*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 12:50:27.621683  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-25 12:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 4
it:  0
ndt: 4
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 4
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 4
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 4
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-25 12:00:00
ndt:  36 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-25 12:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:10:37.875289  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Calculation already submitted (file  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/netcdf/submittedrain.txt ) **exiting**
ret= -1 newcase= False  forceFinal= False  forceBulletin= False
 another job is running, thus I stop here
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:20:27.711703  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Calculation already submitted (file  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/netcdf/submittedrain.txt ) **exiting**
ret= -1 newcase= False  forceFinal= False  forceBulletin= False
 another job is running, thus I stop here
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:23:16.585673  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done
0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done
0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done
0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
forcing ECMWF
verifying that input file is present
start reading nc...
rain
use all data in nc file
nt,nx,ny, ntmax 72 306 504 73
nt,nx,ny, ntmax 72 306 504 73
forcing ECMWF
>>  0.  SET INPUT/OUTPUT 
ECMWF
/mnt/output/GDACS/TC/TCTrack/1000588/ECMWF/2019082600/all_inpData.txt
error track file-->map without track
trackfile 0
-77.1325669076 -41.7653487009 5.02636194258 26.4674862751
lon 504
lat 306
savemap /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.jpg
processing all past bull only if Past=True... True

 itdate, istime 2019-08-24 00:00:00 20190824.00
forcing ECMWF
verifying that input file is present
start reading nc...
rain
use all data in nc file
nt,nx,ny, ntmax 72 306 504 73
nt,nx,ny, ntmax 72 306 504 73
forcing ECMWF
>>  0.  SET INPUT/OUTPUT 
ECMWF
/mnt/output/GDACS/TC/TCTrack/1000588/ECMWF/2019082400/all_inpData.txt
error track file-->map without track
trackfile 0
-77.1325669076 -41.7653487009 5.02636194258 26.4674862751
lon 504
lat 306
savemap /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain.jpg

 itdate, istime 2019-08-24 12:00:00 20190824.12
forcing ECMWF
verifying that input file is present
start reading nc...
rain
use all data in nc file
nt,nx,ny, ntmax 72 306 504 73
nt,nx,ny, ntmax 72 306 504 73
forcing ECMWF
>>  0.  SET INPUT/OUTPUT 
ECMWF
/mnt/output/GDACS/TC/TCTrack/1000588/ECMWF/2019082412/all_inpData.txt
error track file-->map without track
trackfile 0
-77.1325669076 -41.7653487009 5.02636194258 26.4674862751
lon 504
lat 306
savemap /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain.jpg

 itdate, istime 2019-08-25 00:00:00 20190825.00
forcing ECMWF
verifying that input file is present
start reading nc...
rain
use all data in nc file
nt,nx,ny, ntmax 72 306 504 73
nt,nx,ny, ntmax 72 306 504 73
forcing ECMWF
>>  0.  SET INPUT/OUTPUT 
ECMWF
/mnt/output/GDACS/TC/TCTrack/1000588/ECMWF/2019082500/all_inpData.txt
error track file-->map without track
trackfile 0
-77.1325669076 -41.7653487009 5.02636194258 26.4674862751
lon 504
lat 306
savemap /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain.jpg

 itdate, istime 2019-08-25 12:00:00 20190825.12
forcing ECMWF
verifying that input file is present
start reading nc...
rain
use all data in nc file
nt,nx,ny, ntmax 72 306 504 73
nt,nx,ny, ntmax 72 306 504 73
forcing ECMWF
>>  0.  SET INPUT/OUTPUT 
ECMWF
/mnt/output/GDACS/TC/TCTrack/1000588/ECMWF/2019082512/all_inpData.txt
error track file-->map without track
trackfile 0
-77.1325669076 -41.7653487009 5.02636194258 26.4674862751
lon 504
lat 306
savemap /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain.jpg

 >> 2.2. Process final data files
compfile /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/20190826.00_Final_completed_rain.txt
FINAL
remove maxtif
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H') alldate.shape 5


date:  2019-08-24 12:00:00
python  /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif --calc="(A+B)"


date:  2019-08-25 00:00:00
python  /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif --calc="(A+B)"


date:  2019-08-25 12:00:00
python  /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif --calc="(A+B)"


date:  2019-08-26 00:00:00
python  /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif --calc="(A+B)"
max file created /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif


stormname 
stormname 
TCbullsource 
>>  0.  SET INPUT/OUTPUT 
ECMWF
/mnt/output/GDACS/TC/TCTrack/1000588/ECMWF/2019082600/all_inpData.txt
error track file-->map without track
trackfile 0
-77.0975669076 -41.8875669076 5.0824862751 26.4324862751
lon 504
lat 306
savemap /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_FINAL.jpg
ret:  0
============================================
3. Classify meteo + GDACS index score
============================================

