Attributes {
    S {
        String calendar "360";
        String standard_name "forecast_reference_time";
        Int32 pointwidth 0;
        String long_name "Hecho en";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    X {
        String standard_name "longitude";
        Float32 pointwidth 0.1;
        String long_name "Longitud";
        Int32 gridtype 0;
        String units "degree_east";
    }
    L {
        Int32 pointwidth 0;
        String long_name "Forecast Lead Time in Months";
        Int32 gridtype 0;
        String units "months";
    }
    Y {
        Float32 pointwidth 0.1;
        String standard_name "latitude";
        String long_name "Latitud";
        Int32 gridtype 0;
        String units "degree_north";
    }
    C {
        String long_name "Categorias";
        Int32 gridtype 2;
        String units "ids";
    }
    Y_01 {
        Float32 pointwidth 0.1;
        String standard_name "latitude";
        String long_name "Latitud";
        Int32 gridtype 0;
        String units "degree_north";
    }
    S_01 {
        Float32 pointwidth 0.0;
        String calendar "360";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    S_02 {
        Float32 modulus 12.0;
        Float32 modulo 12.0;
        Float32 pointwidth 1.0;
        String calendar "360";
        Int32 gridtype 1;
        String units "months since 01-Jan";
    }
    Models{
        CanSIPS-IC3{
            Forecast{
                Mu {
                    String long_name "Pronóstico";
                    Float32 missing_value -999.0;
                    String units "mm/dia";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    String colormap "null", "12632256", "12632256", "12632256", "12632256", "42495", "42495", "10", "65535", "65535", "13", "7405514", "7405514", "25", "5950882", "5950882", "25", "52582", "52582", "50", "2263842", "2263842", "125", "25600";
                    Float32 scale_max 500.0;
                    Int32 CE 500;
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PredErrorVars {
                    String units "mm2/day2";
                    Float32 missing_value -999.0;
                    String long_name "prediction error variance";
                    Int32 ncolor 254;
                    Int32 maxncolor 256;
                    String colormap "null", "1973790", "16711680", "16776960", "51", "65280", "51", "65535", "51", "255", "51", "16711935", "51", "12632256";
                    String colorscalename "rainbowcolorscale";
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PROB_FCST {
                    String long_name "Probabilidades - Categorías";
                    String units "percent";
                    Float32 missing_value -1.0;
                    Float32 scale_max 100.0;
                    Int32 CE 100;
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PROBABILITIES {
                    String colorscalename "halfgreyscale";
                    Int32 file_missing_value 0;
                    String units "ids";
                    Float32 missing_value NaN;
                    String fnname "maskle";
                    String history "[   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Sobre )   +   masklt ( { [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST )   - 1. ] * 11. } , 22 )   ] + [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Normal )   +   masknotrange ( { [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST )   - 1. ] * 11. } , 10 , 12 )   ]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Sobre ]   +   masklt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST ]   - 1. } * 11. ) , 22 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Sobre ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masklt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST ]   - 1. } * 11. ) , 22 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Normal ]   +   masknotrange [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST ]   - 1. } * 11. ) , 10 , 12 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Normal ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masknotrange [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST ]   - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Bajo ]   +   maskgt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST ]   - 1. } * 11. ) , 0 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST Bajo ]", "dominant_class over PROB_FCST[≤35, ≥80]", "maskgt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models CanSIPS-IC3 Forecast PROB_FCST ]   - 1. } * 11. ) , 0 ]", "dominant_class over C[Bajo, Sobre]";
                    String CLIST "≤35 Bajo", "35-40 Bajo", "40-45 Bajo", "45-50 Bajo", "50-55 Bajo", "55-60 Bajo", "60-65 Bajo", "65-70 Bajo", "70-75 Bajo", "75-80 Bajo", "≥80 Bajo", "≤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 Sobre", "35-40 Sobre", "40-45 Sobre", "45-50 Sobre", "50-55 Sobre", "55-60 Sobre", "60-65 Sobre", "65-70 Sobre", "70-75 Sobre", "75-80 Sobre", "≥80 Sobre";
                    Float32 scale_max 33.0;
                    Int32 ncolor 254;
                    Int32 CE 33;
                    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_min 1.0;
                    String long_name " Probabilidades";
                }
                target_date {
