******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-06-07 08:04:16.244854 UTC inp1= 20190309.06 ncores= 5 var= rain lw= y submitting calc 2019-03-09 06:00:00 2019-03-16 06:00:00 delft3d 25.8 46.17 -33.9 -3.0 4.0 GFS 72 15 True GDACS/1000552/2_GFS 6 1 False False 5 y 20190309.06 rain False *************---------------------****************** ndt: 29 it: 0 ndt: 29 idate: 2019-03-09 06:00:00 running case from 2019-03-09 06:00:00 for 72 h start= 1 var rain **** gometeo: 72 listWindows rundate:20190309.06 RUNNING 2019-03-09 06:00:00 for 72 hours prevCalcDate 2019-03-09 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 29 idate: 2019-03-09 12:00:00 running case from 2019-03-09 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190309.12 RUNNING 2019-03-09 12:00:00 for 72 hours prevCalcDate 2019-03-09 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 29 idate: 2019-03-09 18:00:00 running case from 2019-03-09 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190309.18 RUNNING 2019-03-09 18:00:00 for 72 hours prevCalcDate 2019-03-09 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 29 idate: 2019-03-10 00:00:00 running case from 2019-03-10 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190310.00 RUNNING 2019-03-10 00:00:00 for 72 hours prevCalcDate 2019-03-09 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 29 idate: 2019-03-10 06:00:00 running case from 2019-03-10 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190310.06 RUNNING 2019-03-10 06:00:00 for 72 hours prevCalcDate 2019-03-10 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 29 idate: 2019-03-10 12:00:00 running case from 2019-03-10 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190310.12 RUNNING 2019-03-10 12:00:00 for 72 hours prevCalcDate 2019-03-10 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 29 idate: 2019-03-10 18:00:00 running case from 2019-03-10 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190310.18 RUNNING 2019-03-10 18:00:00 for 72 hours prevCalcDate 2019-03-10 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 29 idate: 2019-03-11 00:00:00 running case from 2019-03-11 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190311.00 RUNNING 2019-03-11 00:00:00 for 72 hours prevCalcDate 2019-03-10 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 29 idate: 2019-03-11 06:00:00 running case from 2019-03-11 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190311.06 RUNNING 2019-03-11 06:00:00 for 72 hours prevCalcDate 2019-03-11 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 29 idate: 2019-03-11 12:00:00 running case from 2019-03-11 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190311.12 RUNNING 2019-03-11 12:00:00 for 72 hours prevCalcDate 2019-03-11 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 10 ndt: 29 idate: 2019-03-11 18:00:00 running case from 2019-03-11 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190311.18 RUNNING 2019-03-11 18:00:00 for 72 hours prevCalcDate 2019-03-11 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 11 ndt: 29 idate: 2019-03-12 00:00:00 running case from 2019-03-12 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190312.00 RUNNING 2019-03-12 00:00:00 for 72 hours prevCalcDate 2019-03-11 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 12 ndt: 29 idate: 2019-03-12 06:00:00 running case from 2019-03-12 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190312.06 RUNNING 2019-03-12 06:00:00 for 72 hours prevCalcDate 2019-03-12 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 13 ndt: 29 idate: 2019-03-12 12:00:00 running case from 2019-03-12 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190312.12 RUNNING 2019-03-12 12:00:00 for 72 hours prevCalcDate 2019-03-12 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 14 ndt: 29 idate: 2019-03-12 18:00:00 running case from 2019-03-12 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190312.18 RUNNING 2019-03-12 18:00:00 for 72 hours prevCalcDate 2019-03-12 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 15 ndt: 29 idate: 2019-03-13 00:00:00 running case from 2019-03-13 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190313.00 RUNNING 2019-03-13 00:00:00 for 72 hours prevCalcDate 2019-03-12 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 16 ndt: 29 idate: 2019-03-13 06:00:00 running case from 2019-03-13 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190313.06 RUNNING 2019-03-13 06:00:00 for 72 hours prevCalcDate 2019-03-13 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 17 ndt: 29 idate: 2019-03-13 12:00:00 running case from 2019-03-13 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190313.12 RUNNING 2019-03-13 12:00:00 for 72 hours prevCalcDate 2019-03-13 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 18 ndt: 29 idate: 2019-03-13 18:00:00 running case from 2019-03-13 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190313.18 RUNNING 2019-03-13 18:00:00 for 72 hours prevCalcDate 2019-03-13 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 19 ndt: 29 idate: 2019-03-14 00:00:00 running case from 2019-03-14 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190314.00 RUNNING 2019-03-14 00:00:00 for 72 hours prevCalcDate 2019-03-13 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 20 ndt: 29 idate: 2019-03-14 06:00:00 running case from 2019-03-14 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190314.06 RUNNING 2019-03-14 06:00:00 for 72 hours prevCalcDate 2019-03-14 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 21 ndt: 29 idate: 2019-03-14 12:00:00 running case from 2019-03-14 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190314.12 RUNNING 2019-03-14 12:00:00 