******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-06-07 08:13:37.594515 UTC inp1= 20190308.12 ncores= 10 var= wind 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 10 20190308.12 wind 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 wind **** gometeo: 72 listWindows rundate:20190308.12 RUNNING 2019-03-08 12:00:00 for 72 hours prevCalcDate 2019-03-08 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.622453 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190308.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= False forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190309.00 RUNNING 2019-03-09 00:00:00 for 72 hours prevCalcDate 2019-03-08 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.639922 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190309.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190309.12 RUNNING 2019-03-09 12:00:00 for 72 hours prevCalcDate 2019-03-09 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.657913 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190309.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190310.00 RUNNING 2019-03-10 00:00:00 for 72 hours prevCalcDate 2019-03-09 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.675383 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190310.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190310.12 RUNNING 2019-03-10 12:00:00 for 72 hours prevCalcDate 2019-03-10 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.693144 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190310.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190311.00 RUNNING 2019-03-11 00:00:00 for 72 hours prevCalcDate 2019-03-10 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.710566 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190311.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190311.12 RUNNING 2019-03-11 12:00:00 for 72 hours prevCalcDate 2019-03-11 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.730595 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190311.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190312.00 RUNNING 2019-03-12 00:00:00 for 72 hours prevCalcDate 2019-03-11 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.749003 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190312.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190312.12 RUNNING 2019-03-12 12:00:00 for 72 hours prevCalcDate 2019-03-12 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.767106 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190312.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190313.00 RUNNING 2019-03-13 00:00:00 for 72 hours prevCalcDate 2019-03-12 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.785047 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190313.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190313.12 RUNNING 2019-03-13 12:00:00 for 72 hours prevCalcDate 2019-03-13 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.802912 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190313.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190314.00 RUNNING 2019-03-14 00:00:00 for 72 hours prevCalcDate 2019-03-13 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.820619 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190314.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190314.12 RUNNING 2019-03-14 12:00:00 for 72 hours prevCalcDate 2019-03-14 00:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.838488 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190314.12.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False 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 wind **** gometeo: 72 listWindows rundate:20190315.00 RUNNING 2019-03-15 00:00:00 for 72 hours prevCalcDate 2019-03-14 12:00:00 ============================================ process meteo ============================================ 1. process meteo, starting at 2019-06-07 08:13:37.856488 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 ..1.1 calling ECMWF_2_netcdf... ...file netcdf already existing : /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/netcdf/20190315.00.tropical_cyclone.nc ret= 0 removing submitted ret= 0 newcase= True forceFinal= False forceBulletin= False home dir /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/ ret 0 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 wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 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 wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-09 00:00:00 20190309.00 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-09 12:00:00 20190309.12 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-10 00:00:00 20190310.00 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-10 12:00:00 20190310.12 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-11 00:00:00 20190311.00 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-11 12:00:00 20190311.12 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-12 00:00:00 20190312.00 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-12 12:00:00 20190312.12 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-13 00:00:00 20190313.00 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-13 12:00:00 20190313.12 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-14 00:00:00 20190314.00 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 itdate, istime 2019-03-14 12:00:00 20190314.12 forcing ECMWF verifying that input file is present wind start reading nc... wind use all data in nc file ...create velAll ...start calculating velAll ...end calculating velAll nt,nx,ny, ntmax 73 439 289 73 [25.799999237060547, 0.071, 0, -3.0000019073486328, 0, -0.071] varMAX.shape (439, 289) 25.7999992371 46.1699981689 -33.9000015259 -3.00000190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind.jpg dtk,nt,ntmax 12 73 73 61 k1, k2, ht 0 12 0 k1, k2, ht 12 24 12 k1, k2, ht 24 36 24 k1, k2, ht 36 48 36 k1, k2, ht 48 60 48 k1, k2, ht 60 72 60 >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/20190315.00_Final_completed_wind.