******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-02 10:07:27.561654 UTC inp1= 20190427.00 ncores= 5 var= wind submitting calc 2019-04-27 00:00:00 2019-05-02 00:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 GFS 72 15 True GDACS/1000561/2_GFS 6 1 False False 5 20190427.00 wind False *************---------------------****************** ndt: 21 it: 0 ndt: 21 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 1 var wind **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 21 idate: 2019-04-27 06:00:00 running case from 2019-04-27 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.06 RUNNING 2019-04-27 06:00:00 for 72 hours prevCalcDate 2019-04-27 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 21 idate: 2019-04-27 12:00:00 running case from 2019-04-27 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.12 RUNNING 2019-04-27 12:00:00 for 72 hours prevCalcDate 2019-04-27 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 21 idate: 2019-04-27 18:00:00 running case from 2019-04-27 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.18 RUNNING 2019-04-27 18:00:00 for 72 hours prevCalcDate 2019-04-27 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 21 idate: 2019-04-28 00:00:00 running case from 2019-04-28 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.00 RUNNING 2019-04-28 00:00:00 for 72 hours prevCalcDate 2019-04-27 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 21 idate: 2019-04-28 06:00:00 running case from 2019-04-28 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.06 RUNNING 2019-04-28 06:00:00 for 72 hours prevCalcDate 2019-04-28 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 21 idate: 2019-04-28 12:00:00 running case from 2019-04-28 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.12 RUNNING 2019-04-28 12:00:00 for 72 hours prevCalcDate 2019-04-28 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 21 idate: 2019-04-28 18:00:00 running case from 2019-04-28 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.18 RUNNING 2019-04-28 18:00:00 for 72 hours prevCalcDate 2019-04-28 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 21 idate: 2019-04-29 00:00:00 running case from 2019-04-29 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.00 RUNNING 2019-04-29 00:00:00 for 72 hours prevCalcDate 2019-04-28 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 21 idate: 2019-04-29 06:00:00 running case from 2019-04-29 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.06 RUNNING 2019-04-29 06:00:00 for 72 hours prevCalcDate 2019-04-29 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 10 ndt: 21 idate: 2019-04-29 12:00:00 running case from 2019-04-29 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.12 RUNNING 2019-04-29 12:00:00 for 72 hours prevCalcDate 2019-04-29 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 11 ndt: 21 idate: 2019-04-29 18:00:00 running case from 2019-04-29 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.18 RUNNING 2019-04-29 18:00:00 for 72 hours prevCalcDate 2019-04-29 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 12 ndt: 21 idate: 2019-04-30 00:00:00 running case from 2019-04-30 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.00 RUNNING 2019-04-30 00:00:00 for 72 hours prevCalcDate 2019-04-29 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 13 ndt: 21 idate: 2019-04-30 06:00:00 running case from 2019-04-30 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.06 RUNNING 2019-04-30 06:00:00 for 72 hours prevCalcDate 2019-04-30 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 14 ndt: 21 idate: 2019-04-30 12:00:00 running case from 2019-04-30 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.12 RUNNING 2019-04-30 12:00:00 for 72 hours prevCalcDate 2019-04-30 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 15 ndt: 21 idate: 2019-04-30 18:00:00 running case from 2019-04-30 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.18 RUNNING 2019-04-30 18:00:00 for 72 hours prevCalcDate 2019-04-30 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 16 ndt: 21 idate: 2019-05-01 00:00:00 running case from 2019-05-01 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.00 RUNNING 2019-05-01 00:00:00 for 72 hours prevCalcDate 2019-04-30 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 17 ndt: 21 idate: 2019-05-01 06:00:00 running case from 2019-05-01 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.06 RUNNING 2019-05-01 06:00:00 for 72 hours prevCalcDate 2019-05-01 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 18 ndt: 21 idate: 2019-05-01 12:00:00 running case from 2019-05-01 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.12 RUNNING 2019-05-01 12:00:00 for 72 hours prevCalcDate 2019-05-01 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 19 ndt: 21 idate: 2019-05-01 18:00:00 running case from 2019-05-01 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.18 RUNNING 2019-05-01 18:00:00 for 72 hours prevCalcDate 2019-05-01 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 20 ndt: 21 idate: 2019-05-02 00:00:00 running case from 2019-05-02 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.00 RUNNING 2019-05-02 00:00:00 for 72 hours prevCalcDate 2019-05-01 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created home dir /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-27 00:00:00 currdate 2019-05-02 00:00:00 ndt: 120 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-02 00:00:00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 processing all past bull only if Past=True... True itdate, istime 2019-04-27 00:00:00 20190427.00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-27 06:00:00 20190427.06 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-27 12:00:00 20190427.12 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-27 18:00:00 20190427.18 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 00:00:00 20190428.00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 06:00:00 20190428.06 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 12:00:00 20190428.12 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 18:00:00 20190428.18 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 00:00:00 20190429.00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 06:00:00 20190429.06 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 12:00:00 20190429.12 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 18:00:00 20190429.18 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 00:00:00 20190430.00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 06:00:00 20190430.06 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 12:00:00 20190430.12 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 18:00:00 20190430.18 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 00:00:00 20190501.00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 06:00:00 20190501.06 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 12:00:00 20190501.12 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 18:00:00 20190501.18 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/20190502.00_Final_completed_wind.txt FINAL alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00'], dtype='datetime64[ns]', freq='6H') 21 date: 2019-04-27 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-27 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-27 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-02 00:00:00 python /mnt/output/SSCS/scripts_dev/gd0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done al_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif lonminH 72.125 latminH 2.875 lonmaxH 102.625 latmaxH 29.625 [[ 29.625 29.625 29.625 ..., 29.625 29.625 29.625] [ 29.375 29.375 29.375 ..., 29.375 29.375 29.375] [ 29.125 29.125 29.125 ..., 29.125 29.125 29.125] ..., [ 3.375 3.375 3.375 ..., 3.375 3.375 3.375] [ 3.125 3.125 3.125 ..., 3.125 3.125 3.125] [ 2.875 2.875 2.875 ..., 2.875 2.875 2.875]] [[ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] ..., [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625]] 72.125 102.625 2.875 29.625 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_res_t0.