                    String standard_name "forecast_reference_time";
                    String calendar "360";
                    String units "months since 1960-01-01";
                    Int32 pointwidth 3;
                    String long_name "forecast time";
                }
                target_length {
                    Float32 pointwidth 1.0;
                    String calendar "360";
                    Float32 missing_value NaN;
                    String history "Averaged in T with overlapping interval 3";
                    String units "days";
                    String long_name "Length of forecast time";
                }
            }
            History{
                CrossValHind {
                    String units "mm/dia";
                    Float32 missing_value -999.0;
                    String long_name "Procentaje de la mediana ";
                    Float32 scale_max 16.0;
                    Int32 ncolor 254;
                    Int32 CE 16;
                    Int32 CS 0;
                    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";
                    Float32 scale_min 0.0;
                    String colorscalename "precip_colors";
                }
                hindcast_date {
                    String calendar "360";
                    String units "months since 1960-01-01";
                    Int32 pointwidth 3;
                    String long_name "hindcast time";
                }
                hindcast_length {
                    Float32 pointwidth 1.0;
                    String calendar "360";
                    Float32 missing_value NaN;
                    String history "Averaged in T with overlapping interval 3";
                    String units "days";
                    String long_name "Length of hindcast time";
                }
                InputObs {
                    String units "mm/dia";
                    Float32 missing_value -999.0;
                    String long_name "input observations";
                    Int32 ncolor 254;
                    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 CS 0;
                    Float32 scale_min 0.0;
                }
            }
            Skill{
                2AFC {
                    String long_name "2AFC - CCA Deterministic Hindcasts";
                    Float32 missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                ROCAbove {
                    String long_name "ROC Above -  CCA Deterministic Hindcasts";
                    Float32 missing_value NaN;
                    Int32 file_missing_value -999;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                ROCBelow {
                    String long_name "ROC Below -  CCA Deterministic Hindcasts";
                    Float32 missing_value NaN;
                    Float32 file_missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                Spearman {
                    String long_name "Spearman - CCA Deterministic Hindcasts";
                    Float32 missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 1.0;
                    Float32 CE 1.0;
                    Float32 CS -1.0;
                    Float32 scale_min -1.0;
                }
            }
        }
        COLA-RSMAS-CCSM4{
            Forecast{
                Mu {
                    String long_name "Pronóstico";
                    Float32 missing_value -999.0;
                    String units "mm/dia";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    String colormap "null", "12632256", "12632256", "12632256", "12632256", "42495", "42495", "10", "65535", "65535", "13", "7405514", "7405514", "25", "5950882", "5950882", "25", "52582", "52582", "50", "2263842", "2263842", "125", "25600";
                    Float32 scale_max 500.0;
                    Int32 CE 500;
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PredErrorVars {
                    String units "mm2/day2";
                    Float32 missing_value -999.0;
                    String long_name "prediction error variance";
                    Int32 ncolor 254;
                    Int32 maxncolor 256;
                    String colormap "null", "1973790", "16711680", "16776960", "51", "65280", "51", "65535", "51", "255", "51", "16711935", "51", "12632256";
                    String colorscalename "rainbowcolorscale";
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PROB_FCST {
                    String long_name "Probabilidades - Categorías";
                    String units "percent";
                    Float32 missing_value -1.0;
                    Float32 scale_max 100.0;
                    Int32 CE 100;
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PROBABILITIES {
                    String colorscalename "halfgreyscale";
                    Int32 file_missing_value 0;
                    String units "ids";
                    Float32 missing_value NaN;
                    String fnname "maskle";
