Attributes {
    T {
        String calendar "360";
        String standard_name "time";
        Float32 pointwidth 1.0;
        String long_name "Time";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    X {
        String standard_name "longitude";
        String long_name "Longitude";
        Float32 pointwidth 0.5;
        Int32 gridtype 1;
        String units "degree_east";
    }
    Y {
        String long_name "Latitude";
        String standard_name "latitude";
        Float32 pointwidth 0.5;
        Int32 gridtype 0;
        String units "degree_north";
    }
    gauge_precip {
        Float32 pointwidth 1.0;
        Float32 missing_value -99999.0;
        Float32 valid_min 0.0;
        Float32 valid_max 100.0;
        String units "mm/day";
        String long_name "wind-loss adjusted gauge precipitation";
        Float32 scale_min 0.0;
        Int32 CS 0;
    }
    gauge_relative_weight {
        Float32 pointwidth 1.0;
        Int32 missing_value -9999;
        Int32 valid_min 0;
        Int32 valid_max 100;
        String units "percent";
        String long_name "gauge relative weighting";
        Int32 scale_min 0;
        Int32 CS 0;
        Int32 CE 100;
        Int32 scale_max 100;
    }
    probability_liquid_phase {
        Float32 pointwidth 1.0;
        Int32 missing_value -9999;
        Int32 valid_min 0;
        Int32 valid_max 100;
        String units "percent";
        String long_name "probability of liquid phase";
    }
    quality_index {
        Float32 pointwidth 1.0;
        Float32 missing_value -99999.0;
        Float32 valid_min 0.0;
        Float32 valid_max 700.0;
        String units "unitless";
        String long_name "quality index";
    }
    sat_gauge_error {
        Float32 pointwidth 1.0;
        Float32 missing_value -99999.0;
        Float32 valid_min 0.0;
        Float32 valid_max 100.0;
        String units "mm/day";
        String long_name "combined satellite-gauge precipitation random error";
        Float32 scale_min 0.0;
        Int32 CS 0;
    }
    sat_gauge_precip {
        Float32 pointwidth 1.0;
        Float32 missing_value -99999.0;
        Float32 valid_min 0.0;
        Float32 valid_max 100.0;
        String units "mm/day";
        String long_name "combined satellite-gauge precipitation";
        Float32 scale_min 0.0;
        Int32 CS 0;
    }
    satellite_precip {
        Float32 pointwidth 1.0;
        Float32 missing_value -99999.0;
        Float32 valid_min 0.0;
        Float32 valid_max 100.0;
        String units "mm/day";
        String long_name "multisatellite precipitation";
        Float32 scale_min 0.0;
        Int32 CS 0;
    }
    satellite_source {
        Float32 pointwidth 1.0;
        String long_name "satellite source index";
        Float32 missing_value NaN;
        String CLIST "IR", "IR_AIRS_blend", "AIRS";
        String units "ids";
        String colormap "null", "16711680", "16711680", "255", "65535", "65535";
        Int32 CE 3;
        Float32 scale_min 1.0;
        Int32 CS 1;
        Int32 ncolor 6;
        Float32 scale_max 3.0;
        Int32 maxncolor 254;
    }
NC_GLOBAL {
    String Dataset_Release_Place "Greenbelt, MD, USA";
    String Dataset_Creator "George J. Huffman and David T. Bolvin";
    String Title "GPCP Precipitation Level 3 Monthly 0.5-Degree V3.2";
    String Data_Center_LongName "Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC),Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA";
    String Distribution_Format "NetCDF-4";
    String Entry_Title "GPCP Precipitation Level 3 Monthly 0.5-Degree V3.2 (GPCPMON) at GES DISC";
    URL webpage "https://disc.gsfc.nasa.gov/datasets/GPCPMON_3.2/summary?keywords=GPCPMON_3.2";
    String Data_Center_Last_Name "GES DISC help Desk Support Group";
    String Data_Presentation_Form "Digital Science Data";
    String VersionID "3.2";
    String MapProjection "Cylindrical Equidistant";
    String Data_Center_ShortName "NASA/GSFC/SED/ESD/GCDC/GESDISC";
    String RelatedURL "https://earthdata.nasa.gov/esds/competitive-programs/measures/long-term-gpcp-precipitation";