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_res_t0.tif. 0................10.10101010.10.............20....20.20202020.............30..30...30...303030......40......4040.......40.4040.50......5050............50505060......6060............70..606060.7070............80......8080707070............90......9090.808080................909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_popfile_t0_clipped.tif. 0.........Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_popfile_t0_clipped.tif. 0101010..................202010101020..............3030......30..202020.......4040........40......5050303030.....50......404040.........505050.......60......6060..........70..60.70.70......60...8060....8080......70...90....9090..........8070......70...90..80......80..90.....90...100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_countryfile_t0_clipped.tif. 0........Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_countryfile_t0_clipped.tif. 01010......10............2020.101010..20...........3030.......202020..30.........4040.......30.3030.40.....50.50............404040..50...6060.............50.5050.6070...70..............60.6060807080..................709070709080..................80808090............909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/wind_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_res_t0.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_res_t0.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_res_t0.tif. 0............101010.....10.1010.........20...20...20..20...2020.......3030......30.30......30.30.4040.......40.....40.....50.404050......50........50...6060..5050..60............7060.70.....606070.........80...80..70...80..7070........9090......9080.......8080.........90...9090........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_popfile_t0_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_popfile_t0_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_popfile_t0_clipped.tif. 0....10.............10101010.10...20...............202020203020.................40.30303030.30..............50...40404040.40.............5050.505050.............60......6060606060............70......707070.7070........80..........8080808080......90............9090909090................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_countryfile_t0_clipped.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_countryfile_t0_clipped.tif. 0......10........10...1010.1010......20........20.2020......2020..30.........30.3030.......40.3030......40.40......40..50......4040.50.50.........6050.......60.505060........70...60......70.7060...60..80.......70..80.80.......70.9070.......90.80..90........80.80.....90......9090.......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/wind_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_res_t0.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_res_t0.tif. 0....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_res_t0.tif. 0........10.10....10.10.10...10........2020......20..2020...20...30....30.......30..3030..4030........40.......40.40.4050..40......50........6050..5050...50....60.....70.....60..6060...60....70..80........70..7070...70..9080............80..8080..80..90..........90.9090.90............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_popfile_t0_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_popfile_t0_clipped.tif. 0.......Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_popfile_t0_clipped.tif. 0......10101010......10......10.....202020.20..........20......3020303030................30.40404040...30..............5050505040..40....50.50.................6060606060......60...........7070.707070..........70.......8080808080................80.9090909090..................90...100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_countryfile_t0_clipped.tif. 0...........101010.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_countryfile_t0_clipped.tif. 0...10.............202020..20...1010...........303030..30.........2020......404040......40..........3030505050......50............6060604040.....60.............707070..5050..70............808080......606080..........90..9090.......90..7070............8080......9090......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/wind_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_res_t0.tif. 0.........101010.........202020.........303030.........404040.........505050.........606060.........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_popfile_t0_clipped.tif. 0.........101010.......20...2020......30...3030......40....4040...50....5050.........606060.........707070.......80...8080......90...9090........100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_countryfile_t0_clipped.tif. 0......Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_countryfile_t0_clipped.tif. 01010.........102020.........203030.........304040.........405050.........506060.........607070.........708080.........809090.........90...100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/wind_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_res_all.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_res_all.tif. 0......Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_res_all.tif. 0.....101010.....10.10.....10......2020...20..20......2020......3030.....30.30.....30....30..40.40...40.......4040......4050.50...50........50..50....6060.50.60.........60.....60.70.70..70..60......70.......808070..80.....70..80........9090..90.80.......9080...........90..90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_popfile_all_clipped.tif. 0....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_popfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_popfile_all_clipped.tif. 0..1010..............1010..101020..20................20302030.2020..............40.40..30.30...30..30....50..50....4040....4040........5050..5050................60..606060.6060...............70707070......7070............80808080.......80.80.......90.90...9090.......9090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_countryfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_countryfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_countryfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_countryfile_all_clipped.tif. 010Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_countryfile_all_clipped.tif. 0...10............20....10.20101010.........30......30...20..202020.......40......40....30..303030..50......50.........40..604040.40......60..........50.70.5050..5070............80..60...6060.60.80.........90.....70...7070.9070.............80..80.8080........90....909090...........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/wind_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_res_all.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_res_all.tif. 0.........Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_res_all.tif. 0.10..1010..10...10........10.20......202020.20..........2030.......30.3030.30.......3040.......40....40.4040....40..50.......50..50.......50505060.......60....60.......607060.60.....70...70.........7080....7070.80...80........9080.......908080..90........90........9090.......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_popfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_popfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_popfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_popfile_all_clipped.tif. 0..10...........10..1010.20..........10.10.3020.20.........20.40........30.20.20.50..30.30.........30...30.40.4040...........40.5050..40.50..50..50..................6060606060.60............70......70707070.70......80............80.8080808090..................9090909090...