******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-06-07 08:18:35.821569 UTC inp1= 20190308.12 ncores= 5 var= rain submitting calc 2019-03-08 12:00:00 2019-03-15 00:00:00 delft3d 25.8 46.17 -33.9 -3.0 4.0 ECMWF 72 15 True GDACS/1000552/2_ECMWF 6 1 False False 5 20190308.12 rain False *************---------------------****************** ndt: 14 it: 0 ndt: 14 idate: 2019-03-08 12:00:00 running case from 2019-03-08 12:00:00 for 72 h start= 1 var rain **** gometeo: 72 listWindows rundate:20190308.12 RUNNING 2019-03-08 12:00:00 for 72 hours prevCalcDate 2019-03-08 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 1 ndt: 14 idate: 2019-03-09 00:00:00 running case from 2019-03-09 00:00:00 for 72 h start= 0 var rain **** gometeo: 72 listWindows rundate:20190309.00 RUNNING 2019-03-09 00:00:00 for 72 hours prevCalcDate 2019-03-08 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 2 ndt: 14 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 3 ndt: 14 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 4 ndt: 14 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 5 ndt: 14 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 6 ndt: 14 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 7 ndt: 14 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 8 ndt: 14 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 9 ndt: 14 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 10 ndt: 14 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 11 ndt: 14 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 12:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 12 ndt: 14 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 00:00:00 Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created it: 13 ndt: 14 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 12:00:00 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done Nothing to do, case already completed ret= -3 newcase= False forceFinal= False forceBulletin= False netcdf already created home dir /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/ ret -3 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-03-08 12:00:00 currdate 2019-03-15 00:00:00 ndt: 156 delta: 12 nt1=delta 12 nt 72 alldate: DatetimeIndex(['2019-03-08 12:00:00', '2019-03-09 00:00:00', '2019-03-09 12:00:00', '2019-03-10 00:00:00', '2019-03-10 12:00:00', '2019-03-11 00:00:00', '2019-03-11 12:00:00', '2019-03-12 00:00:00', '2019-03-12 12:00:00', '2019-03-13 00:00:00', '2019-03-13 12:00:00', '2019-03-14 00:00:00', '2019-03-14 12:00:00', '2019-03-15 00:00:00'], dtype='datetime64[ns]', freq='12H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-03-15 00:00:00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 processing all past bull only if Past=True... True itdate, istime 2019-03-08 12:00:00 20190308.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-09 00:00:00 20190309.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-09 12:00:00 20190309.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-10 00:00:00 20190310.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-10 12:00:00 20190310.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-11 00:00:00 20190311.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-11 12:00:00 20190311.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-12 00:00:00 20190312.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-12 12:00:00 20190312.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-13 00:00:00 20190313.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-13 12:00:00 20190313.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-14 00:00:00 20190314.00 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-14 12:00:00 20190314.12 forcing ECMWF verifying that input file is present start reading nc... rain use all data in nc file nt,nx,ny, ntmax 72 439 290 73 nt,nx,ny, ntmax 72 439 290 73 [25.804709904278116, 0.07, 0, -3.0579964267022164, 0, -0.07] varMAX.shape (439, 290) 25.8047099043 46.1250400469 -33.8488569123 -3.0579964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain.jpg dtk,nt,ntmax 12 72 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/20190315.00_Final_completed_rain.txt FINAL alldate: DatetimeIndex(['2019-03-08 12:00:00', '2019-03-09 00:00:00', '2019-03-09 12:00:00', '2019-03-10 00:00:00', '2019-03-10 12:00:00', '2019-03-11 00:00:00', '2019-03-11 12:00:00', '2019-03-12 00:00:00', '2019-03-12 12:00:00', '2019-03-13 00:00:00', '2019-03-13 12:00:00', '2019-03-14 00:00:00', '2019-03-14 12:00:00', '2019-03-15 00:00:00'], dtype='datetime64[ns]', freq='12H') 14 date: 2019-03-09 00:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif --calc="A+B" date: 2019-03-09 12:00:00 python /mnt/output/SSCS/scripts_NEW/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif --calc="A+B" max file created /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif lonminH 25.8397099043 latminH -33.7529964267 lonmaxH 46.0697099043 latmaxH -3.0929964267 [[ -3.09299643 -3.09299643 -3.09299643 ..., -3.09299643 -3.09299643 -3.09299643] [ -3.16299643 -3.16299643 -3.16299643 ..., -3.16299643 -3.16299643 -3.16299643] [ -3.23299643 -3.23299643 -3.23299643 ..., -3.23299643 -3.23299643 -3.23299643] ..., [-33.61299643 -33.61299643 -33.61299643 ..., -33.61299643 -33.61299643 -33.61299643] [-33.68299643 -33.68299643 -33.68299643 ..., -33.68299643 -33.68299643 -33.68299643] [-33.75299643 -33.75299643 -33.75299643 ..., -33.75299643 -33.75299643 -33.75299643]] [[ 25.8397099 25.9097099 25.9797099 ..., 45.9297099 45.9997099 46.0697099] [ 25.8397099 25.9097099 25.9797099 ..., 45.9297099 45.9997099 46.0697099] [ 25.8397099 25.9097099 25.9797099 ..., 45.9297099 45.9997099 46.0697099] ..., [ 25.8397099 25.9097099 25.9797099 ..., 45.9297099 45.9997099 46.0697099] [ 25.8397099 25.9097099 25.9797099 ..., 45.9297099 45.9997099 46.0697099] [ 25.8397099 25.9097099 25.9797099 ..., 45.9297099 45.9997099 46.0697099]] 25.8397099043 46.0697099043 -33.7529964267 -3.0929964267 lon 290 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//rain_res_t0.tif. 0.Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//rain_res_t0.tif. 0.....Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//rain_res_t0.tif. 0.......10....10.101010......10.......20....20.202020......20.......30....30.303030......30.......40....40.404040......40.......50....50.505050......50.......60....60.606060......60.......70....70.707070......70.......80....80.808080......80.......90....90.909090......90............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.12//rain_popfile_t0_clipped.tif. 0...Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190308.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.12//rain_popfile_t0_clipped.tif. 010..................102010101010..................202030202020..................303030403030..................404040504040...............5050505050...........60.......60.6060.6060.........70.......70.7070.70..70.......80.......8080.80.80..80......90........9090..9090...90.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190308.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.00//rain_countryfile_t0_clipped.tif. 0.................10.10101010.10...............20.20.2020.20.20..............30.30.3030.30.30..............40.40.4040.40.40..............50.50.5050.50.50..............60.60.60.6060.60............70..70...7070.7070............80.80....80.808080............9090......90909090................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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 >> 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_ECMWF/class/20190311.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190310.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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 >> 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_ECMWF/class/20190309.