Attributes {
    L {
        String long_name "Forecast Lead Time in Months";
        Float32 pointwidth 3.0;
        Int32 gridtype 0;
        String units "months";
    }
    min {
        Int32 pointwidth 0;
        String colorscalename "halfgreyscale";
        Int32 file_missing_value 0;
        Int32 expires 1767571200;
        Float32 missing_value NaN;
        String fnname "maskle";
        String CLIST "0 Bajo", "0-1 Bajo", "1-2 Bajo", "2-3 Bajo", "3-4 Bajo", "4-5 Bajo", "5-6 Bajo", "6-7 Bajo", "7-8 Bajo", "8-9 Bajo", ">9 Bajo", "0 Nrormal", "0-1 Normal", "1-2 Normal", "2-3 Normal", "3-4 Normal", "4-5 Normal", "5-6 Normal", "6-7 Normal", "7-8 Normal", "8-9 Normal", ">9 Normal", "0 Sobre", "0-1 Sobre", "1-2 Sobre", "2-3 Sobre", "3-4 Sobre", "4-5 Sobre", "5-6 Sobre", "6-7 Sobre", "7-8 Sobre", "8-9 Sobre", ">9 Sobre";
        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";
        Int32 ncolor 254;
        String long_name "Propensión - Días Lluviosos";
        String units "ids degree_north";
        String history "[   dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal )   +   masklt ( { [   dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS )   - 1. ] * 11. } , 22 )   ] + [   dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal )   +   masknotrange ( { [   dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS )   - 1. ] * 11. } , 10 , 12 )   ]", "  dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ]   +   masklt [ ( {   dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ]   - 1. } * 11. ) , 22 ]  ", "dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ]", "dominant_class over ODDSWETDAYS[0, >9.0]", "masklt [ ( {   dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ]   - 1. } * 11. ) , 22 ]", "dominant_class over C[Bajo la Normal, Sobre la Normal]", "  dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ]   +   masknotrange [ ( {   dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ]   - 1. } * 11. ) , 10 , 12 ]  ", "dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ]", "dominant_class over ODDSWETDAYS[0, >9.0]", "masknotrange [ ( {   dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ]   - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Bajo la Normal, Sobre la Normal]", "  dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ]   +   maskgt [ ( {   dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ]   - 1. } * 11. ) , 0 ]  ", "dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ]", "dominant_class over ODDSWETDAYS[0, >9.0]", "maskgt [ ( {   dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ]   - 1. } * 11. ) , 0 ]", "dominant_class over C[Bajo la Normal, Sobre la Normal]", "root mean sq [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] 0000 1 Dec 2025", "Averaged over X[118W, 28W] minimum 0.0% data present", "$integral dY$   max   root mean sq [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ]    ", "max over S[0000 1 Jan 2000, 0000 1 Dec 2025]", "min over Y[33N, 63S]";
    }
NC_GLOBAL {
    String Conventions "IRIDL";
}
}