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_countryfile_all_clipped.tif. 0..........Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_countryfile_all_clipped.tif. 0..10101010..................202010102020..................30303030..2020..............4040..4040..3030..............5050..5050..40.40...........60.60.6060........5050........7070..7070........6060.......80.80.80.80........70....70.90..90.90.90.............8080........9090......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/wind_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_res_all.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_res_all.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_res_all.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_res_all.tif. 0.....10..10....10..1010...10.........2020..20....20.20.20.........30...3030..30....30..30.......40..40.40..40..40.......40....5050..50.....5050..........506060.60......60...60........70706070.....70........70...80.80.80..70...80...........80909090......90.80............90..90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_popfile_all_clipped.tif. 0......Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_popfile_all_clipped.tif. 0......101010...............101010202020..................303030.20.2020..........40.40..40..........3030.30.505050.........404040.........505050.................60.6060...606060............707070.........707070......808080...............808080909090..................909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_countryfile_all_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/wind_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_res_all.tif. 0.........101010.........2020.20.......3030...30.....40.40....40....5050.......50.60.60........607070.........807080.......90...8090........90...100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_popfile_all_clipped.tif. 0.........101010.........202020.........303030.........404040.........505050.........606060.........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_countryfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_countryfile_all_clipped.tif. 0....10.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_countryfile_all_clipped.tif. 0.10......20...2010.....30....30..20..40....40....3050......50...6040.....60....70.50....70...80...60...80...90...70....90....80....90...100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/wind_popDensValues_all.xml >> 7. remove files done Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. t0 completed copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.06/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.18/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.06/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.18/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.06/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.18/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.06/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.18/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.06/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.18/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190502.00/wind_popDensValues_all.xml >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/20190502.00_final_completed_wind.txt input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/wind_popDensValues_final.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/wind_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/wind_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/final/wind_popDensValues_final.xml ============================================================== ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-02 10:38:28.540859 UTC inp1= 20190427.00 ncores= 5 var= rain submitting calc 2019-04-27 00:00:00 2019-05-02 00:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 GFS 72 15 True GDACS/1000561/2_GFS 6 1 False False 5 20190427.00 rain False *************---------------------****************** ndt: 21 it: 0 ndt: 21 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 1 var rain **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 21 idate: 2019-04-27 06:00:00 running case from 2019-04-27 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190427.06 RUNNING 2019-04-27 06:00:00 for 72 hours prevCalcDate 2019-04-27 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 21 idate: 2019-04-27 12:00:00 running case from 2019-04-27 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190427.12 RUNNING 2019-04-27 12:00:00 for 72 hours prevCalcDate 2019-04-27 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 21 idate: 2019-04-27 18:00:00 running case from 2019-04-27 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190427.18 RUNNING 2019-04-27 18:00:00 for 72 hours prevCalcDate 2019-04-27 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 21 idate: 2019-04-28 00:00:00 running case from 2019-04-28 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190428.00 RUNNING 2019-04-28 00:00:00 for 72 hours prevCalcDate 2019-04-27 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 21 idate: 2019-04-28 06:00:00 running case from 2019-04-28 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190428.06 RUNNING 2019-04-28 06:00:00 for 72 hours prevCalcDate 2019-04-28 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 21 idate: 2019-04-28 12:00:00 running case from 2019-04-28 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190428.12 RUNNING 2019-04-28 12:00:00 for 72 hours prevCalcDate 2019-04-28 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 21 idate: 2019-04-28 18:00:00 running case from 2019-04-28 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190428.18 RUNNING 2019-04-28 18:00:00 for 72 hours prevCalcDate 2019-04-28 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 21 idate: 2019-04-29 00:00:00 running case from 2019-04-29 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190429.00 RUNNING 2019-04-29 00:00:00 for 72 hours prevCalcDate 2019-04-28 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 21 idate: 2019-04-29 06:00:00 running case from 2019-04-29 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190429.06 RUNNING 2019-04-29 06:00:00 for 72 hours prevCalcDate 2019-04-29 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 10 ndt: 21 idate: 2019-04-29 12:00:00 running case from 2019-04-29 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190429.12 RUNNING 2019-04-29 12:00:00 for 72 hours prevCalcDate 2019-04-29 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 11 ndt: 21 idate: 2019-04-29 18:00:00 running case from 2019-04-29 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190429.18 RUNNING 2019-04-29 18:00:00 for 72 hours prevCalcDate 2019-04-29 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 12 ndt: 21 idate: 2019-04-30 00:00:00 running case from 2019-04-30 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190430.00 RUNNING 2019-04-30 00:00:00 for 72 hours prevCalcDate 2019-04-29 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 13 ndt: 21 idate: 2019-04-30 06:00:00 running case from 2019-04-30 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190430.06 RUNNING 2019-04-30 06:00:00 for 72 hours prevCalcDate 2019-04-30 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 14 ndt: 21 idate: 2019-04-30 12:00:00 running case from 2019-04-30 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190430.12 RUNNING 2019-04-30 12:00:00 for 72 hours prevCalcDate 2019-04-30 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 15 ndt: 21 idate: 2019-04-30 18:00:00 running case from 2019-04-30 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190430.18 RUNNING 2019-04-30 18:00:00 for 72 hours prevCalcDate 2019-04-30 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 16 ndt: 21 idate: 2019-05-01 00:00:00 running case from 2019-05-01 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190501.00 RUNNING 2019-05-01 00:00:00 for 72 hours prevCalcDate 