Attributes {
    T {
        String standard_name "time";
        Float32 pointwidth 1.0;
        String calendar "360";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    X {
        String standard_name "longitude";
        Float32 pointwidth 0.25;
        Int32 gridtype 1;
        String units "degree_east";
    }
    Y {
        String standard_name "latitude";
        Float32 pointwidth 0.25;
        Int32 gridtype 0;
        String units "degree_north";
    }
    Y_01 {
        String standard_name "latitude";
        Float32 pointwidth 0.25;
        Int32 gridtype 0;
        String units "degree_north";
    }
    X_01 {
        String standard_name "longitude";
        Float32 pointwidth 0.5;
        Int32 gridtype 1;
        String units "degree_east";
    }
    Y_02 {
        String standard_name "latitude";
        Float32 pointwidth 0.5;
        Int32 gridtype 0;
        String units "degree_north";
    }
    X_02 {
        String standard_name "longitude";
        Float32 pointwidth 1.0;
        Int32 gridtype 1;
        String units "degree_east";
    }
    Y_03 {
        String standard_name "latitude";
        Float32 pointwidth 1.0;
        Int32 gridtype 0;
        String units "degree_north";
    }
    X_03 {
        String standard_name "longitude";
        Float32 pointwidth 2.5;
        Int32 gridtype 1;
        String units "degree_east";
    }
    Y_04 {
        String standard_name "latitude";
        Float32 pointwidth 2.5;
        Int32 gridtype 0;
        String units "degree_north";
    }
    0p25{
        diff_new_old_method {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Difference of New Minus Old Interpolation Method per Grid";
            Int32 code 25;
        }
        infilled_numgauges {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Infilled Stations per Grid";
            Int32 code 23;
        }
        interpolation_error {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) Without Infilled Stations per Grid";
            Int32 code 22;
        }
        interpolation_error_infilled {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) With Infilled Stations per Grid";
            Int32 code 24;
        }
        numgauge {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Stations per Grid";
            Int32 code 21;
        }
        precip {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String standard_name "lwe_precipitation_rate";
            String units "mm/month";
            Int32 code 20;
            String long_name "Total Precipitation";
            String colorscalename "precip_colors";
            String colormap "null", "16777215", "16777215", "16777215", "16777215", "3", "14155730", "14155730", "28", "10217110", "10217110", "31", "7590510", "7590510", "31", "3322925", "3322925", "32", "1681940", "1681940", "31", "1021450", "1021450", "31", "360960", "360960", "31", "290304", "290304", "32", "290304";
            Int32 ncolor 254;
            Int32 maxncolor 254;
            Float32 scale_min 0.0;
            Int32 CS 0;
        }
    }
    0p5{
        diff_new_old_method {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Difference of New Minus Old Interpolation Method per Grid";
            Int32 code 25;
        }
        infilled_numgauges {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Infilled Stations per Grid";
            Int32 code 23;
        }
        interpolation_error {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) Without Infilled Stations per Grid";
            Int32 code 22;
        }
        interpolation_error_infilled {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) With Infilled Stations per Grid";
            Int32 code 24;
        }
        numgauge {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Stations per Grid";
            Int32 code 21;
        }
        precip {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String standard_name "lwe_precipitation_rate";