 >> 3.1. Classify curr + past forecast
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain_stept0.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain_stept0.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_res_stept0.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain_stept0.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain_stept0.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_res_stept0.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain_stept0.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain_stept0.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_res_stept0.tif.
0.Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain_stept0.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain_stept0.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_res_stept0.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain_stept0.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain_stept0.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_res_stept0.tif.
0........10.......1010.1010.....20..........2020.2020..30.............3030304030...............5040404040..............6050.50.50.50.........70.60.....6060..60.....80..70........7070.70...9080............80.808090............909090.........100 - done.
100 - done.
100 - done.
100 - done.
100 - done.
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_popfile_stept0_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_popfile_stept0_clipped.tif.
0......1010.....Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_popfile_stept0_clipped.tif.
0.Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_popfile_stept0_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_popfile_stept0_clipped.tif.
02020...............3010301010...............4040202020...............303030.50..50......404040.........505050......6060...........70.60.60.....70.......807070.60...........90.808080...........70.90..9090...........80...90...100 - done.
100 - done.
100 - done.
100 - done.
100 - done.
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_countryfile_stept0_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_countryfile_stept0_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_countryfile_stept0_clipped.tif.
0...Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_countryfile_stept0_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_countryfile_stept0_clipped.tif.
0..........101010.....1010..........202020........2020.....303030..........3030.......404040......4040.......505050........5050.......606060.......6060..........707070.....7070..........808080.....8080..........909090.....9090............100 - done.
100 - done.
100 - done.
100 - done.
100 - done.
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain_stept0.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_popfile_stept0_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_countryfile_stept0_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00/rain_popDensValues_stept0.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
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_popfile_stept0_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_countryfile_stept0_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00/rain_popDensValues_stept0.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain_stept0.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_popfile_stept0_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_countryfile_stept0_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12/rain_popDensValues_stept0.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
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_popfile_stept0_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_countryfile_stept0_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12/rain_popDensValues_stept0.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain_stept0.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_popfile_stept0_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_countryfile_stept0_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00/rain_popDensValues_stept0.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
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_popfile_stept0_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_countryfile_stept0_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00/rain_popDensValues_stept0.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain_stept0.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_popfile_stept0_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_countryfile_stept0_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12/rain_popDensValues_stept0.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
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_popfile_stept0_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_countryfile_stept0_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12/rain_popDensValues_stept0.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain_stept0.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_popfile_stept0_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_countryfile_stept0_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00/rain_popDensValues_stept0.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
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_popfile_stept0_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_countryfile_stept0_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00/rain_popDensValues_stept0.xml
>>  7.  remove files 
done
t0 completed 

Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_res_all.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_res_all.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_res_all.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_res_all.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain.tif.
Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_res_all.tif.
0...............1010101010...............2020202020...............3030303030...............4040404040...............5050505050...............6060606060...............7070707070...............8080808080...............9090909090...............100 - done.
100 - done.
100 - done.
100 - done.
100 - done.
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_popfile_all_clipped.tif.
0...10..Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_popfile_all_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_popfile_all_clipped.tif.
0.Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_popfile_all_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_popfile_all_clipped.tif.
0..20.............1010301010...............4020202020...............30303030....50........40404040............50505050...60.........607060.............80..70.706060..........90.....8080.7070...........90..90.8080...........9090......100 - done.
100 - done.
100 - done.
100 - done.
100 - done.
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_countryfile_all_clipped.tif.
0...10..Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_countryfile_all_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_countryfile_all_clipped.tif.
0Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_countryfile_all_clipped.tif.
0....20Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_countryfile_all_clipped.tif.
0..........10101030..............1040202020...........50.....303030.20....60..........404040....70.....30......50505080..............9060606040..............707070.......50....808080...........90909060............70...80...90...100 - done.
100 - done.
100 - done.
100 - done.
100 - done.
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_popfile_all_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_countryfile_all_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12/rain_popDensValues_all.xml
popfile: LandScan
popCellSize= 0.00833333333333
projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]