2019-04-30 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 17 ndt: 21 idate: 2019-05-01 06:00:00 running case from 2019-05-01 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190501.06 RUNNING 2019-05-01 06:00:00 for 72 hours prevCalcDate 2019-05-01 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 18 ndt: 21 idate: 2019-05-01 12:00:00 running case from 2019-05-01 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190501.12 RUNNING 2019-05-01 12:00:00 for 72 hours prevCalcDate 2019-05-01 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 19 ndt: 21 idate: 2019-05-01 18:00:00 running case from 2019-05-01 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190501.18 RUNNING 2019-05-01 18:00:00 for 72 hours prevCalcDate 2019-05-01 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 20 ndt: 21 idate: 2019-05-02 00:00:00 running case from 2019-05-02 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190502.00 RUNNING 2019-05-02 00:00:00 for 72 hours prevCalcDate 2019-05-01 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created home dir /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-27 00:00:00 currdate 2019-05-02 00:00:00 ndt: 120 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-02 00:00:00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 processing all past bull only if Past=True... True itdate, istime 2019-04-27 00:00:00 20190427.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-27 06:00:00 20190427.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-27 12:00:00 20190427.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-27 18:00:00 20190427.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 00:00:00 20190428.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 06:00:00 20190428.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 12:00:00 20190428.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-28 18:00:00 20190428.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 00:00:00 20190429.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 06:00:00 20190429.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 12:00:00 20190429.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-29 18:00:00 20190429.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 00:00:00 20190430.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 06:00:00 20190430.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 100 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 8 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 12:00:00 20190430.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-04-30 18:00:00 20190430.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 00:00:00 20190501.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 06:00:00 20190501.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 12:00:00 20190501.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-01 18:00:00 20190501.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 108 123 73 nt,nx,ny, ntmax 72 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/20190502.00_Final_completed_rain.txt FINAL alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00'], dtype='datetime64[ns]', freq='6H') 21 date: 2019-04-27 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-27 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-27 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-28 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-28 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-28 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-28 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-29 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-29 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-29 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-29 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-30 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-30 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-30 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-04-30 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-05-01 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-05-01 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-05-01 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-05-01 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-05-02 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif --calc="A+B" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif lonminH 72.125 latminH 2.875 lonmaxH 102.625 latmaxH 29.625 [[ 29.625 29.625 29.625 ..., 29.625 29.625 29.625] [ 29.375 29.375 29.375 ..., 29.375 29.375 29.375] [ 29.125 29.125 29.125 ..., 29.125 29.125 29.125] ..., [ 3.375 3.375 3.375 ..., 3.375 3.375 3.375] [ 3.125 3.125 3.125 ..., 3.125 3.125 3.125] [ 2.875 2.875 2.875 ..., 2.875 2.875 2.875]] [[ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] ..., [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625]] 72.125 102.625 2.875 29.625 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_res_t0.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_res_t0.tif. 0..............10...1010.10.10...10......20......20..2020..20.20...30......30........3030..3030..40......40..........404050.4040...50............60..5050..506050..............70....606070.6060.........80......80..7070..70.70....90.......90......8080.80.80.............90909090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_popfile_t0_clipped.tif. 0...10Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_popfile_t0_clipped.tif. 0.............20......1010101010.......30.............402020202020.............50.....3030303030...............4040404040...............5050505050.............60......606060.6060......70.............707070707080..................908080.808080..............90....90909090..............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_countryfile_t0_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_countryfile_t0_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_countryfile_t0_clipped.tif. 0...10Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_countryfile_t0_clipped.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_countryfile_t0_clipped.tif. 0.10...10......20.........10102020......30.....10......30.20203040.................405030403020............60......504040.....50....3070........605050......4080...........6070.6060..90.........50.70.....80.7070.........80......908080.60...90...........9090.......70...80...90...100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_res_t0.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_res_t0.tif. 0.....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_res_t0.tif. 0.....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_res_t0.tif. 010..10..10.10..........10..1020..20...20.....20.......2030.20.30..30..........30.30.40....40.4030............4040.50....50.50...40........5060...50..6060.......50....6070......7070.60..........7060.80.....80.80.....70......80.90.70..90.90..........80.90.....80......90..90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_popfile_t0_clipped.tif. 0.........10Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_popfile_t0_clipped.tif. 01010...............20...2020.10.1010..........30.30..30...........202020.404040...............50.50..50303030.........404040.........505050...............6060...60..60..6060.......70.70....70........70..70708080......80...........90.90.80..808090................909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_countryfile_t0_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_countryfile_t0_clipped.tif. 0.......10.10Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_countryfile_t0_clipped.tif. 0.10.....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_countryfile_t0_clipped.tif. 0......20.20...20..10....10.....30.30...30......10....2040.40..20.40...........50.5030..50.......20.....60.6060...4030...........7070.70.......50....30..8080.80.....40..60.....9090..90............70.40....50..80......50.90..60......60..70....70..80....80..90....90....