******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-02 10:20:29.857383 UTC inp1= 20190426.12 ncores= 5 var= wind submitting calc 2019-04-26 12:00:00 2019-05-01 12:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 ECMWF 72 15 True GDACS/1000561/2_ECMWF 6 1 False False 5 20190426.12 wind False *************---------------------****************** ndt: 11 it: 0 ndt: 11 idate: 2019-04-26 12:00:00 running case from 2019-04-26 12:00:00 for 72 h start= 1 var wind **** gometeo: 72 listWindows rundate:20190426.12 RUNNING 2019-04-26 12:00:00 for 72 hours prevCalcDate 2019-04-26 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.886097 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190426.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= False forceFinal= False forceBulletin= False it: 1 ndt: 11 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.902201 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190427.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 2 ndt: 11 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.917988 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190427.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 3 ndt: 11 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.934388 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190428.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 4 ndt: 11 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.949432 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190428.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 5 ndt: 11 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.964448 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190429.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 6 ndt: 11 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.979296 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190429.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 7 ndt: 11 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:29.995318 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190430.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 8 ndt: 11 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:30.010649 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190430.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 9 ndt: 11 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:30.025906 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190501.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 10 ndt: 11 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 10:20:30.040395 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done ..1.1 calling ECMWF_2_netcdf... ...ready to create the netcdf file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190501.12.tropical_cyclone.nc ...opening grib file /mnt/input/grib/2019/05/01/20190501.12.tropical_cyclone.grib ...no data in /mnt/input/grib/2019/05/01/20190501.12.tropical_cyclone.grib ret= -4 removing submitted ret= -4 newcase= True forceFinal= False forceBulletin= False meteo file not yet available home dir /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/ ret -4 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-26 12:00:00 currdate 2019-05-01 12:00:00 ndt: 120 delta: 12 nt1=delta 12 nt 72 alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00', '2019-05-01 12:00:00'], dtype='datetime64[ns]', freq='12H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-01 12:00:00 forcing ECMWF verifying that input file is present file does not exist: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190501.12.tropical_cyclone.nc ..exiting processing all past bull only if Past=True... True itdate, istime 2019-04-26 12:00:00 20190426.12 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-27 00:00:00 20190427.00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-27 12:00:00 20190427.12 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-28 00:00:00 20190428.00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-28 12:00:00 20190428.12 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-29 00:00:00 20190429.00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-29 12:00:00 20190429.12 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-30 00:00:00 20190430.00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-30 12:00:00 20190430.12 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-05-01 00:00:00 20190501.00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/20190501.12_Final_completed_wind.txt FINAL alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00', '2019-05-01 12:00:00'], dtype='datetime64[ns]', freq='12H') 11 date: 2019-04-27 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.1No such file or directory: '/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif' 2_wind.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif --calc="maximum(A,B)" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif lonminH 71.8255009155 latminH 2.78349893188 lonmaxH 102.923500916 latmaxH 29.8344989319 [[ 29.83449893 29.83449893 29.83449893 ..., 29.83449893 29.83449893 29.83449893] [ 29.76349893 29.76349893 29.76349893 ..., 29.76349893 29.76349893 29.76349893] [ 29.69249893 29.69249893 29.69249893 ..., 29.69249893 29.69249893 29.69249893] ..., [ 2.92549893 2.92549893 2.92549893 ..., 2.92549893 2.92549893 2.92549893] [ 2.85449893 2.85449893 2.85449893 ..., 2.85449893 2.85449893 2.85449893] [ 2.78349893 2.78349893 2.78349893 ..., 2.78349893 2.78349893 2.78349893]] [[ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] ..., [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092]] 71.8255009155 102.923500916 2.78349893188 29.8344989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//wind10m_res_t0.tif. 0...............10...1010..101010............2020......2020.2020........3030...........30303030......4040............40..4040405050..................505060605050..................70706060.6060..............8080.....70707070..........9090........8080..8080..............90909090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.00//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.00//wind10m_popfile_t0_clipped.tif. 0.Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.00//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190426.12//wind10m_popfile_t0_clipped.tif. 0.............1010.......10101010.......20.20............20202020.3030...............40...40.30303030.........50....50....40404040............50505050..............6060.......60606060.......7070..............707070708080..............90....90.80.808080................90909090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.12//wind10m_countryfile_t0_clipped.tif. 0.Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190426.12//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.12//wind10m_countryfile_t0_clipped.tif. 0..........10Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.00//wind10m_countryfile_t0_clipped.tif. 0.....10.10.1010.......20........2010...202020...30..........30..20....30.303040.........40......30..50.40.4040.......50......6040......50.5050..60.......70....50......60606070....80........60.......8070707090.............70...90..80.8080..........80....909090........90......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00/wind_popDensValues_t0.xml >> 7. remove files done lim core input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) file not exist /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_t0.tif Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//wind10m_res_t0.tif. 0..........10..10.1010.........20.20..20..20......3030.....30....30.40..40.....40.....4050.50.......50....605060.........60.70..70..60......70..80.80.....70.....8090.90.......80....90.....90...100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.00//wind10m_popfile_t0_clipped.tif. 0..Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.00//wind10m_popfile_t0_clipped.tif. 0........1010....1010........2020.....20.20....3030........3030....4040........4040...5050.....5050............60606060............70707070............80808080............90909090............100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.12//wind10m_countryfile_t0_clipped.tif. 0...Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.12//wind10m_countryfile_t0_clipped.tif. 010............10101020............20302020............30403030............40504040............50605050............60706060............70807070...........80.9080.80..........90.90.90........100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12/wind_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//wind10m_res_all.tif. 0................10.10.1010..1010..............20202020........2020........303030..30..........3030.....4040.4040............40...40..50505050.............50....60.60506060..............60..7070..7070...60..........70...8080.8080.......70......80...9090..9090..........80...90........90...100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.00//wind10m_popfile_all_clipped.tif. 0..Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.12//wind10m_popfile_all_clipped.tif. 0.Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.12//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190426.12//wind10m_popfile_all_clipped.tif. 0..........1010..10......10...1010......202020..............20.3030202030................404040..30...3030..........505050.....4040.40......50..5050...............606060......60..6060.......707070..............707070.808080................90.90.90..808080................909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190426.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.00//wind10m_countryfile_all_clipped.tif. 0......1010Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190427.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190428.12//wind10m_countryfile_all_clipped.tif. 0..............2020........10101010......3030..............202020204040..................505030303030..............6060......40404040............7070........50505050......8080..............606060609090..................70707070............80808080............90909090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12/wind_popDensValues_all.xml >> 7. remove files done lim core input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) file not exist /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//wind10m_res_all.tif. 0.Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//wind10m_res_all.tif. 0........10...10.1010.........2020....2020........3030.....3030.....40..40.....4040...50.....50.....5050.60.......60....706060........70...80.7070.........8090....8080........90...9090........100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.00//wind10m_popfile_all_clipped.tif. 0...10Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.00//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.12//wind10m_popfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.12//wind10m_popfile_all_clipped.tif. 0.........20....101010.....30.........20202040.........50...303030.........404040.........505050.......60.......606060...70..........80707070.........90....80.8080..........909090.........100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190429.12//wind10m_countryfile_all_clipped.tif. 0.Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.00//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190430.00//wind10m_countryfile_all_clipped.tif. 0.........1010....10.10.....20.20.......2020...30.30.........3030.40.40...........50404050...........60.60.5050.........70..70.60..60....80....80....7070...90...90........8080.......9090......100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/20190430.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/20190501.00/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12/wind_popDensValues_all.xml >> 7. remove files done Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/final//wind10m_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/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_ECMWF/class/20190426.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190426.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190427.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190427.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190428.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190428.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190429.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190429.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190430.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190430.