            String units "mm/month";
            Int32 code 20;
            String long_name "Total Precipitation";
            String colorscalename "precip_colors";
            String colormap "null", "16777215", "16777215", "16777215", "16777215", "3", "14155730", "14155730", "28", "10217110", "10217110", "31", "7590510", "7590510", "31", "3322925", "3322925", "32", "1681940", "1681940", "31", "1021450", "1021450", "31", "360960", "360960", "31", "290304", "290304", "32", "290304";
            Int32 ncolor 254;
            Int32 maxncolor 254;
            Float32 scale_min 0.0;
            Int32 CS 0;
        }
    }
    1p0{
        diff_new_old_method {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Difference of New Minus Old Interpolation Method per Grid";
            Int32 code 25;
        }
        infilled_numgauges {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Infilled Stations per Grid";
            Int32 code 23;
        }
        interpolation_error {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) Without Infilled Stations per Grid";
            Int32 code 22;
        }
        interpolation_error_infilled {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) With Infilled Stations per Grid";
            Int32 code 24;
        }
        numgauge {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Stations per Grid";
            Int32 code 21;
        }
        precip {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String standard_name "lwe_precipitation_rate";
            String units "mm/month";
            Int32 code 20;
            String long_name "Total Precipitation";
            String colorscalename "precip_colors";
            String colormap "null", "16777215", "16777215", "16777215", "16777215", "3", "14155730", "14155730", "28", "10217110", "10217110", "31", "7590510", "7590510", "31", "3322925", "3322925", "32", "1681940", "1681940", "31", "1021450", "1021450", "31", "360960", "360960", "31", "290304", "290304", "32", "290304";
            Int32 ncolor 254;
            Int32 maxncolor 254;
            Float32 scale_min 0.0;
            Int32 CS 0;
        }
    }
    2p5{
        diff_new_old_method {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Difference of New Minus Old Interpolation Method per Grid";
            Int32 code 25;
        }
        infilled_numgauges {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Infilled Stations per Grid";
            Int32 code 23;
        }
        interpolation_error {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) Without Infilled Stations per Grid";
            Int32 code 22;
        }
        interpolation_error_infilled {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "mm/month";
            String long_name "Interpolation Error (YAMAMOTO) With Infilled Stations per Grid";
            Int32 code 24;
        }
        numgauge {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String units "gauges per grid";
            String long_name "Number of Stations per Grid";
            Int32 code 21;
        }
        precip {
            Float32 pointwidth 1.0;
            Float32 missing_value -99999.992;
            String standard_name "lwe_precipitation_rate";
            String units "mm/month";
            Int32 code 20;
            String long_name "Total Precipitation";
            String colorscalename "precip_colors";
            String colormap "null", "16777215", "16777215", "16777215", "16777215", "3", "14155730", "14155730", "28", "10217110", "10217110", "31", "7590510", "7590510", "31", "3322925", "3322925", "32", "1681940", "1681940", "31", "1021450", "1021450", "31", "360960", "360960", "31", "290304", "290304", "32", "290304";
            Int32 ncolor 254;
            Int32 maxncolor 254;
            Float32 scale_min 0.0;
            Int32 CS 0;
        }
    }
NC_GLOBAL {
    URL data source "https://opendata.dwd.de/climate_environment/GPCC/html/fulldata-monthly_v2020_doi_download.html";