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_res_t0.tif. 0..................101010101010..................2020202020..20............3030......30303030.........4040...........40404040......5050..............505050506060..................706070606060..................808070.707070.............9090......80808080................90909090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_popfile_t0_clipped.tif. 0.....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_popfile_t0_clipped.tif. 0.10.....10............2010101010.......20......30........20.2020203040................50..3040303030...............5040404040............50505050..................6060.60606060............70.......7070707070......80.............808080808090..................9090909090...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_countryfile_t0_clipped.tif. 0.........Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_countryfile_t0_clipped.tif. 0101010.................2020...10101020............3030......2030..2020......4040............30403030....5050................405040406060..................507070605050................8080..6070..6060............9090......7080..7070..............80908080............909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_res_t0.tif. 0.........101010.........202020.........303030.........404040.........505050.........606060.........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_popfile_t0_clipped.tif. 0.........101010.........202020.........303030.........404040.........505050.......6060......60...7070.......70.80.80........908090.........90...100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_countryfile_t0_clipped.tif. 0.........101010.........202020.........3030.30......40...4040......50...5050......60...6060......70...7070......80...8080......90...9090........100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/rain_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_res_all.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_res_all.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_res_all.tif. 0.........10..10.10.10..10....10......20..20....20.20..20....2030........30....30..30.3040..30..........40....40..405040..40...........50..60.50..50.50.50..........70..60...60..60.60.60........80....70....70.70.7070...90.........80.....80.808080...........90...90.909090..............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_popfile_all_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_countryfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_countryfile_all_clipped.tif. 0......1010..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_countryfile_all_clipped.tif. 0..........1010..2020.........1010.......3030...20.20........20.20.4040..........3030......505030.30............40.406060......40.40..........507070.50........50.50.......8080.6060...........60..609090.......7070.........70..70.....8080.....80..80.....9090.....90..90........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_res_all.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_res_all.tif. 0..............101010.1010...10..............202020.2020...20..............303030.3030...30..............404040.4040...40..............505050.5050...50..............606060.6060...60..............707070.7070...70..............808080.8080...80..............909090.9090...90...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_popfile_all_clipped.tif. 0........Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_popfile_all_clipped.tif. 010.10....10.............20201010.10......20......30.30.........2020.20.3040.40................50.5030304030............50404040.........505050............6060..6060..............7070.60.60..70.70.........8080..........70.7080.809090..................90908080............9090......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_countryfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_countryfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_countryfile_all_clipped.tif. 010..................201010.101010.............30.....2020.202020........40.........30.30303030...50...............4040.4040.4060................50.507050.5050..............8060...60..606060.............9070....70.7070.70............80...80.808080...........90...90.909090..............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_res_all.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_res_all.tif. 0.....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_res_all.tif. 0........1010..10.10.10.........10...2020...20..20..20..........302030..30....30.....30.......4040.3040...40..........40..5050...50..5040............60.6050..60...60...50........70.70...7060.70........60...80.80....80..8070..........9070..90..90...90....80........80.....90..90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_popfile_all_clipped.tif. 0.....Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_popfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_popfile_all_clipped.tif. 0...10.10........10.....1010..10...20.20......20........2020.302030......30...........40..3040.303040..........50......50.50404040.........505050..................606060606060................70..7070.70.7070............8080.......8080.8080......9090............9090.9090.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_countryfile_all_clipped.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_countryfile_all_clipped.tif. 010..................201010101010..................302020202020..................403030303030..................504040404040..................605050505050..................706060606060..................807070707070..................908080808080..................9090909090...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_res_all.tif. 0.........101010.........202020.........303030.........404040.........505050.........606060.........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_popfile_all_clipped.tif. 0..Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_popfile_all_clipped.tif. 0...10......1010...20.......202030.........403030.........504040......5050.........606060.........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_countryfile_all_clipped.tif. 0......Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_countryfile_all_clipped.tif. 01010.........202010.........303020.........404030.........505040.........606050.........706070.........807080.........908090.........90...100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//rain_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. t0 completed copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.06/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190427.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190427.18/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.06/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190428.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190428.18/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.06/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190429.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190429.18/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.06/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190430.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190430.18/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.06/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190501.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190501.18/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190502.00/rain_popDensValues_all.xml >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/20190502.00_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/rain_popDensValues_final.