                    String history "[   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Sobre )   +   masklt ( { [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST )   - 1. ] * 11. } , 22 )   ] + [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Normal )   +   masknotrange ( { [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST )   - 1. ] * 11. } , 10 , 12 )   ]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Sobre ]   +   masklt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ]   - 1. } * 11. ) , 22 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Sobre ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masklt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ]   - 1. } * 11. ) , 22 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Normal ]   +   masknotrange [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ]   - 1. } * 11. ) , 10 , 12 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Normal ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masknotrange [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ]   - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Bajo ]   +   maskgt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ]   - 1. } * 11. ) , 0 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Bajo ]", "dominant_class over PROB_FCST[≤35, ≥80]", "maskgt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ]   - 1. } * 11. ) , 0 ]", "dominant_class over C[Bajo, Sobre]";
                    String CLIST "≤35 Bajo", "35-40 Bajo", "40-45 Bajo", "45-50 Bajo", "50-55 Bajo", "55-60 Bajo", "60-65 Bajo", "65-70 Bajo", "70-75 Bajo", "75-80 Bajo", "≥80 Bajo", "≤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 Sobre", "35-40 Sobre", "40-45 Sobre", "45-50 Sobre", "50-55 Sobre", "55-60 Sobre", "60-65 Sobre", "65-70 Sobre", "70-75 Sobre", "75-80 Sobre", "≥80 Sobre";
                    Float32 scale_max 33.0;
                    Int32 ncolor 254;
                    Int32 CE 33;
                    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_min 1.0;
                    String long_name " Probabilidades";
                }
                target_date {
                    String standard_name "forecast_reference_time";
                    String calendar "360";
                    String units "months since 1960-01-01";
                    Int32 pointwidth 3;
                    String long_name "forecast time";
                }
                target_length {
                    Float32 pointwidth 1.0;
                    String calendar "360";
                    Float32 missing_value NaN;
                    String history "Averaged in T with overlapping interval 3";
                    String units "days";
                    String long_name "Length of forecast time";
                }
            }
            History{
                CrossValHind {
                    String units "mm/dia";
                    Float32 missing_value -999.0;
                    String long_name "Procentaje de la mediana ";
                    Float32 scale_max 16.0;
                    Int32 ncolor 254;
                    Int32 CE 16;
                    Int32 CS 0;
                    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";
                    Float32 scale_min 0.0;
                    String colorscalename "precip_colors";
                }
                hindcast_date {
                    String calendar "360";
                    String units "months since 1960-01-01";
                    Int32 pointwidth 3;
                    String long_name "hindcast time";
                }
                hindcast_length {
                    Float32 pointwidth 1.0;
                    String calendar "360";
                    Float32 missing_value NaN;
                    String history "Averaged in T with overlapping interval 3";
                    String units "days";
                    String long_name "Length of hindcast time";
                }
                InputObs {
                    String units "mm/dia";
                    Float32 missing_value -999.0;
                    String long_name "input observations";
                    Int32 ncolor 254;
                    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 CS 0;
                    Float32 scale_min 0.0;
                }
            }
            Skill{
                2AFC {
                    String long_name "2AFC - CCA Deterministic Hindcasts";
                    Float32 missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                ROCAbove {
                    String long_name "ROC Above -  CCA Deterministic Hindcasts";
                    Float32 missing_value NaN;
                    Int32 file_missing_value -999;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                ROCBelow {
                    String long_name "ROC Below -  CCA Deterministic Hindcasts";
                    Float32 missing_value NaN;
                    Float32 file_missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                Spearman {
                    String long_name "Spearman - CCA Deterministic Hindcasts";
                    Float32 missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 1.0;
                    Float32 CE 1.0;
                    Float32 CS -1.0;
                    Float32 scale_min -1.0;
                }
            }
        }
        NASA-GEOSS2S{
            Forecast{
                Mu {
                    String long_name "Pronóstico";
                    Float32 missing_value -999.0;