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190501.00/wind_popDensValues_all.xml >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/20190501.12_final_completed_wind.txt input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/wind_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/wind_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/final/wind_popDensValues_final.xml ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-05-02 10:20:29.857383 UTC Case completed at: 2019-05-02 10:27:28.302983 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-02 11:57:12.749351 UTC inp1= 20190426.12 ncores= 5 var= wind submitting calc 2019-04-26 12:00:00 2019-05-01 00:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 ECMWF 72 15 True GDACS/1000561/2_ECMWF 6 1 False False 5 20190426.12 wind False *************---------------------****************** ndt: 10 it: 0 ndt: 10 idate: 2019-04-26 12:00:00 running case from 2019-04-26 12:00:00 for 72 h start= 1 var wind **** gometeo: 72 listWindows rundate:20190426.12 RUNNING 2019-04-26 12:00:00 for 72 hours prevCalcDate 2019-04-26 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.785780 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190426.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= False forceFinal= False forceBulletin= False it: 1 ndt: 10 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.806613 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190427.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 2 ndt: 10 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.824403 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190427.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 3 ndt: 10 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.843070 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190428.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 4 ndt: 10 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.862838 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190428.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 5 ndt: 10 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.879587 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190429.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 6 ndt: 10 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.897307 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190429.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 7 ndt: 10 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.915770 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190430.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 8 ndt: 10 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.933648 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190430.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 9 ndt: 10 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-02 11:57:12.951410 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/final//wind10m_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/final//wind10m_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190501.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False home dir /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-26 12:00:00 currdate 2019-05-01 00:00:00 ndt: 108 delta: 12 nt1=delta 12 nt 72 alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00'], dtype='datetime64[ns]', freq='12H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-01 00:00:00 processing all past bull only if Past=True... True itdate, istime 2019-04-26 12:00:00 20190426.12 meteo-processing past forecast already completed itdate, istime 2019-04-27 00:00:00 20190427.00 meteo-processing past forecast already completed itdate, istime 2019-04-27 12:00:00 20190427.12 meteo-processing past forecast already completed itdate, istime 2019-04-28 00:00:00 20190428.00 meteo-processing past forecast already completed itdate, istime 2019-04-28 12:00:00 20190428.12 meteo-processing past forecast already completed itdate, istime 2019-04-29 00:00:00 20190429.00 meteo-processing past forecast already completed itdate, istime 2019-04-29 12:00:00 20190429.12 meteo-processing past forecast already completed itdate, istime 2019-04-30 00:00:00 20190430.00 meteo-processing past forecast already completed itdate, istime 2019-04-30 12:00:00 20190430.12 meteo-processing past forecast already completed >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/20190501.00_Final_completed_wind.txt FINAL remove maxtif alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00'], dtype='datetime64[ns]', freq='12H') 10 date: 2019-04-27 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif --calc="maximum(A,B)" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif lonminH 71.8255009155 latminH 2.78349893188 lonmaxH 102.923500916 latmaxH 29.8344989319 [[ 29.83449893 29.83449893 29.83449893 ..., 29.83449893 29.83449893 29.83449893] [ 29.76349893 29.76349893 29.76349893 ..., 29.76349893 29.76349893 29.76349893] [ 29.69249893 29.69249893 29.69249893 ..., 29.69249893 29.69249893 29.69249893] ..., [ 2.92549893 2.92549893 2.92549893 ..., 2.92549893 2.92549893 2.92549893] [ 2.85449893 2.85449893 2.85449893 ..., 2.85449893 2.85449893 2.85449893] [ 2.78349893 2.78349893 2.78349893 ..., 2.78349893 2.78349893 2.78349893]] [[ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] ..., [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092]] 71.8255009155 102.923500916 2.78349893188 29.8344989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast t0 completed t0 completed >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/20190501.00_final_completed_wind.txt input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/final/wind_popDensValues_final.xml >> 7. remove files done ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-05-02 11:57:12.749351 UTC Case completed at: 2019-05-02 11:58:01.872148 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-02 17:04:45.641109 UTC inp1= 20190426.12 ncores= 5 var= rain submitting calc 2019-04-26 12:00:00 2019-05-01 00:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 ECMWF 72 15 True GDACS/1000561/2_ECMWF 6 1 False False 5 20190426.12 rain False *************---------------------****************** ndt: 10 it: 0 ndt: 10 idate: 2019-04-26 12:00:00 running case from 2019-04-26 12:00:00 for 72 h start= 1 