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/final/rain_popDensValues_final.xml ============================================================== ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-03 07:37:56.163085 UTC inp1= 20190427.00 ncores= 5 var= wind submitting calc 2019-04-27 00:00:00 2019-05-03 00:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 GFS 72 15 True GDACS/1000561/2_GFS 6 1 False False 5 20190427.00 wind False *************---------------------****************** ndt: 25 it: 0 ndt: 25 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 1 var wind **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 25 idate: 2019-04-27 06:00:00 running case from 2019-04-27 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.06 RUNNING 2019-04-27 06:00:00 for 72 hours prevCalcDate 2019-04-27 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 25 idate: 2019-04-27 12:00:00 running case from 2019-04-27 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.12 RUNNING 2019-04-27 12:00:00 for 72 hours prevCalcDate 2019-04-27 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 25 idate: 2019-04-27 18:00:00 running case from 2019-04-27 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.18 RUNNING 2019-04-27 18:00:00 for 72 hours prevCalcDate 2019-04-27 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 25 idate: 2019-04-28 00:00:00 running case from 2019-04-28 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.00 RUNNING 2019-04-28 00:00:00 for 72 hours prevCalcDate 2019-04-27 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 25 idate: 2019-04-28 06:00:00 running case from 2019-04-28 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.06 RUNNING 2019-04-28 06:00:00 for 72 hours prevCalcDate 2019-04-28 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 25 idate: 2019-04-28 12:00:00 running case from 2019-04-28 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.12 RUNNING 2019-04-28 12:00:00 for 72 hours prevCalcDate 2019-04-28 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 25 idate: 2019-04-28 18:00:00 running case from 2019-04-28 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.18 RUNNING 2019-04-28 18:00:00 for 72 hours prevCalcDate 2019-04-28 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 25 idate: 2019-04-29 00:00:00 running case from 2019-04-29 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.00 RUNNING 2019-04-29 00:00:00 for 72 hours prevCalcDate 2019-04-28 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 25 idate: 2019-04-29 06:00:00 running case from 2019-04-29 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.06 RUNNING 2019-04-29 06:00:00 for 72 hours prevCalcDate 2019-04-29 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 10 ndt: 25 idate: 2019-04-29 12:00:00 running case from 2019-04-29 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.12 RUNNING 2019-04-29 12:00:00 for 72 hours prevCalcDate 2019-04-29 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 11 ndt: 25 idate: 2019-04-29 18:00:00 running case from 2019-04-29 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.18 RUNNING 2019-04-29 18:00:00 for 72 hours prevCalcDate 2019-04-29 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 12 ndt: 25 idate: 2019-04-30 00:00:00 running case from 2019-04-30 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.00 RUNNING 2019-04-30 00:00:00 for 72 hours prevCalcDate 2019-04-29 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 13 ndt: 25 idate: 2019-04-30 06:00:00 running case from 2019-04-30 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.06 RUNNING 2019-04-30 06:00:00 for 72 hours prevCalcDate 2019-04-30 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 14 ndt: 25 idate: 2019-04-30 12:00:00 running case from 2019-04-30 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.12 RUNNING 2019-04-30 12:00:00 for 72 hours prevCalcDate 2019-04-30 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 15 ndt: 25 idate: 2019-04-30 18:00:00 running case from 2019-04-30 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.18 RUNNING 2019-04-30 18:00:00 for 72 hours prevCalcDate 2019-04-30 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 16 ndt: 25 idate: 2019-05-01 00:00:00 running case from 2019-05-01 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.00 RUNNING 2019-05-01 00:00:00 for 72 hours prevCalcDate 2019-04-30 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 17 ndt: 25 idate: 2019-05-01 06:00:00 running case from 2019-05-01 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.06 RUNNING 2019-05-01 06:00:00 for 72 hours prevCalcDate 2019-05-01 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 18 ndt: 25 idate: 2019-05-01 12:00:00 running case from 2019-05-01 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.12 RUNNING 2019-05-01 12:00:00 for 72 hours prevCalcDate 2019-05-01 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 19 ndt: 25 idate: 2019-05-01 18:00:00 running case from 2019-05-01 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.18 RUNNING 2019-05-01 18:00:00 for 72 hours prevCalcDate 2019-05-01 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 20 ndt: 25 idate: 2019-05-02 00:00:00 running case from 2019-05-02 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.00 RUNNING 2019-05-02 00:00:00 for 72 hours prevCalcDate 2019-05-01 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 21 ndt: 25 idate: 2019-05-02 06:00:00 running case from 2019-05-02 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.06 RUNNING 2019-05-02 06:00:00 for 72 hours prevCalcDate 2019-05-02 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 22 ndt: 25 idate: 2019-05-02 12:00:00 running case from 2019-05-02 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.12 RUNNING 2019-05-02 12:00:00 for 72 hours prevCalcDate 2019-05-02 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 23 ndt: 25 idate: 2019-05-02 18:00:00 running case from 2019-05-02 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.18 RUNNING 2019-05-02 18:00:00 for 72 hours prevCalcDate 2019-05-02 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 24 ndt: 25 idate: 2019-05-03 00:00:00 running case from 2019-05-03 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190503.00 RUNNING 2019-05-03 00:00:00 for 72 hours prevCalcDate 2019-05-02 18:00:00 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created home dir /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-27 00:00:00 currdate 2019-05-03 00:00:00 ndt: 144 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00', '2019-05-02 06:00:00', '2019-05-02 12:00:00', '2019-05-02 18:00:00', '2019-05-03 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-03 00:00:00 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 processing all past bull only if Past=True... True itdate, istime 2019-04-27 00:00:00 20190427.00 meteo-processing past forecast already completed itdate, istime 2019-04-27 06:00:00 20190427.06 meteo-processing past forecast already completed itdate, istime 2019-04-27 12:00:00 20190427.12 meteo-processing past forecast already completed itdate, istime 2019-04-27 18:00:00 20190427.18 meteo-processing past forecast already completed itdate, istime 2019-04-28 00:00:00 20190428.00 meteo-processing past forecast already completed itdate, istime 2019-04-28 06:00:00 20190428.06 meteo-processing past forecast already completed itdate, istime 2019-04-28 12:00:00 20190428.12 meteo-processing past forecast already completed itdate, istime 2019-04-28 18:00:00 20190428.18 meteo-processing past forecast already completed itdate, istime 2019-04-29 00:00:00 20190429.00 meteo-processing past forecast already completed itdate, istime 2019-04-29 06:00:00 20190429.06 meteo-processing past forecast already completed itdate, istime 2019-04-29 12:00:00 20190429.12 meteo-processing past forecast already completed itdate, istime 2019-04-29 18:00:00 20190429.18 meteo-processing past forecast already completed itdate, istime 2019-04-30 00:00:00 20190430.00 meteo-processing past forecast already completed itdate, istime 2019-04-30 