for 72 hours prevCalcDate 2019-03-14 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 22 ndt: 29 idate: 2019-03-14 18:00:00 running case from 2019-03-14 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190314.18 RUNNING 2019-03-14 18:00:00 for 72 hours prevCalcDate 2019-03-14 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 23 ndt: 29 idate: 2019-03-15 00:00:00 running case from 2019-03-15 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190315.00 RUNNING 2019-03-15 00:00:00 for 72 hours prevCalcDate 2019-03-14 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 24 ndt: 29 idate: 2019-03-15 06:00:00 running case from 2019-03-15 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190315.06 RUNNING 2019-03-15 06:00:00 for 72 hours prevCalcDate 2019-03-15 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 25 ndt: 29 idate: 2019-03-15 12:00:00 running case from 2019-03-15 12:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190315.12 RUNNING 2019-03-15 12:00:00 for 72 hours prevCalcDate 2019-03-15 06:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 26 ndt: 29 idate: 2019-03-15 18:00:00 running case from 2019-03-15 18:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190315.18 RUNNING 2019-03-15 18:00:00 for 72 hours prevCalcDate 2019-03-15 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 27 ndt: 29 idate: 2019-03-16 00:00:00 running case from 2019-03-16 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190316.00 RUNNING 2019-03-16 00:00:00 for 72 hours prevCalcDate 2019-03-15 18:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 28 ndt: 29 idate: 2019-03-16 06:00:00 running case from 2019-03-16 06:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190316.06 RUNNING 2019-03-16 06:00:00 for 72 hours prevCalcDate 2019-03-16 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created home dir /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-03-09 06:00:00 currdate 2019-03-16 06:00:00 ndt: 168 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-03-09 06:00:00', '2019-03-09 12:00:00', '2019-03-09 18:00:00', '2019-03-10 00:00:00', '2019-03-10 06:00:00', '2019-03-10 12:00:00', '2019-03-10 18:00:00', '2019-03-11 00:00:00', '2019-03-11 06:00:00', '2019-03-11 12:00:00', '2019-03-11 18:00:00', '2019-03-12 00:00:00', '2019-03-12 06:00:00', '2019-03-12 12:00:00', '2019-03-12 18:00:00', '2019-03-13 00:00:00', '2019-03-13 06:00:00', '2019-03-13 12:00:00', '2019-03-13 18:00:00', '2019-03-14 00:00:00', '2019-03-14 06:00:00', '2019-03-14 12:00:00', '2019-03-14 18:00:00', '2019-03-15 00:00:00', '2019-03-15 06:00:00', '2019-03-15 12:00:00', '2019-03-15 18:00:00', '2019-03-16 00:00:00', '2019-03-16 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-03-16 06:00:00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 processing all past bull only if Past=True... True itdate, istime 2019-03-09 06:00:00 20190309.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-09 12:00:00 20190309.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-09 18:00:00 20190309.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-10 00:00:00 20190310.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-10 06:00:00 20190310.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-10 12:00:00 20190310.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-10 18:00:00 20190310.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-11 00:00:00 20190311.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-11 06:00:00 20190311.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-11 12:00:00 20190311.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-11 18:00:00 20190311.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-12 00:00:00 20190312.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-12 06:00:00 20190312.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-12 12:00:00 20190312.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-12 18:00:00 20190312.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-13 00:00:00 20190313.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-13 06:00:00 20190313.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-13 12:00:00 20190313.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-13 18:00:00 20190313.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-14 00:00:00 20190314.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-14 06:00:00 20190314.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-14 12:00:00 20190314.12 forcing GFS verifying that input file is present start reading nc... rain u0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done 0 .. 20 .. 40 .. 60 .. 80 .. 100 - Done se all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-14 18:00:00 20190314.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-15 00:00:00 20190315.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-15 06:00:00 20190315.06 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-15 12:00:00 20190315.12 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-15 18:00:00 20190315.18 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 itdate, istime 2019-03-16 00:00:00 20190316.00 forcing GFS verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 124 81 73 nt,nx,ny, ntmax 72 124 81 73 [26.0, 0.25, 0, -3.0, 0, -0.25] varMAX.shape (124, 81) 26.0 46.0 -33.75 -3.0 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain.jpg dtk,nt,ntmax 6 72 73 67 k1, k2, ht 0 6 0 k1, k2, ht 6 12 6 k1, k2, ht 12 18 12 k1, k2, ht 18 24 18 k1, k2, ht 24 30 24 k1, k2, ht 30 36 30 k1, k2, ht 36 42 36 k1, k2, ht 42 48 42 k1, k2, ht 48 54 48 k1, k2, ht 54 60 54 k1, k2, ht 60 66 60 k1, k2, ht 66 72 66 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/20190316.06_Final_completed_rain.txt