var rain **** gometeo: 72 listWindows rundate:20190426.12 RUNNING 2019-04-26 12:00:00 for 72 hours prevCalcDate 2019-04-26 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 10 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 10 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 10 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 10 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 10 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 10 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 10 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 10 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 10 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 12:00:00 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 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_ECMWF/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-26 12:00:00 currdate 2019-05-01 00:00:00 ndt: 108 delta: 12 nt1=delta 12 nt 72 alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00'], dtype='datetime64[ns]', freq='12H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-01 00:00:00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 processing all past bull only if Past=True... True itdate, istime 2019-04-26 12:00:00 20190426.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-27 00:00:00 20190427.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-27 12:00:00 20190427.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-28 00:00:00 20190428.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-28 12:00:00 20190428.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-29 00:00:00 20190429.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-29 12:00:00 20190429.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-30 00:00:00 20190430.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-04-30 12:00:00 20190430.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 382 439 73 nt,nx,ny, ntmax 72 382 439 73 [71.859437390115758, 0.07, 0, 29.841827141329258, 0, -0.07] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.8594373901 latmin 3.0579964267 lonmax 102.656339129 latmax 29.8418271413 float64 latitude(latitude) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(longitude) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.8594373901 102.656339129 3.0579964267 29.8418271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/20190501.00_Final_completed_rain.txt FINAL alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00'], dtype='datetime64[ns]', freq='12H') 10 date: 2019-04-27 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_final.tif --calc="A+B" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_final.tif lonminH 71.8944373901 latminH 3.13682714133 lonmaxH 102.55443739 latmaxH 29.8068271413 [[ 29.80682714 29.80682714 29.80682714 ..., 29.80682714 29.80682714 29.80682714] [ 29.73682714 29.73682714 29.73682714 ..., 29.73682714 29.73682714 29.73682714] [ 29.66682714 29.66682714 29.66682714 ..., 29.66682714 29.66682714 29.66682714] ..., [ 3.27682714 3.27682714 3.27682714 ..., 3.27682714 3.27682714 3.27682714] [ 3.20682714 3.20682714 3.20682714 ..., 3.20682714 3.20682714 3.20682714] [ 3.13682714 3.13682714 3.13682714 ..., 3.13682714 3.13682714 3.13682714]] [[ 71.89443739 71.96443739 72.03443739 ..., 102.41443739 102.48443739 102.55443739] [ 71.89443739 71.96443739 72.03443739 ..., 102.41443739 102.48443739 102.55443739] [ 71.89443739 71.96443739 72.03443739 ..., 102.41443739 102.48443739 102.55443739] ..., [ 71.89443739 71.96443739 72.03443739 ..., 102.41443739 102.48443739 102.55443739] [ 71.89443739 71.96443739 72.03443739 ..., 102.41443739 102.48443739 102.55443739] [ 71.89443739 71.96443739 72.03443739 ..., 102.41443739 102.48443739 102.55443739]] 71.8944373901 102.55443739 3.13682714133 29.8068271413 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//rain_res_t0.tif. 0.Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//rain_res_t0.tif. 0.............10....10.1010.1010............2020......20202020........30....30.......30303030......40......40.......40404040.50...........50......6050505050.............60....70.60.606060............7080......70707070........90....80.......80808080...........90.....90909090..............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190426.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.00//rain_popfile_t0_clipped.tif. 0..Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.00//rain_popfile_t0_clipped.tif. 0..............1010..1010..10.10.............20202020......2020............30303030......3030............40404040......4040...........50.505050..5050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.00//rain_countryfile_t0_clipped.tif. 0......Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190426.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.00//rain_countryfile_t0_clipped.tif. 01010..................2020..10101010............3030......2020..2020......4040............30303030......5050..............404040406060..................505070705050..................8080606060..60.............9090.....70707070................80808080............90909090............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190429.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190428.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190427.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12/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 0.00833333333322 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_ECMWF/class/20190426.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190427.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190428.00/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//rain_res_t0.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//rain_res_t0.tif. 0..........1010....1010........2020......2020....3030........3030..4040............40405050............60605050............7070..6060........8080....7070......9090........8080........9090......100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.00//rain_popfile_t0_clipped.tif. 0...10Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190501.00//rain_popfile_t0_clipped.tif. 0.........20....101010.....30.........20204020.........50...303030.........404040.........505050.........60....6060.60....70.........70707080...........90.8080.80...........909090.........100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.12//rain_countryfile_t0_clipped.tif. 0...10Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190501.