06:00:00 20190430.06 meteo-processing past forecast already completed itdate, istime 2019-04-30 12:00:00 20190430.12 meteo-processing past forecast already completed itdate, istime 2019-04-30 18:00:00 20190430.18 meteo-processing past forecast already completed itdate, istime 2019-05-01 00:00:00 20190501.00 meteo-processing past forecast already completed itdate, istime 2019-05-01 06:00:00 20190501.06 meteo-processing past forecast already completed itdate, istime 2019-05-01 12:00:00 20190501.12 meteo-processing past forecast already completed itdate, istime 2019-05-01 18:00:00 20190501.18 meteo-processing past forecast already completed itdate, istime 2019-05-02 00:00:00 20190502.00 meteo-processing past forecast already completed itdate, istime 2019-05-02 06:00:00 20190502.06 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-02 12:00:00 20190502.12 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-05-02 18:00:00 20190502.18 forcing GFS verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 108 123 ...start calculating velAll ...end calculating velAll 73 108 123 nt,nx,ny, ntmax 73 108 123 73 [72.0, 0.25, 0, 29.75, 0, -0.25] *********** 6 1 6 varMAX.shape (108, 123) lonmin 72.0 latmin 3.0 lonmax 102.5 latmax 29.75 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (108,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (123,) filling off 72.0 102.5 3.0 29.75 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind.jpg dtk,nt,ntmax 6 73 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/20190503.00_Final_completed_wind.txt FINAL remove maxtif alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00', '2019-05-02 06:00:00', '2019-05-02 12:00:00', '2019-05-02 18:00:00', '2019-05-03 00:00:00'], dtype='datetime64[ns]', freq='6H') 25 date: 2019-04-27 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.00/20190427.00_wind_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.06/20190427.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-27 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.12/20190427.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-27 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190427.18/20190427.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.00/20190428.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.06/20190428.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.12/20190428.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-28 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190428.18/20190428.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.00/20190429.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.06/20190429.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.12/20190429.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-29 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190429.18/20190429.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.00/20190430.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.06/20190430.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.12/20190430.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-04-30 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190430.18/20190430.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.00/20190501.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.06/20190501.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.12/20190501.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-01 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190501.18/20190501.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-02 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.00/20190502.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-02 06:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-02 12:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 0 .. 10 .. 20 .. 40 .. 50 .. 70 .. 80 .. 100 - Done 20190502.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-02 18:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" date: 2019-05-03 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif --calc="maximum(A,B)" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif lonminH 72.125 latminH 2.875 lonmaxH 102.625 latmaxH 29.625 [[ 29.625 29.625 29.625 ..., 29.625 29.625 29.625] [ 29.375 29.375 29.375 ..., 29.375 29.375 29.375] [ 29.125 29.125 29.125 ..., 29.125 29.125 29.125] ..., [ 3.375 3.375 3.375 ..., 3.375 3.375 3.375] [ 3.125 3.125 3.125 ..., 3.125 3.125 3.125] [ 2.875 2.875 2.875 ..., 2.875 2.875 2.875]] [[ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] ..., [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625] [ 72.125 72.375 72.625 ..., 102.125 102.375 102.625]] 72.125 102.625 2.875 29.625 lon 123 lat 108 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_res_t0.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_res_t0.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_res_t0.tif. 0...........101010.10..........2020.20..20........30.3030......30.....404040.........40..50.5050...........60506060............70706070...........80.8080.70..........909090.....80........90...100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_popfile_t0_clipped.tif. 0.........1010Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_popfile_t0_clipped.tif. 010............20201020...........3030.30..20.......4040....40....30...5050..50..40...50...........6060.60..60........7070....7070........8080....80.80......9090.....90..90........100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_countryfile_t0_clipped.tif. 0............10101010............20202020............30303030.........40....404040........50....505050........60....606060........70.....707070....80........808080....90........909090..........100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00/wind_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_res_all.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_res_all.tif. 0............10101010............20202020............30303030............40404040............50505050..........60..60.6060.........7070.....7070.....80.80........8080.90..90..........9090......100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_popfile_all_clipped.tif. 0...Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_popfile_all_clipped.tif. 0........101010....10.......202020..........20.303030............40404030...........505050.40...50...........606060.....60......707070...........70808080...........90.9090...80.........90...100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_countryfile_all_clipped.tif. 0.Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_countryfile_all_clipped.tif. 0.........10.10..10.10.......20.20..20.....20....30.30..30.....30....40.40..40.....40....50.50..50.....50...60..60..60......60..70.70....70.....70..80.80....80.......809090....90........90....100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.12/20190502.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190503.00/20190503.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.06/20190502.06_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/20190502.18/20190502.18_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18/wind_popDensValues_all.xml >> 7. remove files done Creating output file that is 3690P x 3240L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/lspop20141.tif. Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif. Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3690P x 3240L. Processing input file /mnt/output/GDACS/DATA/countries.tif. Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif. Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. t0 completed copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.06/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190502.06/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190502.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190502.18/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190502.18/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/20190503.