Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. 0 .. 10 .. 20 .. 30 .. 40 .. 50 .. 60 .. 70 .. 80 .. 90 .. 100 - Done ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 10:14:08.236770 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 00:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 00:00:00 -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt currDate 2019-09-13 00:00:00 2019-09-16 00:00:00 sdate 2019-09-16 00:00:00 -4 CAT ['TD', 'TD', 'TS', 'TS', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'MH', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.jpg -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt currDate 2019-09-13 00:00:00 2019-09-16 00:00:00 sdate 2019-09-16 00:00:00 -4 CAT ['TD', 'TD', 'TS', 'TS', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'MH', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.jpg processing all past bull only if Past=True... True itdate, istime 2019-09-12 18:00:00 20190912.18 -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt currDate 2019-09-12 18:00:00 2019-09-15 18:00:00 sdate 2019-09-15 18:00:00 -4 CAT ['TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TD', 'TD', 'TD', 'TD'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.jpg -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091218/all_inpData.txt currDate 2019-09-12 18:00:00 2019-09-15 18:00:00 sdate 2019-09-15 18:00:00 -4 CAT ['TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TD', 'TD', 'TD', 'TD'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.jpg >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/20190913.00_Final_completed_rain.txt FINAL alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00'], dtype='datetime64[ns]', freq='6H') alldate.shape 2 date: 2019-09-13 00:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" max file created /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif stormname 1000599/09l stormname 1000599/09l TCbullsource 09l >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt 271.550035714 299.52 9.52999999999 37.4999642857 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091300/all_inpData.txt currDate 2019-09-13 00:00:00 2019-09-16 00:00:00 sdate 2019-09-16 00:00:00 -4 CAT ['TD', 'TD', 'TS', 'TS', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'MH', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_res_stept0.tif. 0Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_res_stept0.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.00//rain_popfile_stept0_clipped.tif. 0Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190912.18//rain_popfile_stept0_clipped.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190912.18//rain_countryfile_stept0_clipped.tif. 0...Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.00//rain_countryfile_stept0_clipped.tif. 010......2010......3020......4030......5040......6050......7060......8070......9080......90...100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18/rain_popDensValues_stept0.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 split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18/rain_popDensValues_stept0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_stept0.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 split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_stept0.xml >> 7. remove files done t0 completed Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_res_all.tif. 0.Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_res_all.tif. 0....10..10....20..20....30..30....40..40....50..50....60..60....70..70....80..80....90..90.....100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190912.18//rain_popfile_all_clipped.tif. 0Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.00//rain_popfile_all_clipped.tif. 0......1010......2020......3030......4040.....50.50....60....60..70....70..80...80....90..90.....100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.00//rain_countryfile_all_clipped.tif. 0...10Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190912.18//rain_countryfile_all_clipped.tif. 0.....20...10..30....20..40.....3050......4060......7050......8060.....90..70.....80...90...100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/20190912.18/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/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 -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/20190913.00/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/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/1000599/3_HWRF/class/20190912.18/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/20190913.00_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/rain_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 split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_countryfile_final_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/final/rain.jpg ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 10:14:08.236770 UTC Case completed at: 2019-09-13 10:17:19.759071 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 10:24:13.740973 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 00:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 10:24:13.740973 UTC Case completed at: 2019-09-13 10:24:13.929500 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 10:34:06.594935 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 00:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 10:34:06.594935 UTC Case completed at: 2019-09-13 10:34:07.573296 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 10:44:11.343794 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 00:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 10:44:11.343794 UTC Case completed at: 2019-09-13 10:44:11.562773 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 10:54:10.954855 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 2 it: 0 ndt: 2 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 00:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 10:54:10.954855 UTC Case completed at: 2019-09-13 10:54:11.108180 UTC **********E N D O F J O B*********************** Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif. 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 ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 22:34:05.600586 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 12:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 12:00:00 ndt: 18 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 12:00:00 -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt currDate 2019-09-13 12:00:00 2019-09-16 12:00:00 sdate 2019-09-16 12:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.jpg -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt currDate 2019-09-13 12:00:00 2019-09-16 12:00:00 sdate 2019-09-16 12:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.jpg processing all past bull only if Past=True... True itdate, istime 2019-09-12 18:00:00 20190912.18 meteo-processing past forecast already completed itdate, istime 2019-09-13 00:00:00 20190913.00 meteo-processing past forecast already completed itdate, istime 2019-09-13 06:00:00 20190913.06 -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt currDate 2019-09-13 06:00:00 2019-09-16 06:00:00 sdate 2019-09-16 06:00:00 -4 CAT ['TD', 'TD', 'TD', 'TS', 'TD', 'TS', 'TS', 'TD', 'TS', 'TS', 'TS', 'TS', 'H', 'TS', 'H', 'MH', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.jpg -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091306/all_inpData.txt currDate 2019-09-13 06:00:00 2019-09-16 06:00:00 sdate 2019-09-16 06:00:00 -4 CAT ['TD', 'TD', 'TD', 'TS', 'TD', 'TS', 'TS', 'TD', 'TS', 'TS', 'TS', 'TS', 'H', 'TS', 'H', 'MH', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.jpg >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/20190913.12_Final_completed_rain.txt FINAL remove maxtif alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00'], dtype='datetime64[ns]', freq='6H') alldate.shape 4 date: 2019-09-13 00:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-13 06:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-13 12:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" max file created /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif stormname 1000599/09l stormname 1000599/09l TCbullsource 09l >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt 271.550035714 299.52 9.52999999999 37.4999642857 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091312/all_inpData.txt currDate 2019-09-13 12:00:00 2019-09-16 12:00:00 sdate 2019-09-16 12:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_res_stept0.tif. 0Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_res_stept0.