    String DataSetQuality "A rudimentary estimate of the quality of the precipitation estimates is provided in the combined satellite-gauge precipitation random error field.  The method used to estimate the random error is based on the technique described in Huffman (1997).  In general, estimating meaningful error is a difficult prospect and is currently the subject of  intensive research.  Since inception, the GPCP has strived to maintain CDR standards in all its data sets, despite not officially being a CDR.  Homogeneity in the record takes precedence over instantaneous accuracy.  Over the long-term, GPCP represents the current state of the art.  GPCP estimates are most accurate in the tropics, and less so in the subtropics and mid-latitudes.  Above 58N and below 58S, the estimates are more approximate.  High-quality gauge analyses are incorporated to vastly improve the estimates over land.  Note that the land estimates are of lesser quality in the more challenging regions such as complex terrain and snow and ice covered surfaces.  The GPCP estimates are most appropriate for studies where a long record is necessary, but less useful for short-interval studies and the examination of extremes.";
    String Data_Center_URL "https://disc.gsfc.nasa.gov/";
    String ProcessingLevel "Level 3";
    String Entry_ID "GPCPMON_3.2";
    String Dataset_Publisher "Goddard Earth Sciences Data and Information Services Center (GES DISC)";
    String IdentifierProductDOI "10.5067/MEASURES/GPCP/DATA304";
    String Dataset_Series_Name "GPCPMON";
    String LongName "GPCP Precipitation Level 3 Monthly 0.5-Degree V3.2";
    String ISO_Topic_Category "Climatology/Meteorology/Atmosphere";
    String Source "The input satellite data sources can be found in the satellite source index field.  Note that gauge analyses are always included over land.";
    String Distribution_Media "Online Archive";
    String Data_Center_Address "Goddard Earth Sciences Data and Information Services Center, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA";
    String Summary "The Global Precipitation Climatology Project (GPCP) is the precipitation component of an internationally coordinated set of (mainly) satellite-based global products dealing with the Earth\'s water and energy cycles, under the auspices of the Global Water and Energy Experiment (GEWEX) Data and Assessment Panel (GDAP) of the World Climate Research Program.  As the follow on to the GPCP Version 2.X products, GPCP Version 3 (GPCP V3.2) seeks to continue the long, homogeneous precipitation record using modern merging techniques and input data sets.  The GPCPV3 suite currently consists the 0.5-degree monthly and daily products.  A follow-on 0.1-degree 3-hourly is expected.  All GPCPV3 products will be internally consistent. The monthly product spans 1983 - 2020. Inputs consist of the GPROF SSMI/SSMIS orbit files that are used to calibrate the PERSIANN-CDR IR-based precipitation in the span 60NS, which are in turn calibrated to the monthly 2.5-degree METH product.  The METH-GPROF-adjusted PERSIANN-CDR IR estimates are then climatologically adjusted to the blended TCC/MCTG.  Outside of 58NS, TOVS/AIRS estimates, adjusted climatologically to the MCTG, are used.  The PERSIANN-CDR / TOVS/AIRS estimates are then merged in the region 35NS-58NS, which are then merged with GPCC gauge analyses over land to obtain the final product. In addition to the final precipitation field, ancillary precipitation and error estimates are provided.";
    String Data_Center_Role "DATA CENTER CONTACT";
    String Institution "Mesoscale Atmospheric Processes Laboratory, NASA GSFC";
    String Dataset_Title "GPCP Precipitation Level 3 Monthly 0.5-Degree V3.2";
    String Conventions "CF-1.5";
    String Science_Keywords "EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE";
    String Validation_Data "Validation of the GPCPV3 data sets is currently in process.  Previous validation efforts for GPCPV2.2 included comparisons with high-density rain gauge data sets (not part of the GPCC gauge analysis) and PACRAIN atoll gauges.";
    String Use_Constraints "This data set continues to be validated. Please contact George Huffman, email: george.j.huffman@nasa.gov, for current known problems and updates.";
    String Data_Set_Progress "Stable Version";
    String Data_Center_Email "gsfc-dl-help-disc@mail.nasa.gov";
}
}