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/delft3d/20190503.00/wind_popDensValues_all.xml >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/20190503.00_final_completed_wind.txt input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/tif/final/wind_final.tif hurName: hdate: var: wind10m description: wind10m: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final//wind10m_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/wind_popDensValues_final.xml xml file exists...REMOVE popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/class/final/wind_popDensValues_final.xml >> 7. remove files done ============================================================== ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-03 08:20:55.675884 UTC inp1= 20190427.00 ncores= 5 var= wind submitting calc 2019-04-27 00:00:00 2019-05-03 00:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 GFS 72 15 True GDACS/1000561/2_GFS 6 1 False False 5 20190427.00 wind False *************---------------------****************** ndt: 25 it: 0 ndt: 25 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 1 var wind **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 25 idate: 2019-04-27 06:00:00 running case from 2019-04-27 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.06 RUNNING 2019-04-27 06:00:00 for 72 hours prevCalcDate 2019-04-27 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 25 idate: 2019-04-27 12:00:00 running case from 2019-04-27 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.12 RUNNING 2019-04-27 12:00:00 for 72 hours prevCalcDate 2019-04-27 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 25 idate: 2019-04-27 18:00:00 running case from 2019-04-27 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.18 RUNNING 2019-04-27 18:00:00 for 72 hours prevCalcDate 2019-04-27 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 25 idate: 2019-04-28 00:00:00 running case from 2019-04-28 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.00 RUNNING 2019-04-28 00:00:00 for 72 hours prevCalcDate 2019-04-27 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 25 idate: 2019-04-28 06:00:00 running case from 2019-04-28 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.06 RUNNING 2019-04-28 06:00:00 for 72 hours prevCalcDate 2019-04-28 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 25 idate: 2019-04-28 12:00:00 running case from 2019-04-28 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.12 RUNNING 2019-04-28 12:00:00 for 72 hours prevCalcDate 2019-04-28 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 25 idate: 2019-04-28 18:00:00 running case from 2019-04-28 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190428.18 RUNNING 2019-04-28 18:00:00 for 72 hours prevCalcDate 2019-04-28 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 25 idate: 2019-04-29 00:00:00 running case from 2019-04-29 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.00 RUNNING 2019-04-29 00:00:00 for 72 hours prevCalcDate 2019-04-28 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 25 idate: 2019-04-29 06:00:00 running case from 2019-04-29 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.06 RUNNING 2019-04-29 06:00:00 for 72 hours prevCalcDate 2019-04-29 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 10 ndt: 25 idate: 2019-04-29 12:00:00 running case from 2019-04-29 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.12 RUNNING 2019-04-29 12:00:00 for 72 hours prevCalcDate 2019-04-29 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 11 ndt: 25 idate: 2019-04-29 18:00:00 running case from 2019-04-29 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190429.18 RUNNING 2019-04-29 18:00:00 for 72 hours prevCalcDate 2019-04-29 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 12 ndt: 25 idate: 2019-04-30 00:00:00 running case from 2019-04-30 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.00 RUNNING 2019-04-30 00:00:00 for 72 hours prevCalcDate 2019-04-29 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 13 ndt: 25 idate: 2019-04-30 06:00:00 running case from 2019-04-30 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.06 RUNNING 2019-04-30 06:00:00 for 72 hours prevCalcDate 2019-04-30 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 14 ndt: 25 idate: 2019-04-30 12:00:00 running case from 2019-04-30 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.12 RUNNING 2019-04-30 12:00:00 for 72 hours prevCalcDate 2019-04-30 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 15 ndt: 25 idate: 2019-04-30 18:00:00 running case from 2019-04-30 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190430.18 RUNNING 2019-04-30 18:00:00 for 72 hours prevCalcDate 2019-04-30 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 16 ndt: 25 idate: 2019-05-01 00:00:00 running case from 2019-05-01 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.00 RUNNING 2019-05-01 00:00:00 for 72 hours prevCalcDate 2019-04-30 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 17 ndt: 25 idate: 2019-05-01 06:00:00 running case from 2019-05-01 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.06 RUNNING 2019-05-01 06:00:00 for 72 hours prevCalcDate 2019-05-01 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 18 ndt: 25 idate: 2019-05-01 12:00:00 running case from 2019-05-01 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.12 RUNNING 2019-05-01 12:00:00 for 72 hours prevCalcDate 2019-05-01 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 19 ndt: 25 idate: 2019-05-01 18:00:00 running case from 2019-05-01 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190501.18 RUNNING 2019-05-01 18:00:00 for 72 hours prevCalcDate 2019-05-01 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 20 ndt: 25 idate: 2019-05-02 00:00:00 running case from 2019-05-02 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.00 RUNNING 2019-05-02 00:00:00 for 72 hours prevCalcDate 2019-05-01 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 21 ndt: 25 idate: 2019-05-02 06:00:00 running case from 2019-05-02 06:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.06 RUNNING 2019-05-02 06:00:00 for 72 hours prevCalcDate 2019-05-02 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 22 ndt: 25 idate: 2019-05-02 12:00:00 running case from 2019-05-02 12:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.12 RUNNING 2019-05-02 12:00:00 for 72 hours prevCalcDate 2019-05-02 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 23 ndt: 25 idate: 2019-05-02 18:00:00 running case from 2019-05-02 18:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190502.18 RUNNING 2019-05-02 18:00:00 for 72 hours prevCalcDate 2019-05-02 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 24 ndt: 25 idate: 2019-05-03 00:00:00 running case from 2019-05-03 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190503.00 RUNNING 2019-05-03 00:00:00 for 72 hours prevCalcDate 2019-05-02 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created home dir /mnt/output/SSCS/2019/GDACS/1000561/2_GFS/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-27 00:00:00 currdate 2019-05-03 00:00:00 ndt: 144 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-04-27 00:00:00', '2019-04-27 06:00:00', '2019-04-27 12:00:00', '2019-04-27 18:00:00', '2019-04-28 00:00:00', '2019-04-28 06:00:00', '2019-04-28 12:00:00', '2019-04-28 18:00:00', '2019-04-29 00:00:00', '2019-04-29 06:00:00', '2019-04-29 12:00:00', '2019-04-29 18:00:00', '2019-04-30 00:00:00', '2019-04-30 06:00:00', '2019-04-30 12:00:00', '2019-04-30 18:00:00', '2019-05-01 00:00:00', '2019-05-01 06:00:00', '2019-05-01 12:00:00', '2019-05-01 18:00:00', '2019-05-02 00:00:00', '2019-05-02 06:00:00', '2019-05-02 12:00:00', '2019-05-02 18:00:00', '2019-05-03 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-03 00:00:00 ********** no new data no new data ==============================================================