FINAL alldate: DatetimeIndex(['2019-03-09 06:00:00', '2019-03-09 12:00:00', '2019-03-09 18:00:00', '2019-03-10 00:00:00', '2019-03-10 06:00:00', '2019-03-10 12:00:00', '2019-03-10 18:00:00', '2019-03-11 00:00:00', '2019-03-11 06:00:00', '2019-03-11 12:00:00', '2019-03-11 18:00:00', '2019-03-12 00:00:00', '2019-03-12 06:00:00', '2019-03-12 12:00:00', '2019-03-12 18:00:00', '2019-03-13 00:00:00', '2019-03-13 06:00:00', '2019-03-13 12:00:00', '2019-03-13 18:00:00', '2019-03-14 00:00:00', '2019-03-14 06:00:00', '2019-03-14 12:00:00', '2019-03-14 18:00:00', '2019-03-15 00:00:00', '2019-03-15 06:00:00', '2019-03-15 12:00:00', '2019-03-15 18:00:00', '2019-03-16 00:00:00', '2019-03-16 06:00:00'], dtype='datetime64[ns]', freq='6H') 29 date: 2019-03-09 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-09 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-10 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-10 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-10 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-10 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-11 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-11 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-11 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-11 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-12 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-12 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-12 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-12 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-13 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-13 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-13 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-13 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-14 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-14 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-14 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-14 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-15 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-15 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-15 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-15 18:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-16 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" date: 2019-03-16 06:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif --calc="A+B" max file created /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif lonminH 26.125 latminH -33.875 lonmaxH 46.125 latmaxH -3.125 [[ -3.125 -3.125 -3.125 ..., -3.125 -3.125 -3.125] [ -3.375 -3.375 -3.375 ..., -3.375 -3.375 -3.375] [ -3.625 -3.625 -3.625 ..., -3.625 -3.625 -3.625] ..., [-33.375 -33.375 -33.375 ..., -33.375 -33.375 -33.375] [-33.625 -33.625 -33.625 ..., -33.625 -33.625 -33.625] [-33.875 -33.875 -33.875 ..., -33.875 -33.875 -33.875]] [[ 26.125 26.375 26.625 ..., 45.625 45.875 46.125] [ 26.125 26.375 26.625 ..., 45.625 45.875 46.125] [ 26.125 26.375 26.625 ..., 45.625 45.875 46.125] ..., [ 26.125 26.375 26.625 ..., 45.625 45.875 46.125] [ 26.125 26.375 26.625 ..., 45.625 45.875 46.125] [ 26.125 26.375 26.625 ..., 45.625 45.875 46.125]] 26.125 46.125 -33.875 -3.125 lon 81 lat 124 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12//rain_res_t0.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06//rain_res_t0.tif. 0.........Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12//rain_res_t0.tif. 010.10......10.10.10.......20..10..20......202020......30......3020......30..3030..40......40.....3040......504040....50........5040.....60..5050..60.......60....50.70......706060......70......80.60....80...7070.80......90......7090......908080............80...9090......90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.12//rain_popfile_t0_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.00//rain_popfile_t0_clipped.tif. 0......Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.06//rain_popfile_t0_clipped.tif. 0......101010.........10..1010......20.2020.........20..2020......30.3030.........30..3030......40.4040.........40..4040......50.5050.....505050.................6060.606060..60...............7070.707070..70.............8080...80..8080.80............9090..90...9090.90...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.18//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.12//rain_countryfile_t0_clipped.tif. 0..................1010.10101010............20......2020202020............30......3030303030............40......40404040.40..........50.......50505050.50..........60.......60606060.60..........70.......70707070.70..........80.......808080.8080.........90........909090.9090................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 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/1000552/2_GFS/class/20190310.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18//rain_res_t0.tif. 0...Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06//rain_res_t0.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18//rain_res_t0.tif. 0..10...10.Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00//rain_res_t0.tif. 0.......10....10.10.20....20.10.......20....20.20.30....30.20.......30....30.30.40....40.30.......40....40.40.50....50.40.......50....50.50.60....60.50.......60....60.60.70....70.60.......70....70.70.80....80.70.......80....80..8090...90..80.......90....90..90....90........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.18//rain_popfile_t0_clipped.tif. 0........Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.18//rain_popfile_t0_clipped.tif. 0......10101010............1010......20202020............2020......30303030............3030......40404040............4040......50505050....5050.......6060...............60..6060.607070............70......7070708080............80......8080909080............90......909090...........