Attributes {
    Y {
        String standard_name "latitude";
        Float32 pointwidth 2.5;
        Int32 gridtype 0;
        String units "degree_north";
    }
    X {
        String standard_name "longitude";
        Float32 pointwidth 2.5;
        Int32 gridtype 1;
        String units "degree_east";
    }
    T {
        String standard_name "time";
        Float32 pointwidth 1.0;
        String calendar "360";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    diff_new_old_method {
        String units "mm/month";
        Int32 code 25;
        String long_name "Difference of New Minus Old Interpolation Method per Grid";
        Float32 missing_value -99999.992;
    }
    infilled_numgauges {
        String units "gauges per grid";
        Int32 code 23;
        String long_name "Number of Infilled Stations per Grid";
        Float32 missing_value -99999.992;
    }
    interpolation_error {
        String units "mm/month";
        Int32 code 22;
        String long_name "Interpolation Error (YAMAMOTO) Without Infilled Stations per Grid";
        Float32 missing_value -99999.992;
    }
    interpolation_error_infilled {
        String units "mm/month";
        Int32 code 24;
        String long_name "Interpolation Error (YAMAMOTO) With Infilled Stations per Grid";
        Float32 missing_value -99999.992;
    }
    numgauge {
        String units "gauges per grid";
        Int32 code 21;
        String long_name "Number of Stations per Grid";
        Float32 missing_value -99999.992;
    }
    prcp {
        String units "mm/month";
        String standard_name "lwe_precipitation_rate";
        Int32 code 20;
        String long_name "Total Precipitation";
        Float32 missing_value -99999.992;
    }
NC_GLOBAL {
    String date_created "Mi 30. Mai 07:01:41 UTC 2018";
    String institution "Deutscher Wetterdienst";
    String 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 2018 covers the period from 1891 to 2016 ; this new extended product version using the new GPCC climatology as analysis background was generated in May 2018. The data coverage per month varies from less than 10,000 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 time_coverage_end "2016-12-01";
    String creator_email "gpcc@dwd.de";
    String time_coverage_start "1891-01-01";
    String id "full_data_precipitation_25";
    String keywords "precipitation climatology,gpcc,global,gpcp,";
    String CDI "Climate Data Interface version 1.7.0 (http://mpimet.mpg.de/cdi)";
    String title "GPCC Full Data Monthly Product Version 2018, at 2.5 Degree Resolution Monthly Land Surface Precipitation from Rain Gauges";
    String Conventions "CF-1.4";
    String geospatial_lon_min "-180.";
    URL data description "ftp://ftp.dwd.de/pub/data/gpcc/html/fulldata-monthly_v2018_doi_download.html";
    String geospatial_lat_max "90.";
    String geospatial_lon_max "180.";
    String creator_url "http://gpcc.dwd.de";
    String long_name "2.5 Degree Resolution";
    String geospatial_lat_min "-90.";
    String time_coverage_resolution "month";
    String citation "Schneider, Udo; Becker, Andreas; Finger, Peter; Meyer-Christoffer, Anja; Ziese, Markus (2018): GPCC Full Data Monthly Product Version 2018 at 2.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. DOI: 10.5676/DWD_GPCC/FD_M_V2018_250";
    String CDO "Climate Data Operators version 1.7.0 (http://mpimet.mpg.de/cdo)";
    String creator_name "GPCC/DWD";
}
}