    String Conventions "IRIDL";
    String 0p25.Conventions "CF-1.4";
    String 0p25.CDI "Climate Data Interface version 1.7.0 (http://mpimet.mpg.de/cdi)";
    String 0p25.geospatial_lat_min "-90.";
    String 0p25.long_name "0.25 Degree Resolution";
    String 0p25.creator_url "http://gpcc.dwd.de";
    String 0p25.creator_email "gpcc@dwd.de";
    String 0p25.time_coverage_resolution "month";
    String 0p25.date_created "So 13. Dez 22:59:48 UTC 2020";
    String 0p25.creator_name "GPCC/DWD";
    String 0p25.time_coverage_end "1900-12-01";
    String 0p25.citation "Schneider, Udo; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2020): GPCC Full Data Monthly Product Version 2020 at 0.25°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. DOI: 10.5676/DWD_GPCC/FD_M_V2020_025";
    String 0p25.geospatial_lon_max "180.";
    String 0p25.history "Sun Dec 13 22:59:48 2020: cdo -setgatts,gattfile_025 .//full_data_monthly_v2020_025.nc tmp025.nc Sun Dec 13 22:59:13 2020: cdo -merge .//full_p_v2020_025.nc .//full_s_v2020_025.nc .//full_si_v2020_025.nc .//full_e_v2020_025.nc .//full_ei_v2020_025.nc .//full_d_v2020_025.nc .//full_data_monthly_v2020_025.nc Sun Dec 13 21:02:50 2020: cdo cat tmp025.nc .//full_d_v2020_025.nc Sun Dec 13 21:02:50 2020: cdo -b F32 -r -f nc -setgrid,full025desc.asc -setmissval,-99999.99 -setname,diff_new_old_method -setpartab,codetable.txt -setcode,25 -setdate,1891-01-01 -input,r1440x720 tmp025.nc";
    String 0p25.summary "The Full Data Monthly Product is of much higher accuracy compared to the GPCC near real-time products mentioned above. Therefore, its application is recommended for hydrometeorological model verification and water cycle studies, e.g. in context of UNESCO, GEWEX, and GTN-H (Global Terrestrial Network for Hydrology). This analysis product is based on all stations, near real-time and non real-time, in the GPCC data base supplying data for the individual month. The GPCC Full Data Monthly Product Version 2020 covers the period from 1891 to 2019 ; this new extended product version using the new GPCC climatology as analysis background was generated in October 2020. The data coverage per month varies from less than 20,000 to more than 50,000 stations. The full data re-analyses will be updated at irregular time intervals subsequent to significant data base improvements.";
    String 0p25.time_coverage_start "1891-01-01";
    String 0p25.institution "Deutscher Wetterdienst";
    String 0p25.geospatial_lon_min "-180.";
    String 0p25.keywords "precipitation climatology,gpcc,global,gpcp,";
    String 0p25.title "GPCC Full Data Monthly Product Version 2020, precipitation in mm/month, 0.25 degree";
    String 0p25.id "full_data_precipitation_025";
    String 0p25.geospatial_lat_max "90.";
    String 0p25.CDO "Climate Data Operators version 1.7.0 (http://mpimet.mpg.de/cdo)";
    String 0p5.title "GPCC Full Data Monthly Product Version 2020, precipitation in mm/month, 0.5 degree";
    String 0p5.CDI "Climate Data Interface version 1.7.0 (http://mpimet.mpg.de/cdi)";
    String 0p5.geospatial_lat_min "-90.";
    String 0p5.long_name "0.5 Degree Resolution";
    String 0p5.creator_email "gpcc@dwd.de";
    String 0p5.creator_url "http://gpcc.dwd.de";
    String 0p5.time_coverage_resolution "month";
    String 0p5.date_created "So 13. Dez 22:59:48 UTC 2020";
    String 0p5.creator_name "GPCC/DWD";
    String 0p5.time_coverage_end "1900-12-01";
    String 0p5.institution "Deutscher Wetterdienst";
    String 0p5.geospatial_lon_max "180.";
    String 0p5.summary "The Full Data Monthly Product is of much higher accuracy compared to the GPCC near real-time products mentioned above. Therefore, its application is recommended for hydrometeorological model verification and water cycle studies, e.g. in context of UNESCO, GEWEX, and GTN-H (Global Terrestrial Network for Hydrology). This analysis product is based on all stations, near real-time and non real-time, in the GPCC data base supplying data for the individual month. The GPCC Full Data Monthly Product Version 2020 covers the period from 1891 to 2019 ; this new extended product version using the new GPCC climatology as analysis background was generated in October 2020. The data coverage per month varies from less than 20,000 to more than 50,000 stations. The full data re-analyses will be updated at irregular time intervals subsequent to significant data base improvements.";