                    String units "mm/dia";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    String colormap "null", "12632256", "12632256", "12632256", "12632256", "42495", "42495", "10", "65535", "65535", "13", "7405514", "7405514", "25", "5950882", "5950882", "25", "52582", "52582", "50", "2263842", "2263842", "125", "25600";
                    Float32 scale_max 500.0;
                    Int32 CE 500;
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PredErrorVars {
                    String units "mm2/day2";
                    Float32 missing_value -999.0;
                    String long_name "prediction error variance";
                    Int32 ncolor 254;
                    Int32 maxncolor 256;
                    String colormap "null", "1973790", "16711680", "16776960", "51", "65280", "51", "65535", "51", "255", "51", "16711935", "51", "12632256";
                    String colorscalename "rainbowcolorscale";
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PROB_FCST {
                    String long_name "Probabilidades - Categorías";
                    String units "percent";
                    Float32 missing_value -1.0;
                    Float32 scale_max 100.0;
                    Int32 CE 100;
                    Int32 CS 0;
                    Float32 scale_min 0.0;
                }
                PROBABILITIES {
                    String colorscalename "halfgreyscale";
                    Int32 file_missing_value 0;
                    String units "ids";
                    Float32 missing_value NaN;
                    String fnname "maskle";
                    String history "[   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Sobre )   +   masklt ( { [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST )   - 1. ] * 11. } , 22 )   ] + [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Normal )   +   masknotrange ( { [   dominant_class ( NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST )   - 1. ] * 11. } , 10 , 12 )   ]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Sobre ]   +   masklt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST ]   - 1. } * 11. ) , 22 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Sobre ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masklt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST ]   - 1. } * 11. ) , 22 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Normal ]   +   masknotrange [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST ]   - 1. } * 11. ) , 10 , 12 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Normal ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masknotrange [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST ]   - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Bajo ]   +   maskgt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST ]   - 1. } * 11. ) , 0 ]  ", "dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST Bajo ]", "dominant_class over PROB_FCST[≤35, ≥80]", "maskgt [ ( {   dominant_class [ NextGen CPT 0p1 Guatemala V3 Models NASA-GEOSS2S Forecast PROB_FCST ]   - 1. } * 11. ) , 0 ]", "dominant_class over C[Bajo, Sobre]";
                    String CLIST "≤35 Bajo", "35-40 Bajo", "40-45 Bajo", "45-50 Bajo", "50-55 Bajo", "55-60 Bajo", "60-65 Bajo", "65-70 Bajo", "70-75 Bajo", "75-80 Bajo", "≥80 Bajo", "≤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 Sobre", "35-40 Sobre", "40-45 Sobre", "45-50 Sobre", "50-55 Sobre", "55-60 Sobre", "60-65 Sobre", "65-70 Sobre", "70-75 Sobre", "75-80 Sobre", "≥80 Sobre";
                    Float32 scale_max 33.0;
                    Int32 ncolor 254;
                    Int32 CE 33;
                    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_min 1.0;
                    String long_name " Probabilidades";
                }
                target_date {
                    String standard_name "forecast_reference_time";
                    String calendar "360";
                    String units "months since 1960-01-01";
                    Int32 pointwidth 3;
                    String long_name "forecast time";
                }
                target_length {
                    Float32 pointwidth 1.0;
                    String calendar "360";
                    Float32 missing_value NaN;
                    String history "Averaged in T with overlapping interval 3";
                    String units "days";
                    String long_name "Length of forecast time";
                }
            }
            History{
                CrossValHind {
                    String units "mm/dia";
                    Float32 missing_value -999.0;
                    String long_name "Procentaje de la mediana ";
                    Float32 scale_max 16.0;
                    Int32 ncolor 254;
                    Int32 CE 16;
                    Int32 CS 0;
                    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";
                    Float32 scale_min 0.0;
                    String colorscalename "precip_colors";
                }
                hindcast_date {
                    String calendar "360";
                    String units "months since 1960-01-01";
                    Int32 pointwidth 3;
                    String long_name "hindcast time";
                }
                hindcast_length {
