Attributes {
    X {
        String standard_name "longitude";
        String long_name "Longitude";
        Float32 pointwidth 0.25;
        Int32 gridtype 0;
        String units "degree_east";
    }
    Y {
        String long_name "Latitude";
        String standard_name "latitude";
        Float32 pointwidth 0.25;
        Int32 gridtype 0;
        String units "degree_north";
    }
    S {
        String standard_name "forecast_reference_time";
        Int32 pointwidth 0;
        String long_name "Start time";
        String calendar "360";
        Int32 expires 1596240000;
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    C {
        String calendar "standard";
        String long_name "Tercile Categories";
        Int32 gridtype 2;
        String units "ids";
    }
    S_01 {
        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 {
            Int32 pointwidth 0;
            String colorscalename "tercileclassesscale";
            Int32 file_missing_value 0;
            String units "ids";
            Int32 expires 1596240000;
            String history "[   masklt ( { [   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb )   - 1. ] * 11. } , 22 )   +   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Above_Normal )   ] + [   masknotrange ( { [   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb )   - 1. ] * 11. } , 10 , 12 )   +   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Near_Normal )   ]", "  masklt [ ( {   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 22 ]   +   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Above_Normal ]  ", "masklt [ ( {   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 22 ]", "[   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb )   - 1. ] * 11.", "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present", "dominant_class over C[Below_Normal, Above_Normal]", "dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Above_Normal ]", "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present", "dominant_class over TercProb[<35, >80]", "  masknotrange [ ( {   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 10 , 12 ]   +   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Near_Normal ]  ", "masknotrange [ ( {   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 10 , 12 ]", "[   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb )   - 1. ] * 11.", "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present", "dominant_class over C[Below_Normal, Above_Normal]", "dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Near_Normal ]", "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present", "dominant_class over TercProb[<35, >80]", "  maskgt [ ( {   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 0 ]   +   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Below_Normal ]  ", "maskgt [ ( {   dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb ]   - 1. } * 11. ) , 0 ]", "[   dominant_class ( Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb )   - 1. ] * 11.", "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present", "dominant_class over C[Below_Normal, Above_Normal]", "dominant_class [ Madagascar_v3 CPT NDJF total_rainfall Forecast TercProb Below_Normal ]", "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present", "dominant_class over TercProb[<35, >80]";
            Float32 missing_value NaN;
            String fnname "maskle";
            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 CS 1;
            Int32 maxncolor 254;
            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";
            Float32 scale_max 33.0;
            Float32 scale_min 1.0;
            String long_name "Dominant Tercile Probabilities";
            Int32 ncolor 254;
            Int32 CE 33;
        }
        Forecast_prcp {
            Int32 pointwidth 0;
            Int32 expires 1596240000;
            String units "mm";
            String long_name "Precipitation current forecast";
            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";
            String colorscalename "precip_colors";
            Int32 ncolor 254;
            Int32 file_missing_value -9999;
            Float32 missing_value NaN;
        }
        PredErrVar_prcp {
            Int32 pointwidth 0;
            Int32 expires 1596240000;
            String units "mm2";
            String long_name "Precipitation prediction error variance";
            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";
            String colorscalename "precip_colors";
            Int32 ncolor 254;
            Int32 file_missing_value -9999;
            Float32 missing_value NaN;
        }
        target_date {
            String standard_name "forecast_reference_time";
            String bounds "S";
            String calendar "360";
            Int32 expires 1596240000;
            String long_name "forecast time";
            Int32 pointwidth 4;
        }
        TercProb {
            Int32 pointwidth 0;
            Int32 file_missing_value -9999;
            String history "percentiles computed over S:Oct 1981 - Sep 2015 0% min data present";
            Float32 missing_value NaN;
            Int32 expires 1596240000;
            String units "percent";
            Int32 maxncolor 254;
            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 colorscalename "tercileclassesscale";
            Int32 ncolor 254;
            Int32 CS 0;
            Float32 scale_max 100.0;
            Float32 scale_min 0.0;
            Int32 CE 100;
            String long_name "Tercile Probabilities";
        }
    }
    History{
        CrossValPred_prcp {
            String units "mm";
            String long_name "Precipitation cross-validated hindcasts";
            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";
            String colorscalename "precip_colors";
            Int32 ncolor 254;
            Int32 file_missing_value -9999;
            Float32 missing_value NaN;
        }
        hindcast_date {
            String calendar "360";
            String standard_name "forecast_reference_time";
            String long_name "hindcast time";
            Int32 pointwidth 4;
        }
        Input_prcp {
            String units "mm";
            String long_name "Precipitation input observations";
            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";
            String colorscalename "precip_colors";
            Int32 ncolor 254;
            Int32 file_missing_value -9999;
            Float32 missing_value NaN;
        }
        PearsonR_prcp {
            String units "unitless";
            String long_name "Precipitation Pearson's Correlation";
            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 CS -1;
            Float32 scale_max 1.0;
            Float32 scale_min -1.0;
            Int32 CE 1;
        }
    }
NC_GLOBAL {
    String Conventions "IRIDL";
    String description "Forecasts";
    Int32 Forecast.expires 1596240000;
    String Forecast.description "Forecast and Error";
    String History.description "Predicand, Hindcast and Skill";
}
}