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.18//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.12//rain_countryfile_t0_clipped.tif. 0..Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.00//rain_countryfile_t0_clipped.tif. 0....Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.18//rain_countryfile_t0_clipped.tif. 0.........1010..1010..10.......10......2020..20...20..20.......20...3030.30....30.30............4040.40...3040.40.............50..505040.5050...........60....50.6060..........60.7060..60.7070............80....70.80.80......7070..90......90.80.90.......80.......80..90..90......90....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18//rain_res_t0.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00//rain_res_t0.tif. 0...Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12//rain_res_t0.tif. 0........1010......10.1010...10........2020......20.2020...20........3030......30.3030...30.......40.40......40.40.40..40.......50.50......50.50.50..50.......60.60......60.60.60..60.......70.70......70.70.70...70......80.80......8080..80....80....90..90......9090..90....90...........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.06//rain_popfile_t0_clipped.tif. 0............Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.12//rain_popfile_t0_clipped.tif. 010101010..................202020201010..................303030302020..................404030404030..................505040505040......5050...........6060.60....60.............7060607070......70............808080.7070...80..............909090.80.80..90...............9090......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.18//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.06//rain_countryfile_t0_clipped.tif. 0..................101010101010..................2020202020.20................3030.303030..30...............4040.404040..40...............505050.5050...50..............606060.6060...60..............707070.7070...70..............808080.8080...80..............909090.9090...90...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00//rain_res_t0.tif. 0...Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06//rain_res_t0.tif. 0....Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18//rain_res_t0.tif. 0.10...10Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00//rain_res_t0.tif. 0.......10.10....10...20...2010.......20.20....20...30...3020.......30.30....30...40...4030.......40.40....40...50...5040.......50.50....50...60...6050.......60.60....60...70...7060.......70.70....70...80...8070.......80.80....80...90...9080.......90.90....90......90.......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.00//rain_popfile_t0_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.18//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.00//rain_countryfile_t0_clipped.tif. 0.......Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.18//rain_countryfile_t0_clipped.tif. 0......101010........10...1010......20.2020...........202020......303030...........3030......30404040............4040......40505050............5050......60506060............6060......70607070............7070......80807080............8080......90909080............9090......90.......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 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/1000552/2_GFS/class/20190314.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12//rain_res_t0.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06//rain_res_t0.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00//rain_res_t0.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06//rain_res_t0.tif. 0.Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18//rain_res_t0.tif. 0.....1010.......10..1010......2020.......20..2020......3030.......30..3030......4040.......40..4040......5050.......50..5050......6060.......60..6060......7070.......70..7070......8080.......80..8080......9090.......90..9090...........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.18//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.06//rain_popfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.00//rain_popfile_t0_clipped.tif. 0...............1010101010...............2020202020...............3030303030...............4040404040...............5050505050...............6060606060..............70.7070.7070...........80...80.808080...........90..90..9090.90.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.00//rain_countryfile_t0_clipped.tif. 0..Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.06//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.18//rain_countryfile_t0_clipped.tif. 0....10............1010102010..............202020.30....20..........30303040.....30..........40404050.....40..........50505060.....50..........60606070.....60..........70707080.....70..........80808090.....80..........909090....90.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12/rain_popDensValues_t0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 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/1000552/2_GFS/class/20190315.12/rain_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06//rain_res_all.tif. 0.Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00//rain_res_all.tif. 0....Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12//rain_res_all.tif. 0.......10....10.1010......1010.......20....20.2020......2020.......30....30.3030......3030.......40....40.4040......4040.......50....50.5050......5050.......60....60.6060......6060.......70....70.7070......7070.......80....80.8080......8080.......90....90.9090......9090.