                    Float32 pointwidth 1.0;
                    String calendar "360";
                    Float32 missing_value NaN;
                    String history "Averaged in T with overlapping interval 3";
                    String units "days";
                    String long_name "Length of hindcast time";
                }
                InputObs {
                    String units "mm/dia";
                    Float32 missing_value -999.0;
                    String long_name "input observations";
                    Int32 ncolor 254;
                    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 CS 0;
                    Float32 scale_min 0.0;
                }
            }
            Skill{
                2AFC {
                    String long_name "2AFC - CCA Deterministic Hindcasts";
                    Float32 missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                ROCAbove {
                    String long_name "ROC Above -  CCA Deterministic Hindcasts";
                    Float32 missing_value NaN;
                    Int32 file_missing_value -999;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                ROCBelow {
                    String long_name "ROC Below -  CCA Deterministic Hindcasts";
                    Float32 missing_value NaN;
                    Float32 file_missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 100.0;
                    Float32 CE 100.0;
                    Float32 CS 0.0;
                    Float32 scale_min 0.0;
                }
                Spearman {
                    String long_name "Spearman - CCA Deterministic Hindcasts";
                    Float32 missing_value -999.0;
                    String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                    String colorscalename "correlationcolorscale";
                    Int32 ncolor 254;
                    Int32 maxncolor 254;
                    Float32 scale_max 1.0;
                    Float32 CE 1.0;
                    Float32 CS -1.0;
                    Float32 scale_min -1.0;
                }
            }
        }
    }
    NextGen{
        Forecast{
            Forecast {
                String long_name "Pronóstico";
                Int32 ncolor 254;
                Int32 maxncolor 254;
                String colormap "null", "12632256", "12632256", "12632256", "12632256", "42495", "42495", "10", "65535", "65535", "13", "7405514", "7405514", "25", "5950882", "5950882", "25", "52582", "52582", "50", "2263842", "2263842", "125", "25600";
                Float32 file_missing_value -999.0;
                Float32 missing_value NaN;
                String units "mm";
            }
            PredErrorVars {
                Int32 ncolor 254;
                Int32 maxncolor 256;
                String colormap "null", "1973790", "16711680", "16776960", "51", "65280", "51", "65535", "51", "255", "51", "16711935", "51", "12632256";
                String colorscalename "rainbowcolorscale";
                Float32 file_missing_value -999.0;
                Float32 missing_value NaN;
                String units "1.33959190672154e-19 meter3 second-2";
                String long_name "prediction error variance";
            }
            Probabilities {
                String colorscalename "halfgreyscale";
                Int32 file_missing_value 0;
                String units "ids";
                Float32 missing_value NaN;
                String fnname "maskle";
                String history "[   dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Sobre )   +   masklt ( { [   dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories )   - 1. ] * 11. } , 22 )   ] + [   dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Normal )   +   masknotrange ( { [   dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories )   - 1. ] * 11. } , 10 , 12 )   ]", "  dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Sobre ]   +   masklt [ ( {   dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories ]   - 1. } * 11. ) , 22 ]  ", "dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Sobre ]", "dominant_class over Probabilities-Categories[≤35, ≥80]", "masklt [ ( {   dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories ]   - 1. } * 11. ) , 22 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Normal ]   +   masknotrange [ ( {   dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories ]   - 1. } * 11. ) , 10 , 12 ]  ", "dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Normal ]", "dominant_class over Probabilities-Categories[≤35, ≥80]", "masknotrange [ ( {   dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories ]   - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Bajo, Sobre]", "  dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Bajo ]   +   maskgt [ ( {   dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories ]   - 1. } * 11. ) , 0 ]  ", "dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories Bajo ]", "dominant_class over Probabilities-Categories[≤35, ≥80]", "maskgt [ ( {   dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V3 NextGen Forecast Probabilities-Categories ]   - 1. } * 11. ) , 0 ]", "dominant_class over C[Bajo, Sobre]";