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190310.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/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_ECMWF/class/20190309.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/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_ECMWF/class/20190308.12/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//rain_res_t0.tif. 0.Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//rain_res_t0.tif. 0.............10....10.10101010.............20....20.20202020.............30....30.30303030.............40....40.40404040.............50...50..505050.50............60...60..606060.60............70...70..707070.70............80...80..808080.80............90...90..909090.90................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.00//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.12//rain_popfile_t0_clipped.tif. 0..................101010101010................20..202020.2020...............30..303030.3030...............40..4040.404040.............50...50.50505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.12//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.12//rain_countryfile_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. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190312.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190313.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190313.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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 >> 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_ECMWF/class/20190312.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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 >> 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_ECMWF/class/20190314.00/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190311.12/rain_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//rain_res_t0.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//rain_res_t0.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.12//rain_popfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190315.00//rain_popfile_t0_clipped.tif. 0......1010......2020......3030......4040.....50.50......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190315.00//rain_countryfile_t0_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.12//rain_countryfile_t0_clipped.tif. 0......1010......2020......30.30....40..40....50..50....60..60....70..70....80..80....90..90.....100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190314.12/rain_popDensValues_t0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain_t0.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//rain_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//rain_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190315.00/rain_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//rain_res_all.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................9090909090.90.................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190308.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.00//rain_popfile_all_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.00//rain_countryfile_all_clipped.tif. 0..Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190308.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190310.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.00//rain_countryfile_all_clipped.tif. 0.Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190309.12//rain_countryfile_all_clipped.tif. 010..................201010101010.................30.20202020.20................403030.3030...30..............504040.4040...40..............506050.5050...50..............606070.6060...60..............707080.7070...70..............808090.8080...80..............9090.9090..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_ECMWF/tif/20190311.00/20190311.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190311.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190310.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190310.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190309.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/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_ECMWF/class/20190309.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/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_ECMWF/class/20190308.12/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//rain_res_all.tif. 0.........Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//rain_res_all.tif. 0.......1010101010............10......2020202020............20......3030303030............30......4040404040............40......5050505050............50......6060606060............60......7070707070............70......8080808080............80......9090909090............90........100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.12//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.12//rain_popfile_all_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050.......60.............6060.606060..70..............70.70.7070.70.80.............8080....80.809080............90..90...90.9090.............100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190311.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190312.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190313.12//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.00//rain_countryfile_all_clipped.tif. 0..................101010101010..................202020202020..................303030303030..................404040404040..................505050505050..................606060606060..................707070707070..................808080808080..................909090909090..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190311.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190312.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190312.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190313.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190313.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190314.00/rain_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//rain_res_all.tif. 0Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//rain_res_all.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190315.00//rain_popfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.12//rain_popfile_all_clipped.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190315.00//rain_countryfile_all_clipped.tif. 0Creating output file that is 2436P x 3688L. 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_ECMWF/class/20190314.12//rain_countryfile_all_clipped.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190314.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/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_ECMWF/class/20190315.00/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 2436P x 3688L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 2436P x 3688L. 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_ECMWF/class/final//rain_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. t0 completed copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190308.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190308.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190315.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190315.00/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final/20190315.00_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final/rain_popDensValues_final.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333333 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_ECMWF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/final/rain.jpg ==============================================================