    String 0p5.history "Sun Dec 13 23:00:21 2020: cdo -setgatts,gattfile_05 .//full_data_monthly_v2020_05.nc tmp05.nc Sun Dec 13 22:59:42 2020: cdo -merge .//full_p_v2020_05.nc .//full_s_v2020_05.nc .//full_si_v2020_05.nc .//full_e_v2020_05.nc .//full_ei_v2020_05.nc .//full_d_v2020_05.nc .//full_data_monthly_v2020_05.nc Sun Dec 13 21:02:50 2020: cdo cat tmp05.nc .//full_d_v2020_05.nc Sun Dec 13 21:02:50 2020: cdo -b F32 -r -f nc -setgrid,full05desc.asc -setmissval,-99999.99 -setname,diff_new_old_method -setpartab,codetable.txt -setcode,25 -setdate,1891-01-01 -input,r720x360 tmp05.nc";
    String 0p5.time_coverage_start "1891-01-01";
    String 0p5.geospatial_lon_min "-180.";
    String 0p5.keywords "precipitation climatology,gpcc,global,gpcp,";
    String 0p5.id "full_data_precipitation_05";
    String 0p5.Conventions "CF-1.4";
    String 0p5.geospatial_lat_max "90.";
    String 0p5.CDO "Climate Data Operators version 1.7.0 (http://mpimet.mpg.de/cdo)";
    String 1p0.title "GPCC Full Data Monthly Product Version 2020, precipitation in mm/month, 1.0 degree";
    String 1p0.CDI "Climate Data Interface version 1.7.0 (http://mpimet.mpg.de/cdi)";
    String 1p0.geospatial_lat_min "-90.";
    String 1p0.long_name "1.0 Degree Resolution";
    String 1p0.creator_email "gpcc@dwd.de";
    String 1p0.creator_url "http://gpcc.dwd.de";
    String 1p0.time_coverage_resolution "month";
    String 1p0.date_created "So 13. Dez 22:59:48 UTC 2020";
    String 1p0.creator_name "GPCC/DWD";
    String 1p0.time_coverage_end "1900-12-01";
    String 1p0.institution "Deutscher Wetterdienst";
    String 1p0.geospatial_lon_max "180.";
    String 1p0.summary "The Full Data Monthly Product is of much higher accuracy compared to the GPCC near real-time products mentioned above. Therefore, its application is recommended for hydrometeorological model verification and water cycle studies, e.g. in context of UNESCO, GEWEX, and GTN-H (Global Terrestrial Network for Hydrology). This analysis product is based on all stations, near real-time and non real-time, in the GPCC data base supplying data for the individual month. The GPCC Full Data Monthly Product Version 2020 covers the period from 1891 to 2019 ; this new extended product version using the new GPCC climatology as analysis background was generated in October 2020. The data coverage per month varies from less than 20,000 to more than 50,000 stations. The full data re-analyses will be updated at irregular time intervals subsequent to significant data base improvements.";
    String 1p0.history "Sun Dec 13 23:00:26 2020: cdo -setgatts,gattfile_10 .//full_data_monthly_v2020_10.nc tmp10.nc Sun Dec 13 22:59:47 2020: cdo -merge .//full_p_v2020_10.nc .//full_s_v2020_10.nc .//full_si_v2020_10.nc .//full_e_v2020_10.nc .//full_ei_v2020_10.nc .//full_d_v2020_10.nc .//full_data_monthly_v2020_10.nc Sun Dec 13 21:02:50 2020: cdo cat tmp10.nc .//full_d_v2020_10.nc Sun Dec 13 21:02:50 2020: cdo -b F32 -r -f nc -setgrid,full10desc.asc -setmissval,-99999.99 -setname,diff_new_old_method -setpartab,codetable.txt -setcode,25 -setdate,1891-01-01 -input,r360x180 tmp10.nc";
    String 1p0.time_coverage_start "1891-01-01";
    String 1p0.geospatial_lon_min "-180.";
    String 1p0.keywords "precipitation climatology,gpcc,global,gpcp,";
    String 1p0.id "full_data_precipitation_10";
    String 1p0.Conventions "CF-1.4";
    String 1p0.geospatial_lat_max "90.";
    String 1p0.CDO "Climate Data Operators version 1.7.0 (http://mpimet.mpg.de/cdo)";
    String 2p5.long_name "2.5 Degree Resolution";
}
}