Creating output file that is 721P x 811L. Processing input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 721P x 811L. Processing input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 721P x 811L. Processing input file /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 721P x 811L. Processing input file /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.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 : 2019-09-02 17:50:26.754657 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 06:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 06:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 06:00:00 107.23 143.3 107.23 143.3 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/ /mnt/input/grib_HWRF/2019/1000593/ input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif dd: 0.050027739251 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt 107.25501387 143.27498613 5.00251733703 45.5249861304 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt currDate 2019-09-02 06:00:00 2019-09-05 06:00:00 sdate 2019-09-05 06:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'TS', 'TS'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.jpg 107.23 143.3 107.23 143.3 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/ /mnt/input/grib_HWRF/2019/1000593/ input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif dd: 0.050027739251 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt 107.25501387 143.27498613 5.00251733703 45.5249861304 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt currDate 2019-09-02 06:00:00 2019-09-05 06:00:00 sdate 2019-09-05 06:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'TS', 'TS'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.jpg processing all past bull only if Past=True... True itdate, istime 2019-09-02 00:00:00 20190902.00 107.23 143.3 107.23 143.3 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/ /mnt/input/grib_HWRF/2019/1000593/ input file /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif dd: 0.050027739251 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt 107.25501387 143.27498613 5.00251733703 45.5249861304 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt currDate 2019-09-02 00:00:00 2019-09-05 00:00:00 sdate 2019-09-05 00:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'MH', 'H', 'H', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.jpg 107.23 143.3 107.23 143.3 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/ /mnt/input/grib_HWRF/2019/1000593/ input file /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif dd: 0.050027739251 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt 107.25501387 143.27498613 5.00251733703 45.5249861304 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090200/all_inpData.txt currDate 2019-09-02 00:00:00 2019-09-05 00:00:00 sdate 2019-09-05 00:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'MH', 'H', 'H', 'H', 'H', 'H', 'H', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.jpg >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/20190902.06_Final_completed_rain.txt FINAL alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') alldate.shape 2 date: 2019-09-02 06:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" max file created /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif stormname 1000593/15w stormname 1000593/15w TCbullsource 15w >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt 107.280027739 143.3 4.97750346741 45.4999722607 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090206/all_inpData.txt currDate 2019-09-02 06:00:00 2019-09-05 06:00:00 sdate 2019-09-05 06:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'TS', 'TS'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_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 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_res_stept0.tif. 0Creating output file that is 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_res_stept0.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.06//rain_popfile_stept0_clipped.tif. 0Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.00//rain_popfile_stept0_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 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.06//rain_countryfile_stept0_clipped.tif. 0.Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.00//rain_countryfile_stept0_clipped.tif. 0...10....10.20......2030......3040......40...50.50...60....60..70.....7080......8090......90...100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06/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 -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/20190902.06/rain_popDensValues_stept0.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00/rain_popDensValues_stept0.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 cellsize 0.00833333333333 >> 6. print / save output in /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00/rain_popDensValues_stept0.xml >> 7. remove files done t0 completed Creating output file that is 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_res_all.tif. 0Creating output file that is 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_res_all.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.06//rain_popfile_all_clipped.tif. 0Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.00//rain_popfile_all_clipped.tif. 0......1010......2020......3030......4040......5050......6060......7070......8080......9090......100 - done. 100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.06//rain_countryfile_all_clipped.tif. 0Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.00//rain_countryfile_all_clipped.tif. 0......1010......2020......3030......4040......5050.....60..60....70..70....80..80....90..90.....100 - done. 100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00/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 -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/20190902.00/rain_popDensValues_all.xml >> 7. remove files done input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06/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 -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/20190902.06/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_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 4328P x 4869L. 