>>  1.  resample the tif file to the resolution and proj of pop density  0.00833333333333  deg


>>  2.  read the charactristics of the input file


>>  3a. extract a piece of pop. file corresponding to the required bounding box
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_popfile_all_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12//rain_countryfile_all_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12/rain_popDensValues_all.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_popfile_all_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_countryfile_all_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00/rain_popDensValues_all.xml
popfile: LandScan
popCellSize= 0.00833333333333
projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]


>>  1.  resample the tif file to the resolution and proj of pop density  0.00833333333333  deg


>>  2.  read the charactristics of the input file


>>  3a. extract a piece of pop. file corresponding to the required bounding box
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_popfile_all_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00//rain_countryfile_all_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00/rain_popDensValues_all.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_popfile_all_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_countryfile_all_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00/rain_popDensValues_all.xml
popfile: LandScan
popCellSize= 0.00833333333333
projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]


>>  1.  resample the tif file to the resolution and proj of pop density  0.00833333333333  deg


>>  2.  read the charactristics of the input file


>>  3a. extract a piece of pop. file corresponding to the required bounding box
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_popfile_all_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00//rain_countryfile_all_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00/rain_popDensValues_all.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_popfile_all_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_countryfile_all_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00/rain_popDensValues_all.xml
popfile: LandScan
popCellSize= 0.00833333333333
projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]


>>  1.  resample the tif file to the resolution and proj of pop density  0.00833333333333  deg


>>  2.  read the charactristics of the input file


>>  3a. extract a piece of pop. file corresponding to the required bounding box
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_popfile_all_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00//rain_countryfile_all_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00/rain_popDensValues_all.xml
>>  7.  remove files 
done
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_popfile_all_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_countryfile_all_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12/rain_popDensValues_all.xml
popfile: LandScan
popCellSize= 0.00833333333333
projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]


>>  1.  resample the tif file to the resolution and proj of pop density  0.00833333333333  deg


>>  2.  read the charactristics of the input file


>>  3a. extract a piece of pop. file corresponding to the required bounding box
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_popfile_all_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12//rain_countryfile_all_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12/rain_popDensValues_all.xml
>>  7.  remove files 
done
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif.
Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif.
Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_res_final.tif.
0...10...20...30...40...50...60...70...80...90...100 - done.
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/lspop20141.tif.
Using internal nodata values (e.g. -2.14748e+09) for image /mnt/output/GDACS/DATA/lspop20141.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/lspop20141.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_popfile_final_clipped.tif.
0...10...20...30...40...50...60...70...80...90...100 - done.
Creating output file that is 4234P x 2570L.
Processing input file /mnt/output/GDACS/DATA/countries.tif.
Using internal nodata values (e.g. -32768) for image /mnt/output/GDACS/DATA/countries.tif.
Copying nodata values from source /mnt/output/GDACS/DATA/countries.tif to destination /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_countryfile_final_clipped.tif.
0...10...20...30...40...50...60...70...80...90...100 - done.
t0 completed 

============================================
4. Copy files
============================================
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00/rain_popDensValues_stept0.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190824.00/rain_popDensValues_t0.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.00/rain_popDensValues_all.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190824.00/rain_popDensValues.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.00/20190824.00_rain.jpg in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190824.00/rain.jpg
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12/rain_popDensValues_stept0.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190824.12/rain_popDensValues_t0.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190824.12/rain_popDensValues_all.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190824.12/rain_popDensValues.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190824.12/20190824.12_rain.jpg in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190824.12/rain.jpg
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00/rain_popDensValues_stept0.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190825.00/rain_popDensValues_t0.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.00/rain_popDensValues_all.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190825.00/rain_popDensValues.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.00/20190825.00_rain.jpg in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190825.00/rain.jpg
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12/rain_popDensValues_stept0.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190825.12/rain_popDensValues_t0.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190825.12/rain_popDensValues_all.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190825.12/rain_popDensValues.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190825.12/20190825.12_rain.jpg in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190825.12/rain.jpg
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00/rain_popDensValues_stept0.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190826.00/rain_popDensValues_t0.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/20190826.00/rain_popDensValues_all.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190826.00/rain_popDensValues.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/20190826.00/20190826.00_rain.jpg in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/20190826.00/rain.jpg