                String CLIST "≤35 Bajo", "35-40 Bajo", "40-45 Bajo", "45-50 Bajo", "50-55 Bajo", "55-60 Bajo", "60-65 Bajo", "65-70 Bajo", "70-75 Bajo", "75-80 Bajo", "≥80 Bajo", "≤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 Sobre", "35-40 Sobre", "40-45 Sobre", "45-50 Sobre", "50-55 Sobre", "55-60 Sobre", "60-65 Sobre", "65-70 Sobre", "70-75 Sobre", "75-80 Sobre", "≥80 Sobre";
                Float32 scale_max 33.0;
                Int32 ncolor 254;
                Int32 CE 33;
                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_min 1.0;
                String long_name " Probabilidades";
            }
            Probabilities-Categories {
                String long_name "Probabilidades - Categorías";
                Float32 file_missing_value -1.0;
                String units "percent";
                Float32 missing_value -1.0;
            }
            Var {
                Int32 ncolor 254;
                Int32 maxncolor 256;
                String colormap "null", "1973790", "16711680", "16776960", "51", "65280", "51", "65535", "51", "255", "51", "16711935", "51", "12632256";
                String colorscalename "rainbowcolorscale";
                Float32 file_missing_value -999.0;
                Float32 missing_value NaN;
                String units "mm2/day2";
                String long_name "Var";
            }
        }
        History{
            CrossValHind {
                String long_name "Procentaje de la mediana ";
                Int32 ncolor 254;
                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";
                Float32 file_missing_value -999.0;
                Float32 missing_value NaN;
                String units "mm";
            }
            InputObs {
                String long_name "input observations";
                Int32 ncolor 254;
                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";
                Float32 file_missing_value -999.0;
                Float32 missing_value NaN;
                String units "mm";
            }
        }
        Skill{
            2AFC {
                String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                String colorscalename "correlationcolorscale";
                Int32 ncolor 254;
                Int32 maxncolor 254;
                Int32 file_missing_value -999;
                String units "unitless";
                Float32 missing_value -999.0;
                Float32 scale_max 100.0;
                Float32 CE 100.0;
                Float32 CS 0.0;
                Float32 scale_min 0.0;
                String long_name "2AFC";
            }
            ROCAbove {
                Int32 file_missing_value -999;
                String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                String colorscalename "correlationcolorscale";
                Int32 ncolor 254;
                Int32 maxncolor 254;
                String units "unitless";
                Float32 missing_value -999.0;
                Float32 scale_max 100.0;
                Float32 CE 100.0;
                Float32 CS 0.0;
                Float32 scale_min 0.0;
                String long_name "ROC Above";
            }
            ROCBelow {
                Float32 file_missing_value -999.0;
                String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                String colorscalename "correlationcolorscale";
                Int32 ncolor 254;
                Int32 maxncolor 254;
                String units "unitless";
                Float32 missing_value -999.0;
                Float32 scale_max 100.0;
                Float32 CE 100.0;
                Float32 CS 0.0;
                Float32 scale_min 0.0;
                String long_name "ROC Below";
            }
            Spearman {
                String colormap "null", "0", "8388608", "16711680", "25", "16760576", "26", "13959039", "39", "10025880", "26", "11920639", "11920639", "26", "65535", "36095", "38", "255", "38", "128", "39", "2763429";
                String colorscalename "correlationcolorscale";
                Int32 ncolor 254;
                Int32 maxncolor 254;
                Float32 file_missing_value -999.0;
                String units "unitless";
                Float32 missing_value -999.0;
                Float32 scale_max 1.0;
                Float32 CE 1.0;
                Float32 CS -1.0;
                Float32 scale_min -1.0;
                String long_name "Spearman";
            }
        }
    }
NC_GLOBAL {
    String description "Forecast: Dec 2021 - Mar 2022 . [Models NextGen ] ";
    String Conventions "IRIDL";
    String Models.CanSIPS-IC3.Forecast.description "Forecast and Error";
    String Models.CanSIPS-IC3.History.description "Predictand, Hindcast and Skill";
    String Models.CanSIPS-IC3.Skill.description "Forecast Skills";
    String Models.COLA-RSMAS-CCSM4.Forecast.description "Forecast and Error";
    String Models.COLA-RSMAS-CCSM4.History.description "Predictand, Hindcast and Skill";
    String Models.COLA-RSMAS-CCSM4.Skill.description "Forecast Skills";
    String Models.NASA-GEOSS2S.Forecast.description "Forecast and Error";
    String Models.NASA-GEOSS2S.History.description "Predictand, Hindcast and Skill";
    String Models.NASA-GEOSS2S.Skill.description "Forecast Skills";
}
}