Attributes {
    S {
        String calendar "360";
        String standard_name "forecast_reference_time";
        Int32 pointwidth 0;
        String long_name "Initialisation";
        Int32 gridtype 0;
        String units "months since 1960-01-01";
    }
    X {
        String standard_name "longitude";
        Float32 pointwidth 0.0375;
        String long_name "Longitude";
        Int32 gridtype 0;
        String units "degree_east";
    }
    Y {
        String standard_name "latitude";
        Float32 pointwidth 0.03749999;
        String long_name "Latitude";
        Int32 gridtype 0;
        String units "degree_north";
    }
    L {
        Float32 pointwidth 2.0;
        String long_name "Horizon";
        Int32 gridtype 0;
        String units "months";
    }
    C {
        String long_name "Catégories de Terciles";
        Int32 gridtype 2;
        String units "ids";
    }
    Forecast{
        DomTerProb {
            Int32 pointwidth 0;
            String colorscalename "tercileclassesscale";
            Int32 file_missing_value 0;
            String units "ids";
            String fnname "maskle";
            String history "[   masklt ( { [   dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb )   - 1. ] * 11. } , 22 )   +   dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Audessus_PNe )   ] + [   masknotrange ( { [   dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb )   - 1. ] * 11. } , 10 , 12 )   +   dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Proche_PNe )   ]", "  masklt [ ( {   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ]   - 1. } * 11. ) , 22 ]   +   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Audessus_PNe ]  ", "masklt [ ( {   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ]   - 1. } * 11. ) , 22 ]", "dominant_class over C[Sous_PNe, Audessus_PNe]", "dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Audessus_PNe ]", "dominant_class over TercProb[<35, >80]", "  masknotrange [ ( {   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ]   - 1. } * 11. ) , 10 , 12 ]   +   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Proche_PNe ]  ", "masknotrange [ ( {   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ]   - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Sous_PNe, Audessus_PNe]", "dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Proche_PNe ]", "dominant_class over TercProb[<35, >80]", "  maskgt [ ( {   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ]   - 1. } * 11. ) , 0 ]   +   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Sous_PNe ]  ", "maskgt [ ( {   dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ]   - 1. } * 11. ) , 0 ]", "dominant_class over C[Sous_PNe, Audessus_PNe]", "dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Sous_PNe ]", "dominant_class over TercProb[<35, >80]";
            Float32 missing_value NaN;
            String CLIST "<35 SN", "35-40 SN", "40-45 SN", "45-50 SN", "50-55 SN", "55-60 SN", "60-65 SN", "65-70 SN", "70-75 SN", "75-80 SN", ">80 SN", "<35 PN", "35-40 PN", "40-45 PN", "45-50 PN", "50-55 PN", "55-60 PN", "60-65 PN", "65-70 PN", "70-75 PN", "75-80 PN", ">80 PN", "<35 AN", "35-40 AN", "40-45 AN", "45-50 AN", "50-55 AN", "55-60 AN", "60-65 AN", "65-70 AN", "70-75 AN", "75-80 AN", ">80 AN";
            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 "Probabilités du Tercile Dominant";
        }
        target_date {
            String standard_name "forecast_reference_time";
            String calendar "360";
            String units "months since 1960-01-01";
            Int32 pointwidth 3;
            String long_name "Saison Prévue";
        }
        target_season {
            String units "unitless";
            String long_name "Abbréviation des Saisons";
        }
        TercProb {
            Int32 pointwidth 0;
            String units "percent";
            Float32 missing_value -1.0;
            String long_name "Probabilités des Terciles";
            Int32 ncolor 254;
            String colorscalename "tercileclassesscale";
            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";
            Int32 CE 100;
            Int32 CS 0;
            Float32 scale_max 100.0;
            Float32 scale_min 0.0;
        }
    }
    target_date {
        String standard_name "forecast_reference_time";
        String calendar "360";
        String units "months since 1960-01-01";
        Int32 pointwidth 3;
        String long_name "Saison Prévue";
    }
NC_GLOBAL {
    String Conventions "IRIDL";
    String description "Précipitations";
}
}