 >> 3.2. Classify final folder
/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final/20190826.00_final_completed_rain.txt
input var: rain
Input File: /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_final.tif
hurName:  
hdate:  
var:  rain
description:  rain: _ (ECMWF)
OutDir:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//
PopFile:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_popfile_final_clipped.tif
country:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_countryfile_final_clipped.tif
outxml file:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final/rain_popDensValues_final.xml
popfile: LandScan
popCellSize= 0.00833333333333
projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]]


>>  1.  resample the tif file to the resolution and proj of pop density  0.00833333333333  deg


>>  2.  read the charactristics of the input file


>>  3a. extract a piece of pop. file corresponding to the required bounding box
split,rastershift False -1 -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 ECMWF
/usr/bin/gdalwarp  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_popfile_final_clipped.tif"
>>  3b. extract a piece of countries corresponding to the required bounding box and resolution/proj of pop density
gdalwarp -r near -tr 0.00833333333333 0.00833333333333  -te  -77.1325669076 5.05081960844 -41.8492335743 26.4674862751 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final//rain_countryfile_final_clipped.tif"
>>  4.  classify the vmax file creating another array of values classified
cellsize 0.00833333333333
cellsize 0.00833333333333
cellsize 0.00833333333333
>>  5.  count the popolation in each cell and assign to the class and write to output
>>  6.  print / save output in  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final/rain_popDensValues_final.xml
>>  7.  remove files 
done
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/class/final/rain_popDensValues_final.xml in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/final/rain_popDensValues.xml
copy:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/tif/final/rain_FINAL.jpg in:  /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/delft3d/final/rain.jpg
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:30:30.022380  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:32:08.236493  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:38:43.818845  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:40:26.658338  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:47:38.380167  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 14:50:28.062769  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 15:00:31.493357  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
============================================
1. Set INPUT/OUTPUT
============================================
startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
============================================
2. Processing meteo files: nc2tif
============================================

 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
==============================================================
*******************************************************
*	   Storm Surge Calculation System (SSCS)		 *
*******************************************************
Now is :  2019-08-26 15:10:28.677116  UTC

inp1= 20190824.00
ncores= 5
var= rain
submitting calc 2019-08-24 00:00:00 2019-08-26 00:00:00 delft3d -77.14 -41.76 5.0 26.48 4.0 ECMWF 72 15 True GDACS/1000588/2_ECMWF 6 1 False False 5  20190824.00   rain False
*************---------------------******************
stormname 
ndt: 5
it:  0
ndt: 5
idate:  2019-08-24 00:00:00
running case from  2019-08-24 00:00:00  for  72  h   start= 1
var rain
**** gometeo:  72
listWindows
rundate:20190824.00
RUNNING  2019-08-24 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  1
ndt: 5
idate:  2019-08-24 12:00:00
running case from  2019-08-24 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190824.12
RUNNING  2019-08-24 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  2
ndt: 5
idate:  2019-08-25 00:00:00
running case from  2019-08-25 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.00
RUNNING  2019-08-25 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  3
ndt: 5
idate:  2019-08-25 12:00:00
running case from  2019-08-25 12:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190825.12
RUNNING  2019-08-25 12:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
it:  4
ndt: 5
idate:  2019-08-26 00:00:00
running case from  2019-08-26 00:00:00  for  72  h   start= 0
var rain
**** gometeo:  72
listWindows
rundate:20190826.00
RUNNING  2019-08-26 00:00:00  for  72 hours
Nothing to do, case already completed
ret= -3 newcase= False  forceFinal= False  forceBulletin= False
netcdf already created
home dir /mnt/output/SSCS/2019/GDACS/1000588/2_ECMWF/
ret -3
classifications
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1. Set INPUT/OUTPUT
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startdate 2019-08-24 00:00:00
currdate 2019-08-26 00:00:00
ndt:  48 delta: 12
nt1=delta 12
nt 72
alldate:  DatetimeIndex(['2019-08-24 00:00:00', '2019-08-24 12:00:00',
               '2019-08-25 00:00:00', '2019-08-25 12:00:00',
               '2019-08-26 00:00:00'],
              dtype='datetime64[ns]', freq='12H')
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2. Processing meteo files: nc2tif
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 >> 2.1. Process curr + past files
processing curr bull... 2019-08-26 00:00:00
********** no new data
no new data
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