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/1000593/3_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/1000593/3_HWRF/class/20190902.00/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.00/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.06/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.06/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final/20190902.06_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final/rain_popDensValues_final.xml popfile: LandScan popCellSize= 0.00833333333333 projection= GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] >> 1. resample the tif file to the resolution and proj of pop density 0.00833333333333 deg >> 2. read the charactristics of the input file >> 3a. extract a piece of pop. file corresponding to the required bounding box split,rastershift False -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_countryfile_final_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/final/rain.jpg ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 17:50:26.754657 UTC Case completed at: 2019-09-02 17:55:10.534565 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 18:00:33.189842 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 06:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 06:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 06:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 18:00:33.189842 UTC Case completed at: 2019-09-02 18:00:33.469694 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 18:10:27.369345 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 06:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 06:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 06:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 18:10:27.369345 UTC Case completed at: 2019-09-02 18:10:27.521331 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 18:20:27.362124 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 06:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 06:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 06:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 18:20:27.362124 UTC Case completed at: 2019-09-02 18:20:27.833127 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 18:30:31.549607 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 06:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 06:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 06:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 18:30:31.549607 UTC Case completed at: 2019-09-02 18:30:31.772013 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 18:40:33.182895 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 06:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 2 it: 0 ndt: 2 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 2 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 06:00:00 ndt: 6 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 06:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 18:40:33.182895 UTC Case completed at: 2019-09-02 18:40:33.637977 UTC **********E N D O F J O B*********************** Creating output file that is 721P x 811L. Processing input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 721P x 811L. Processing input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif. Using internal nodata values (e.g. -3.40282e+38) for image /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.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 ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 18:50:37.033728 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 12:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 12:00:00 ndt: 12 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00', '2019-09-02 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 12:00:00 107.23 143.3 107.23 143.3 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/ /mnt/input/grib_HWRF/2019/1000593/ input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif dd: 0.050027739251 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt 107.25501387 143.27498613 5.00251733703 45.5249861304 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt currDate 2019-09-02 12:00:00 2019-09-05 12:00:00 sdate 2019-09-05 12:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.jpg 107.23 143.3 107.23 143.3 0.05 0.05 /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/ /mnt/input/grib_HWRF/2019/1000593/ input file /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 Resample tif file /usr/bin/gdalwarp -r bilinear -te 107.23 5.0 143.3 45.55 -dstnodata 0 "/mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif" outFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif dd: 0.050027739251 >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt 107.25501387 143.27498613 5.00251733703 45.5249861304 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt currDate 2019-09-02 12:00:00 2019-09-05 12:00:00 sdate 2019-09-05 12:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.jpg processing all past bull only if Past=True... True itdate, istime 2019-09-02 00:00:00 20190902.00 meteo-processing past forecast already completed itdate, istime 2019-09-02 06:00:00 20190902.06 meteo-processing past forecast already completed >> 2.2. Process final data files compfile /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/20190902.12_Final_completed_rain.txt FINAL remove maxtif alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00', '2019-09-02 12:00:00'], dtype='datetime64[ns]', freq='6H') alldate.shape 3 date: 2019-09-02 06:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain_stept0.tif -B /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain_stept0.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" date: 2019-09-02 12:00:00 python /mnt/output/SSCS/scripts/gdal_calc.py -A /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif -B /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif --outfile=/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif --calc="(A+B)" max file created /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif stormname 1000593/15w stormname 1000593/15w TCbullsource 15w >> 0. SET INPUT/OUTPUT HWRF /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt trackfile /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt 107.280027739 143.3 4.97750346741 45.4999722607 lon 721 lat 811 read TC track /mnt/output/GDACS/TC/TCTrack/1000593/HWRF/2019090212/all_inpData.txt currDate 2019-09-02 12:00:00 2019-09-05 12:00:00 sdate 2019-09-05 12:00:00 -4 CAT ['TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'TS', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'H', 'MH', 'H'] savemap /mnt/output/SSCS/2019/GDACS/1000593/3_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 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_res_stept0.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.12//rain_popfile_stept0_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.12//rain_countryfile_stept0_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain_stept0.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_popfile_stept0_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_countryfile_stept0_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12/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 -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_countryfile_stept0_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/20190902.12/rain_popDensValues_stept0.xml >> 7. remove files done t0 completed Creating output file that is 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif. Using internal nodata values (e.g. -999) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_res_all.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.12//rain_popfile_all_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_HWRF/class/20190902.12//rain_countryfile_all_clipped.