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.06//rain_popfile_stept0_clipped.tif. 0.Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.12//rain_popfile_stept0_clipped.tif. 0....10..10....20..20...30....30..40....40..50..50......6060......70.70.....8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.12//rain_countryfile_stept0_clipped.tif. 0.Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.06//rain_countryfile_stept0_clipped.tif. 0....10..10....20..20....30..30....40..40....50..50....60..60....70..70....80..80....90..90.....100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_stept0.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 split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_stept0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/rain_popDensValues_stept0.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 split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/rain_popDensValues_stept0.xml >> 7. remove files done t0 completed Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_res_all.tif. 0Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_res_all.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.06//rain_popfile_all_clipped.tif. 0...Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.12//rain_popfile_all_clipped.tif. 010.....20....1030.....40...20.50...30...40...50...60......7060......8070......9080......90...100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.12//rain_countryfile_all_clipped.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/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 -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/20190913.12/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/20190913.06/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/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/1000599/3_HWRF/class/20190912.18/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.06/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.12/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.12/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/20190913.12_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/rain_popDensValues_final.xml xml file exists...REMOVE popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_countryfile_final_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/final/rain.jpg ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 22:34:05.600586 UTC Case completed at: 2019-09-13 22:37:17.333114 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 22:44:05.840698 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 12:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 12:00:00 ndt: 18 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 22:44:05.840698 UTC Case completed at: 2019-09-13 22:44:06.047829 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 22:54:11.290289 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 12:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 12:00:00 ndt: 18 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 22:54:11.290289 UTC Case completed at: 2019-09-13 22:54:11.527992 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-13 23:04:06.856698 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-13 12:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 4 it: 0 ndt: 4 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 4 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 4 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 4 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-13 12:00:00 ndt: 18 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-13 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-13 23:04:06.856698 UTC Case completed at: 2019-09-13 23:04:07.135049 UTC **********E N D O F J O B*********************** Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 560P x 560L. Processing input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif. 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 ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-14 11:14:05.150163 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-14 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-14 00:00:00 ndt: 30 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00', '2019-09-13 18:00:00', '2019-09-14 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-14 00:00:00 -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt currDate 2019-09-14 00:00:00 2019-09-17 00:00:00 sdate 2019-09-17 00:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'H', 'MH'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.jpg -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt currDate 2019-09-14 00:00:00 2019-09-17 00:00:00 sdate 2019-09-17 00:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'H', 'MH'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.jpg processing all past bull only if Past=True... True itdate, istime 2019-09-12 18:00:00 20190912.18 meteo-processing past forecast already completed itdate, istime 2019-09-13 00:00:00 20190913.00 meteo-processing past forecast already completed itdate, istime 2019-09-13 06:00:00 20190913.06 meteo-processing past forecast already completed itdate, istime 2019-09-13 12:00:00 20190913.12 meteo-processing past forecast already completed itdate, istime 2019-09-13 18:00:00 20190913.18 -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt currDate 2019-09-13 18:00:00 2019-09-16 18:00:00 sdate 2019-09-16 18:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'MH', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.jpg -88.5 -60.48 271.5 299.52 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/ /mnt/input/grib_HWRF/2019/1000599/ input file /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 271.5 9.55 299.52 37.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif dd: 0.0500357142857 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt 271.525017857 299.494982143 9.55501785714 37.5249821429 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091318/all_inpData.txt currDate 2019-09-13 18:00:00 2019-09-16 18:00:00 sdate 2019-09-16 18:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'MH', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.jpg >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/20190914.00_Final_completed_rain.txt FINAL remove maxtif alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00', '2019-09-13 18:00:00', '2019-09-14 00:00:00'], dtype='datetime64[ns]', freq='6H') alldate.shape 6 date: 2019-09-13 00:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-13 06:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-13 12:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-13 18:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-14 00:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" max file created /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif stormname 1000599/09l stormname 1000599/09l TCbullsource 09l >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt 271.550035714 299.52 9.52999999999 37.4999642857 lon 560 lat 560 read TC track /mnt/output/GDACS/TC/TCTrack/1000599/HWRF/2019091400/all_inpData.txt currDate 2019-09-14 00:00:00 2019-09-17 00:00:00 sdate 2019-09-17 00:00:00 -4 CAT ['TD', 'TD', 'TD', 'TD', 'TD', 'TD', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'H', 'MH'] savemap /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_FINAL.jpg ret: 0 ============================================ 3. Classify meteo + GDACS index score ============================================ >> 3.1. Classify curr + past forecast Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_res_stept0.tif. 0Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_res_stept0.