Attributes {
    X {
        String standard_name "longitude";
        Float32 pointwidth 0.1;
        String long_name "Longitude";
        Int32 gridtype 0;
        String units "degree_east";
    }
    Y {
        String standard_name "latitude";
        Float32 pointwidth 0.1;
        String long_name "Latitude";
        Int32 gridtype 0;
        String units "degree_north";
    }
    C {
        String calendar "standard";
        String long_name "Tercile Categories";
        Int32 gridtype 2;
        String units "ids";
    }
    S {
        String calendar "360";
        String standard_name "forecast_reference_time";
        Int32 pointwidth 0;
        String long_name "Start time";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    Forecast{
        DomTerProb {
            String colorscalename "precip_colors";
            Int32 file_missing_value 0;
            String units "ids";
            Float32 missing_value NaN;
            String fnname "maskle";
            String history "[   masklt ( { [   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb )   - 1. ] * 11. } , 22 )   +   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal )   ] + [   masknotrange ( { [   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb )   - 1. ] * 11. } , 10 , 12 )   +   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal )   ]", "  masklt [ ( {   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 22 ]   +   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ]  ", "masklt [ ( {   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 22 ]", "[   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb )   - 1. ] * 11.", "percentiles computed over S:Jun 1982 - May 2016 0% min data present", "dominant_class over C[Below_Normal, Above_Normal]", "dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ]", "percentiles computed over S:Jun 1982 - May 2016 0% min data present", "dominant_class over TercProb[<35, >80]", "  masknotrange [ ( {   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 10 , 12 ]   +   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal ]  ", "masknotrange [ ( {   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 10 , 12 ]", "[   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb )   - 1. ] * 11.", "percentiles computed over S:Jun 1982 - May 2016 0% min data present", "dominant_class over C[Below_Normal, Above_Normal]", "dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal ]", "percentiles computed over S:Jun 1982 - May 2016 0% min data present", "dominant_class over TercProb[<35, >80]", "  maskgt [ ( {   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 0 ]   +   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Below_Normal ]  ", "maskgt [ ( {   dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 0 ]", "[   dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb )   - 1. ] * 11.", "percentiles computed over S:Jun 1982 - May 2016 0% min data present", "dominant_class over C[Below_Normal, Above_Normal]", "dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Below_Normal ]", "percentiles computed over S:Jun 1982 - May 2016 0% min data present", "dominant_class over TercProb[<35, >80]";
            String CLIST "<35 Below", "35-40 Below", "40-45 Below", "45-50 Below", "50-55 Below", "55-60 Below", "60-65 Below", "65-70 Below", "70-75 Below", "75-80 Below", ">80 Below", "<35 Normal", "35-40 Normal", "40-45 Normal", "45-50 Normal", "50-55 Normal", "55-60 Normal", "60-65 Normal", "65-70 Normal", "70-75 Normal", "75-80 Normal", ">80 Normal", "<35 Above", "35-40 Above", "40-45 Above", "45-50 Above", "50-55 Above", "55-60 Above", "60-65 Above", "65-70 Above", "70-75 Above", "75-80 Above", ">80 Above";
            Int32 CE 33;
            Int32 CS 1;
            Int32 ncolor 254;
            Float32 scale_max 33.0;
            Int32 maxncolor 254;
            Float32 scale_min 1.0;
            String colormap "null", "16777215", "16777215", "16777215", "16777215", "7", "65535", "255", "71", "255", "255", "7", "16777215", "16777215", "8", "12632256", "6908265", "71", "6908265", "6908265", "7", "16777215", "16777215", "8", "10025880", "25600", "71", "25600";
            String long_name "Dominant Tercile Probabilities";
        }
        Forecast_prcp {
            Float32 missing_value -999.0;
            String long_name "Precipitation current forecast";
            String units "mm";
            Int32 ncolor 254;
            String colorscalename "precip_colors";
            Int32 maxncolor 254;
            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 CS 0;
            Float32 scale_min 0.0;
        }
        PredErrVar_prcp {
            Float32 missing_value -999.0;
            String long_name "Precipitation prediction error variance";
            String units "mm2";
            Int32 ncolor 254;
            String colorscalename "precip_colors";
            Int32 maxncolor 254;
            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 CS 0;
            Float32 scale_min 0.0;
        }
        TercProb {
            String colorscalename "precip_colors";
            Float32 file_missing_value -999.0;
            Float32 missing_value NaN;
            String history "percentiles computed over S:Jun 1982 - May 2016 0% min data present";
            String units "percent";
            Int32 CE 100;
            Int32 CS 0;
            Int32 ncolor 254;
            Float32 scale_max 100.0;
            Int32 maxncolor 254;
            Float32 scale_min 0.0;
            String colormap "null", "16777215", "16777184", "16777184", "44", "15658671", "15658671", "13", "13153410", "13153410", "12", "11834980", "11834980", "13", "12632256", "12632256", "2019940", "2019940", "10", "59045", "59045", "13", "65480", "65480", "12", "65535", "65535", "13", "54015", "54015", "12", "2139647", "2139647", "13", "2115034", "2115034", "12", "6303920", "83", "6303920";
            String long_name "Tercile Probabilities";
        }
    }
    History{
        CrossValPred_prcp {
            String long_name "Precipitation cross-validated hindcasts";
            Float32 missing_value -999.0;
            String units "mm";
            Int32 ncolor 254;
            String colorscalename "precip_colors";
            Int32 maxncolor 254;
            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 CS 0;
            Float32 scale_min 0.0;
        }
        hindcast_date {
            String calendar "360";
            String standard_name "forecast_reference_time";
            Int32 pointwidth 4;
            String long_name "hindcast time";
        }
        Input_prcp {
            String long_name "Precipitation input observations";
            Float32 missing_value -999.0;
            String units "mm";
            Int32 ncolor 254;
            String colorscalename "precip_colors";
            Int32 maxncolor 254;
            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 CS 0;
            Float32 scale_min 0.0;
        }
        PearsonR_prcp {
            String long_name "Precipitation Pearson's Correlation";
            String units "unitless";
            String colorscalename "correlationcolorscale";
            Int32 maxncolor 254;
            Int32 ncolor 254;
            String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
            Int32 CE 1;
            Int32 CS -1;
            Float32 scale_max 1.0;
            Float32 scale_min -1.0;
        }
    }
NC_GLOBAL {
    String Conventions "IRIDL";
    String description "Forecasts";
    String Forecast.description "Forecast and Error";
    String History.description "Predicand, Hindcast and Skill";
}
}