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.06//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.06//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.18//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.00//rain_popfile_all_clipped.tif. 0..................101010101010..................2020202020.20................30.30303030..30..............40.40.4040.40..40.............50.5050.505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190309.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.06//rain_countryfile_all_clipped.tif. 0..................101010101010..................202020202020..................3030303030.30.................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06//rain_res_all.tif. 0.Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12//rain_res_all.tif. 0..........Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00//rain_res_all.tif. 0..10...1010.1010............10..20...2020.2020............20..30...3030.3030............30..40...4040.4040............40..50...5050.5050............50..60...6060.6060............60..70...7070.7070............70..80...8080.8080............80..90...9090.9090............90.......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.00//rain_popfile_all_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.18//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.06//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.18//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.00//rain_popfile_all_clipped.tif. 0............10......10101010.10...........20......2020202020............30......3030303030............40......40404040.40..........50......5050505050...............60...6060.606060..............70..70.70.7070..70............80.8080...80..8080...........90..9090...90...9090..............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190311.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190310.18//rain_countryfile_all_clipped.tif. 0..................101010101010.............20......2020202020............30......3030303030............40......4040404040............50......5050505050............60......6060606060............70......7070707070............80......8080808080............90......9090909090.................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06//rain_res_all.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00//rain_res_all.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12//rain_res_all.tif. 0............101010.10....10.10............202020.20....20.20............303030.30....30.30............404040.40....40.40............505050.50....50.50............606060.60....60.60............707070.70....70.70............808080.80....80.80............909090.90....90.90..............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.12//rain_popfile_all_clipped.tif. 0..Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.06//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.06//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.18//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.00//rain_popfile_all_clipped.tif. 0......10.............101010101020..................202020202030..................303030303040..................404040404050...............5050505050........60............6060606060......70............707070.7070..80..............8080..8080..8090..............9090..9090..90.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.06//rain_countryfile_all_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190312.18//rain_countryfile_all_clipped.tif. 0................10.10101010.10................20.20202020.20................30.30303030.30................40.40404040.40...............50..505050.5050..............60...6060.606060..............70...7070.707070..............80...8080.808080..............90...9090.909090.................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00//rain_res_all.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12//rain_res_all.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06//rain_res_all.tif. 0.....10Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00//rain_res_all.tif. 010Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18//rain_res_all.tif. 0.......10...10........201020.10......20...20........203030.20......30...30........304040.30......40...40........405050.40......50...50......50..6060...50....60...60......60..7070...60....70...70......70..8080...70....80...80......80..9090...80....90...90......90.....90......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.18//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.18//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.06//rain_popfile_all_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050...............6060.6060......60..60........7070.70.70.........7070.......808080..80.........8080.......909090..90.........90...90........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.12//rain_countryfile_all_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190313.18//rain_countryfile_all_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.00//rain_countryfile_all_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190314.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.00//rain_countryfile_all_clipped.tif. 0...10............10...1010.201010...............20..202030.2020...............30.304030..30....30..........40..404050..40....40..........50..505060..50....50..........60..606070..60....60..........70..707080..70....70..........80..808090..80....80..........90..9090..90...90...........