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_popfile_all_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_countryfile_all_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12/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 -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12//rain_countryfile_all_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/20190902.12/rain_popDensValues_all.xml >> 7. remove files done Creating output file that is 4328P x 4869L. Processing input file /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif. Using internal nodata values (e.g. 3.40282e+38) for image /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif. Copying nodata values from source /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif to destination /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_res_final.tif. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 4328P x 4869L. 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/1000593/3_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 4328P x 4869L. 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/1000593/3_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/1000593/3_HWRF/class/20190902.00/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.00/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.00/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.00/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.00/20190902.00_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.00/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.06/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.06/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.06/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.06/20190902.06_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.06/rain.jpg copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12/rain_popDensValues_stept0.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.12/rain_popDensValues_t0.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/20190902.12/rain_popDensValues_all.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.12/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/20190902.12/20190902.12_rain.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/20190902.12/rain.jpg >> 3.2. Classify final folder /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final/20190902.12_final_completed_rain.txt input var: rain Input File: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_final.tif hurName: hdate: var: rain description: rain: _ (HWRF) OutDir: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final// PopFile: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_popfile_final_clipped.tif country: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_countryfile_final_clipped.tif outxml file: /mnt/output/SSCS/2019/GDACS/1000593/3_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 -1 107.25501387 4.94998613039 143.321680536 45.5249861304 HWRF /usr/bin/gdalwarp -te 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/lspop20141.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_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 107.25501387 4.94998613039 143.321680536 45.5249861304 "/mnt/output/GDACS/DATA/countries.tif" "/mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final//rain_countryfile_final_clipped.tif" >> 4. classify the vmax file creating another array of values classified cellsize 0.00833333333333 cellsize 0.00833333333318 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/1000593/3_HWRF/class/final/rain_popDensValues_final.xml >> 7. remove files done copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/class/final/rain_popDensValues_final.xml in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/final/rain_popDensValues.xml copy: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/tif/final/rain_FINAL.jpg in: /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/delft3d/final/rain.jpg ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 18:50:37.033728 UTC Case completed at: 2019-09-02 18:54:36.029746 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 19:00:36.468089 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 12:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 12:00:00 ndt: 12 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00', '2019-09-02 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 19:00:36.468089 UTC Case completed at: 2019-09-02 19:00:36.706451 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 19:10:26.257021 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 12:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 12:00:00 ndt: 12 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00', '2019-09-02 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 19:10:26.257021 UTC Case completed at: 2019-09-02 19:10:26.434016 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 19:20:25.155224 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 12:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 12:00:00 ndt: 12 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00', '2019-09-02 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 19:20:25.155224 UTC Case completed at: 2019-09-02 19:20:25.311468 UTC **********E N D O F J O B*********************** ******************************************************* * Storm Surge Calculation System (SSCS) * ******************************************************* Now is : 2019-09-02 19:30:29.309915 UTC inp1= 20190902.00 ncores= 5 var= rain lw= aa.txt stormname!!!!!!!!!!!!!!!= 1000593/15w submitting calc 2019-09-02 00:00:00 2019-09-02 12:00:00 delft3d 107.23 143.3 5.0 45.55 4.0 HWRF 72 15 True GDACS/1000593/3_HWRF 6 1 False False 5 aa.txt 20190902.00 1000593/15w 6 rain False *************---------------------****************** GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_6h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_6h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_6h.tif input file exist GDACS/1000593/3_HWRF 1000593 ndt: 3 it: 0 ndt: 3 idate: 2019-09-02 00:00:00 /mnt/input/grib_HWRF/2019/1000593/fifteen15w.2019090200.swath.rain_72h.tif input file exist it: 1 ndt: 3 idate: 2019-09-02 06:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090206.swath.rain_72h.tif input file exist it: 2 ndt: 3 idate: 2019-09-02 12:00:00 /mnt/input/grib_HWRF/2019/1000593/lingling15w.2019090212.swath.rain_72h.tif input file exist home dir /mnt/output/SSCS/2019/GDACS/1000593/3_HWRF/ ret 0 classifications ============================================ 1. Set INPUT/OUTPUT ============================================ startdate 2019-09-02 00:00:00 currdate 2019-09-02 12:00:00 ndt: 12 delta: 6 nt1=delta 6 nt 72 alldate: DatetimeIndex(['2019-09-02 00:00:00', '2019-09-02 06:00:00', '2019-09-02 12:00:00'], dtype='datetime64[ns]', freq='6H') ============================================ 2. Processing meteo files: nc2tif ============================================ >> 2.1. Process curr + past files processing curr bull... 2019-09-02 12:00:00 ********** no new data no new data ******************************************************* * Case Completed * ******************************************************* Case starterd at: 2019-09-02 19:30:29.309915 UTC Case completed at: 2019-09-02 19:30:29.429855 UTC **********E N D O F J O B***********************