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_wind_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(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/wind_final.tif -B /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif --calc="maximum(A,B)" max file created /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif lonminH 25.8354992371 latminH -34.1335019073 lonmaxH 46.2834992371 latmaxH -3.03550190735 [[ -3.03550191 -3.03550191 -3.03550191 ..., -3.03550191 -3.03550191 -3.03550191] [ -3.10650191 -3.10650191 -3.10650191 ..., -3.10650191 -3.10650191 -3.10650191] [ -3.17750191 -3.17750191 -3.17750191 ..., -3.17750191 -3.17750191 -3.17750191] ..., [-33.99150191 -33.99150191 -33.99150191 ..., -33.99150191 -33.99150191 -33.99150191] [-34.06250191 -34.06250191 -34.06250191 ..., -34.06250191 -34.06250191 -34.06250191] [-34.13350191 -34.13350191 -34.13350191 ..., -34.13350191 -34.13350191 -34.13350191]] [[ 25.83549924 25.90649924 25.97749924 ..., 46.14149924 46.21249924 46.28349924] [ 25.83549924 25.90649924 25.97749924 ..., 46.14149924 46.21249924 46.28349924] [ 25.83549924 25.90649924 25.97749924 ..., 46.14149924 46.21249924 46.28349924] ..., [ 25.83549924 25.90649924 25.97749924 ..., 46.14149924 46.21249924 46.28349924] [ 25.83549924 25.90649924 25.97749924 ..., 46.14149924 46.21249924 46.28349924] [ 25.83549924 25.90649924 25.97749924 ..., 46.14149924 46.21249924 46.28349924]] 25.8354992371 46.2834992371 -34.1335019073 -3.03550190735 lon 289 lat 439 savemap /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//wind10m_res_t0.tif. 0.Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//wind10m_res_t0.tif. 0.....Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//wind10m_res_t0.tif. 0......Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//wind10m_res_t0.tif. 0....10...........1010....1010.10.....1010..10....1010......20..........2020.....2020.20.....2020..20....2020........30........3030.....3030.30.....3030..30....3030........40........4040...40..40.40......4040.40...40.40.........50.......5050...50..50.50......5050.50...50.50.........60.......6060...60..60.60......6060.60...6060...........70......7070...70..70.70......7070.70..70.70...........80......80.80..80..8080.......8080..80.80.80...........90......90.90.90...9090.......9090..90.90.90........................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0...Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 010.................................10101010101010102010.10..............................202020.2020.20202030...20..20..........................30303030.303030.3040....30...30........................4040404040.4040.4050.....40..40.....................505050505050.50.505050...60................................6060606060.7060606060......60.......................80...7070707070.70..707070.....70....................90.80..80..808080.80.80..8080........80.................9090.90...909090..90.9090..........90..................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0.........................1010Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0....1010101010Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0.1010...................2020......10......20202020.20..2020.................103030......20......30303030..30.3030.................4040.......30.....404040402040..4040.................5050.............505050503050...5050...........40.....6060............60.6060606060..60.....40...........7070............707070707070..70......50..........8080............808080808080..80.50...............9090............909090909090.90...60........................60....70..70....80..80....90..90.....100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/wind_popDensValues_t0.xml >> 7. remove files done lim core Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//wind10m_res_t0.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind_t0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind_t0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind_t0.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//wind10m_res_t0.tif. 0.........101010.........202020.........303030........40.40.40.......50.50..50.....60.60....60....70.70....70....80.80....80....90.90....90......100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_t0_clipped.tif. 0.........101010.........202020.........303030.........404040.........505050.......6060.......60.70.70........708080.........809090.........90...100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0.Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_t0_clipped.tif. 0.......10.10.10.......2020...20......3030...30......4040..40.......50.50.50.......60.60.60.......70.70.70.......80.80.80.......90.90.90........100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_t0.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind_t0.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_t0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//wind10m_countryfile_t0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00/wind_popDensValues_t0.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_t0.xml >> 7. remove files done t0 completed Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//wind10m_res_all.tif. 0...Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//wind10m_res_all.tif. 0...Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//wind10m_res_all.tif. 0..Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//wind10m_res_all.tif. 0.......1010.10Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//wind10m_res_all.tif. 0....................10101010..10........2020.2010.......10.10.........20.202020..20.......30.30.30.20..................30.3030.30.30.......40.40.40.30.....20.20..........40.4040.40.40.......50.50.50..40.................5050.50.50...50.....6060..60..50....3030...........606060...60..60....70.70...70...60..............70.70.70..70..70...80..80...80...70..4040..........80..8080..80..80..90...90...90...80..............90..9090....9090..........905050................6060......7070......8080......9090......100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0..Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0..Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0.Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0..Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0......10.10...............10........1010.101010101010...........2020.............20........2020.202020202020...........3030.............30........3030.303030303030...........4040...........40...........4040404040404040...........5050.........50........5050505050505050......6060.................................6060606060606060607070.................................8080707070707070707070.................................90908080808080808080.80................................909090909090909090...........................100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0......Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0...Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 01010..10..Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0...........................201010.20101010.101010...........................2030302020...202020.20..2020.........................403030...303030....303030..............3040........50.4040..404040...40..4040.......................60.5050..5050.50..50.50.50....50.40.................70...60..606060.60.60.6060.....60.................80....70.707070..70.70.70....50.70................90...70..808080.8080.8080.............80................909090908090609090.......................90.......90...70.....80...90...100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done lim core Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//wind10m_res_all.tif. 0...10Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//wind10m_res_all.tif. 0Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//wind10m_res_all.tif. 0.........102010.........203020.........304030.........405040........6050...50....70....60.60...80......7070...90......8080.......9090......100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 0......10Creating output file that is 2462P x 3740L. 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//wind10m_popfile_all_clipped.tif. 010.........202010.........303020.........404030.........505040...50......6060.........707060........80.80..70......9090...80.......90...100 - done. 100 - done. 100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0.Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_all_clipped.tif. 0......10...1010......20..20.20.......30.30.30.......40.40.40.......50.50.50.......60.60.60.......70.70.70.......80.80.80.......90.90.90........100 - done. 100 - done. 100 - done. input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind.tif hurName: hdate: var: wind10m description: wind10m: _ (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//wind10m_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00//wind10m_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00/wind_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_all.xml >> 7. remove files done Creating output file that is 2462P x 3740L. Processing input file /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final//wind10m_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 2462P x 3740L. 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//wind10m_countryfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. t0 completed copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190308.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190308.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190308.12/20190308.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190308.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.00/20190309.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.00/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190309.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190309.12/20190309.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190309.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.00/20190310.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.00/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190310.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190310.12/20190310.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190310.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.00/20190311.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.00/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190311.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190311.12/20190311.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190311.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.00/20190312.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.00/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190312.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190312.12/20190312.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190312.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.00/20190313.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.00/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190313.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190313.12/20190313.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190313.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.00/20190314.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.00/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190314.12/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.12/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190314.12/20190314.12_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190314.12/wind.jpg copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/20190315.00/wind_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190315.00/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/20190315.00/20190315.00_wind.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/20190315.00/wind.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final/20190315.00_final_completed_wind.txt input var: wind10m Input File: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_final.tif hurName: hdate: var: wind10m description: wind10m: _ (ECMWF) OutDir: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final//wind10m_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final//wind10m_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final/wind_popDensValues_final.xml outDir created popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box >> 3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333331 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/wind_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/class/final/wind_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/final/wind_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/tif/final/wind_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000552/2_ECMWF/delft3d/final/wind.jpg ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-06-07 08:13:37.594515 UTC Case completed at: 2019-06-07 08:20:45.252880 UTC **********E N D O F J O B***********************