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.00//rain_countryfile_t0_clipped.tif. 0.........20.....101010....30.........20202040............50303030............6040.4040........70....5050.50.....80.......606060..90...........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190430.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190501.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190429.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190430.12/rain_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//rain_res_all.tif. 0.Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//rain_res_all.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//rain_res_all.tif. 0...Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//rain_res_all.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//rain_res_all.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//rain_res_all.tif. 0.......10......1010.10....10.10......20.....20.2020......20.20......3030......3030......3030.....40.40.......4040......404050......50......5050....60..5050.......60......606070......6060.......70....80.7070.......7070......80...90..8080......80.80......90.....9090.....9090...........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.00//rain_popfile_all_clipped.tif. 0...Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.12//rain_popfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190426.12//rain_popfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.12//rain_popfile_all_clipped.tif. 010..................201010101010.............30.......20202020.2040.................50.3030303030...............4040404040...............5050505050.................60.60606060.60...........70.......70707070.70.....80............80..80808090.80................9090.9090..90.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190426.12//rain_countryfile_all_clipped.tif. 0...10Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.00//rain_countryfile_all_clipped.tif. 0.Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.12//rain_countryfile_all_clipped.tif. 0.......20......1010.10..30....Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190427.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190428.00//rain_countryfile_all_clipped.tif. 0......2020..4020................50303030...1010.........60...404040..........70......50.50202050....80..........60..60.60.90............3030.707070.............808080........4040...909090...............5050......6060......7070....100 - done. ..8080.....90..90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190426.12/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 0.00833333333322 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_ECMWF/class/20190426.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190427.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190428.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190428.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190429.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190427.00/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//rain_res_all.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//rain_res_all.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//rain_res_all.tif. 0Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//rain_res_all.tif. 0............10101010............20202020............30303030............40404040............50505050............60606060............70707070............80808080............90909090............100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.12//rain_popfile_all_clipped.tif. 0.Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.00//rain_popfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.12//rain_popfile_all_clipped.tif. 0.....Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190501.00//rain_popfile_all_clipped.tif. 010....10....10....20.10..20.......3020....30.20...40.......3040....50.30...50..40..40...50..50........60....60.60...60..70.......70..70.80..70.....80...90..80.....9080.......90...90.....100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190429.12//rain_countryfile_all_clipped.tif. 0..Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.00//rain_countryfile_all_clipped.tif. 0..10.....1020Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190430.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 3688P x 3209L. 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_ECMWF/class/20190501.00//rain_countryfile_all_clipped.tif. 0........30..20.......40.1010.30......50....40.....60.2020...50....70.........6080..3030......9070..........804040.....90.......5050......6060......7070......8080......9090100 - done. ......100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190429.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190430.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190430.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/20190501.00/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 3688P x 3209L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3688P x 3209L. 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_ECMWF/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_ECMWF/class/20190426.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190426.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190427.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190427.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190427.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190428.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190428.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190428.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190429.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190429.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190429.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190430.00/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190430.