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18//rain_res_all.tif. 0Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00//rain_res_all.tif. 0..Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06//rain_res_all.tif. 0...........10.1010...10.10..........2020..20..2020...........3030..30..3030...........4040..40..4040...........5050..50..5050...........60.6060..60..60..........70.70.70.70.70...........80.8080..80..80..........90.9090..90..90............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.18//rain_popfile_all_clipped.tif. 0.Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.12//rain_popfile_all_clipped.tif. 0..Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.06//rain_popfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.06//rain_popfile_all_clipped.tif. 0.....10.....10.....1010.10.20........20.....2020.20...30......30.....3030.30...40......40.....4040.40...50.....50...505050......6060...............6060607070...............8070807070...............90908080.80..............909090.........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190316.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.18//rain_countryfile_all_clipped.tif. 0Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/20190315.06//rain_countryfile_all_clipped.tif. 0...............1010101010...............2020202020...............3030303030...............4040404040...............5050505050...............6060606060...............7070707070...............8080808080...............9090909090...............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 2430P x 3720L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 2430P x 3720L. 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/1000552/2_GFS/class/final//rain_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. t0 completed copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190309.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.06/20190309.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190309.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190309.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.12/20190309.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190309.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190309.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190309.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190309.18/20190309.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190309.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.00/20190310.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.06/20190310.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.12/20190310.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190310.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190310.18/20190310.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190310.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.00/20190311.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.06/20190311.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.12/20190311.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190311.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190311.18/20190311.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190311.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.00/20190312.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.06/20190312.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.12/20190312.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190312.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190312.18/20190312.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190312.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.00/20190313.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.06/20190313.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.12/20190313.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190313.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190313.18/20190313.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190313.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.00/20190314.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.06/20190314.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.12/20190314.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190314.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190314.18/20190314.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190314.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.00/20190315.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.06/20190315.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.12/20190315.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190315.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190315.18/20190315.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190315.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190316.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.00/20190316.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190316.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/20190316.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190316.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/20190316.06/20190316.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/20190316.06/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final/20190316.06_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (GFS) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final/rain_popDensValues_final.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 cellsize 0.00833333333333 >> 5. count the popolation in each cell and assign to the class and write to output >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_GFS/delft3d/final/rain.jpg ==============================================================