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190914.00//rain_popfile_stept0_clipped.tif. 0..Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.18//rain_popfile_stept0_clipped.tif. 0..10....10..20....20..30.....3040......4050...50.....60..60....70..70....80..80....90..90.....100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.18//rain_countryfile_stept0_clipped.tif. 0Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190914.00//rain_countryfile_stept0_clipped.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18/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 -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18/rain_popDensValues_stept0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00/rain_popDensValues_stept0.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 split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00/rain_popDensValues_stept0.xml >> 7. remove files done t0 completed Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_res_all.tif. 0Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_res_all.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.18//rain_popfile_all_clipped.tif. 0...Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190914.00//rain_popfile_all_clipped.tif. 010......1020......2030......4030......5040...50...60......6070......7080......8090......90...100 - done. 100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190914.00//rain_countryfile_all_clipped.tif. 0.Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/20190913.18//rain_countryfile_all_clipped.tif. 0....10..10....20..20....30..30....40..40....50..50....60..60....70..70....80..80....90..90.....100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00/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 -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/20190914.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18/rain_popDensValues_all.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/20190913.18/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 3362P x 3362L. Processing input file /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/class/final//rain_popfile_final_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 3362P x 3362L. 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/1000599/3_HWRF/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/1000599/3_HWRF/class/20190912.18/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190912.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190912.18/20190912.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190912.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.00/20190913.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.06/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.06/20190913.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.12/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.12/20190913.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.12/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.18/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190913.18/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.18/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190913.18/20190913.18_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190913.18/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190914.00/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/20190914.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190914.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/20190914.00/20190914.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/20190914.00/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/20190914.00_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/rain_popDensValues_final.xml xml file exists...REMOVE popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 271.525017857 9.5083154762 299.541684524 37.5249821429 HWRF /usr/bin/gdalwarp -te -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/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 -88.4749821429 9.5083154762 -60.4583154762 37.5249821429 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final//rain_countryfile_final_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333334 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/1000599/3_HWRF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/delft3d/final/rain.jpg ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-14 11:14:05.150163 UTC Case completed at: 2019-09-14 11:17:28.820857 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-14 11:24:12.357847 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-14 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-14 00:00:00 ndt: 30 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00', '2019-09-13 18:00:00', '2019-09-14 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-14 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-14 11:24:12.357847 UTC Case completed at: 2019-09-14 11:24:12.701166 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-14 11:34:37.892472 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-14 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-14 00:00:00 ndt: 30 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00', '2019-09-13 18:00:00', '2019-09-14 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-14 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-14 11:34:37.892472 UTC Case completed at: 2019-09-14 11:34:38.405437 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-14 11:44:07.880872 UTC inp1= 20190912.18 ncores= 2 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000599/09l submitting calc 2019-09-12 18:00:00 2019-09-14 00:00:00 delft3d -88.5 -60.48 9.55 37.55 4.0 HWRF 72 15 True GDACS/1000599/3_HWRF 6 1 False False 2 aa.txt 20190912.18 1000599/09l 6 rain False *************---------------------****************** GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_6h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_6h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_6h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_6h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_6h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_6h.tif input file exist GDACS/1000599/3_HWRF 1000599 ndt: 6 it: 0 ndt: 6 idate: 2019-09-12 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091218.swath.rain_72h.tif input file exist it: 1 ndt: 6 idate: 2019-09-13 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091300.swath.rain_72h.tif input file exist it: 2 ndt: 6 idate: 2019-09-13 06:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091306.swath.rain_72h.tif input file exist it: 3 ndt: 6 idate: 2019-09-13 12:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091312.swath.rain_72h.tif input file exist it: 4 ndt: 6 idate: 2019-09-13 18:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091318.swath.rain_72h.tif input file exist it: 5 ndt: 6 idate: 2019-09-14 00:00:00 /mnt/input/grib_HWRF/2019/1000599/nine09l.2019091400.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000599/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-12 18:00:00 currdate 2019-09-14 00:00:00 ndt: 30 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-12 18:00:00', '2019-09-13 00:00:00', '2019-09-13 06:00:00', '2019-09-13 12:00:00', '2019-09-13 18:00:00', '2019-09-14 00:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-14 00:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-14 11:44:07.880872 UTC Case completed at: 2019-09-14 11:44:08.592346 UTC **********E N D O F J O B***********************