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190430.12/rain_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190501.00/rain_popDensValues_all.xml >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/20190501.00_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333322 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_ECMWF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/final/rain_popDensValues_final.xml ============================================================== ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-05-03 07:37:26.554064 UTC inp1= 20190426.12 ncores= 5 var= wind submitting calc 2019-04-26 12:00:00 2019-05-02 12:00:00 delft3d 71.79 102.69 3.0 29.87 4.0 ECMWF 72 15 True GDACS/1000561/2_ECMWF 6 1 False False 5 20190426.12 wind False *************---------------------****************** ndt: 13 it: 0 ndt: 13 idate: 2019-04-26 12:00:00 running case from 2019-04-26 12:00:00 for 72 h start= 1 var wind **** gometeo: 72 listWindows rundate:20190426.12 RUNNING 2019-04-26 12:00:00 for 72 hours prevCalcDate 2019-04-26 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.604142 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190426.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= False forceFinal= False forceBulletin= False it: 1 ndt: 13 idate: 2019-04-27 00:00:00 running case from 2019-04-27 00:00:00 for 72 h start= 0 var wind **** gometeo: 72 listWindows rundate:20190427.00 RUNNING 2019-04-27 00:00:00 for 72 hours prevCalcDate 2019-04-26 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.622533 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190427.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 2 ndt: 13 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.639128 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190427.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 3 ndt: 13 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.655569 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190428.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 4 ndt: 13 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.671565 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190428.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 5 ndt: 13 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.688661 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190429.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 6 ndt: 13 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.705491 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190429.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 7 ndt: 13 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.722395 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190430.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 8 ndt: 13 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.738908 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190430.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 9 ndt: 13 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.755090 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190501.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 10 ndt: 13 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.770938 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190501.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 11 ndt: 13 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 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.786916 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190502.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False it: 12 ndt: 13 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 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-05-03 07:37:26.802899 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/netcdf/20190502.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False home dir /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-04-26 12:00:00 currdate 2019-05-02 12:00:00 ndt: 144 delta: 12 nt1=delta 12 nt 72 alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00', '2019-05-01 12:00:00', '2019-05-02 00:00:00', '2019-05-02 12:00:00'], dtype='datetime64[ns]', freq='12H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-05-02 12:00:00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 processing all past bull only if Past=True... True itdate, istime 2019-04-26 12:00:00 20190426.12 meteo-processing past forecast already completed itdate, istime 2019-04-27 00:00:00 20190427.00 meteo-processing past forecast already completed itdate, istime 2019-04-27 12:00:00 20190427.12 meteo-processing past forecast already completed itdate, istime 2019-04-28 00:00:00 20190428.00 meteo-processing past forecast already completed itdate, istime 2019-04-28 12:00:00 20190428.12 meteo-processing past forecast already completed itdate, istime 2019-04-29 00:00:00 20190429.00 meteo-processing past forecast already completed itdate, istime 2019-04-29 12:00:00 20190429.12 meteo-processing past forecast already completed itdate, istime 2019-04-30 00:00:00 20190430.00 meteo-processing past forecast already completed itdate, istime 2019-04-30 12:00:00 20190430.12 meteo-processing past forecast already completed itdate, istime 2019-05-01 00:00:00 20190501.00 meteo-processing past forecast already completed itdate, istime 2019-05-01 12:00:00 20190501.12 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-05-02 00:00:00 20190502.00 forcing ECMWF verifying that input file is present start reading nc... wind ntNC: 73 ntmax 73 use all data in nc file ...create velAll 73 382 439 ...start calculating velAll ...end calculating velAll 73 382 439 nt,nx,ny, ntmax 73 382 439 73 [71.790000915527344, 0.071, 0, 29.869998931884766, 0, -0.071] *********** 12 1 12 varMAX.shape (382, 439) lonmin 71.7900009155 latmin 3.0 lonmax 102.690002441 latmax 29.8699989319 float64 latitude(lat) units: degrees_north point_spacing: even unlimited dimensions: current shape = (382,) filling off float64 longitude(lon) units: degrees_east point_spacing: even unlimited dimensions: current shape = (439,) filling off 71.7900009155 102.690002441 3.0 29.8699989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/20190502.12_Final_completed_wind.txt FINAL remove maxtif alldate: DatetimeIndex(['2019-04-26 12:00:00', '2019-04-27 00:00:00', '2019-04-27 12:00:00', '2019-04-28 00:00:00', '2019-04-28 12:00:00', '2019-04-29 00:00:00', '2019-04-29 12:00:00', '2019-04-30 00:00:00', '2019-04-30 12:00:00', '2019-05-01 00:00:00', '2019-05-01 12:00:00', '2019-05-02 00:00:00', '2019-05-02 12:00:00'], dtype='datetime64[ns]', freq='12H') 13 date: 2019-04-27 00:00:00 python /mnt/output/SSCS/scripts_dev/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190426.12/20190426.12_wind_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.00/20190427.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190427.12/20190427.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.00/20190428.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190428.12/20190428.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.00/20190429.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190429.12/20190429.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.00/20190430.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190430.12/20190430.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.00/20190501.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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_ECMWF/tif/final/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif --calc="maximum(A,B)" max file created /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif lonminH 71.8255009155 latminH 2.78349893188 lonmaxH 102.923500916 latmaxH 29.8344989319 [[ 29.83449893 29.83449893 29.83449893 ..., 29.83449893 29.83449893 29.83449893] [ 29.76349893 29.76349893 29.76349893 ..., 29.76349893 29.76349893 29.76349893] [ 29.69249893 29.69249893 29.69249893 ..., 29.69249893 29.69249893 29.69249893] ..., [ 2.92549893 2.92549893 2.92549893 ..., 2.92549893 2.92549893 2.92549893] [ 2.85449893 2.85449893 2.85449893 ..., 2.85449893 2.85449893 2.85449893] [ 2.78349893 2.78349893 2.78349893 ..., 2.78349893 2.78349893 2.78349893]] [[ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] ..., [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092] [ 71.82550092 71.89650092 71.96750092 ..., 102.78150092 102.85250092 102.92350092]] 71.8255009155 102.923500916 2.78349893188 29.8344989319 lon 439 lat 382 savemap /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12//wind10m_res_t0.tif. 0.Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12//wind10m_res_t0.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00//wind10m_res_t0.tif. 0......10...1010......20...2020......30...3030......40...4040......50...5050......60...6060......70...7070......80...8080......90...9090........100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.12//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.00//wind10m_popfile_t0_clipped.tif. 0.....Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.12//wind10m_popfile_t0_clipped.tif. 010...10......2010....20...30....20...4030.......5030.40......4050...50........60.60.60.....70....70.70..80........809080.........9090......100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.12//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.00//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.12//wind10m_countryfile_t0_clipped.tif. 0.........101010.........202020.........303030.........404040.........505050.........606060.........707070.........808080........90..9090........100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/20190502.12/wind_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12//wind10m_res_all.tif. 0Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00//wind10m_res_all.tif. 0.........101010.........202020.........303030.........404040.........505050.........606060.........707070.........808080.........909090.........100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.12//wind10m_popfile_all_clipped.tif. 0.Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.00//wind10m_popfile_all_clipped.tif. 0....10Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.12//wind10m_popfile_all_clipped.tif. 0...10....20...10....2030........4020.30......50..4030......5040...50.......60....6060...70.......707080.........908080.........9090......100 - done. 100 - done. 100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.00//wind10m_countryfile_all_clipped.tif. 0...Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190502.12//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 3740P x 3255L. 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_ECMWF/class/20190501.12//wind10m_countryfile_all_clipped.tif. 010.......20...1010......30....2020...40......3030...50.......404060.........505070.........806060.........9070.70........8080......9090......100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190501.12/20190501.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190501.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/20190501.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.12/20190502.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/20190502.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/20190502.00/20190502.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/20190502.00/wind_popDensValues_all.xml >> 7. remove files done Creating output file that is 3740P x 3255L. Processing input file /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/class/final//wind10m_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3740P x 3255L. 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_ECMWF/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_ECMWF/class/20190501.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190501.12/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190502.00/wind_popDensValues_all.xml copy: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/20190502.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/delft3d/20190502.12/wind_popDensValues_all.xml >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final/20190502.12_final_completed_wind.txt input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/tif/final/wind_final.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/class/final//wind10m_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000561/2_ECMWF/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 0.00833333333329 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_ECMWF/class/final/wind_popDensValues_final.xml >> 7. remove files done ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-05-03 07:37:26.554064 UTC Case completed at: 2019-05-03 07:40:42.720002 UTC **********E N D O F J O B***********************