Attributes { S { String standard_name "forecast_reference_time"; Int32 pointwidth 0; String long_name "Hecho en"; String calendar "360"; Int32 gridtype 0; String units "months since 1960-01-01"; } X { String standard_name "longitude"; String long_name "Longitud"; Float32 pointwidth 0.1; Int32 gridtype 0; String units "degree_east"; } L { String long_name "Forecast Lead Time in Months"; Int32 pointwidth 0; Int32 gridtype 0; String units "months"; } Y { String long_name "Latitud"; Float32 pointwidth 0.1; String standard_name "latitude"; Int32 gridtype 0; String units "degree_north"; } C { String long_name "Categorias"; Int32 gridtype 2; String units "ids"; } Y_01 { String long_name "Latitud"; Float32 pointwidth 0.1; String standard_name "latitude"; Int32 gridtype 0; String units "degree_north"; } Mu { String units "mm/dia"; String long_name "Pronóstico"; Float32 missing_value -999.0; 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"; Int32 ncolor 254; Float32 scale_min 0.0; Float32 scale_max 500.0; Int32 CE 500; Int32 CS 0; } PredErrorVars { String long_name "prediction error variance"; String units "mm2/day2"; Float32 missing_value -999.0; Int32 maxncolor 256; String colormap "null", "1973790", "16711680", "16776960", "51", "65280", "51", "65535", "51", "255", "51", "16711935", "51", "12632256"; String colorscalename "rainbowcolorscale"; Int32 ncolor 254; Float32 scale_min 0.0; Int32 CS 0; } PROB_FCST { Float32 missing_value -1.0; String long_name "Probabilidades - Categorías"; String units "percent"; Float32 scale_min 0.0; Float32 scale_max 100.0; Int32 CE 100; Int32 CS 0; } PROBABILITIES { String colorscalename "halfgreyscale"; Int32 file_missing_value 0; String units "ids"; String history "[ dominant_class ( NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]", " dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ] ", "dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Sobre ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masklt [ ( { dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]", "dominant_class over C[Bajo, Sobre]", " dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ] ", "dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Normal ]", "dominant_class over PROB_FCST[≤35, ≥80]", "masknotrange [ ( { dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]", "dominant_class over C[Bajo, Sobre]", " dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ] ", "dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST Bajo ]", "dominant_class over PROB_FCST[≤35, ≥80]", "maskgt [ ( { dominant_class [ NextGen CPT 0p1 Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]", "dominant_class over C[Bajo, Sobre]"; Float32 missing_value NaN; String fnname "maskle"; 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"; Int32 CE 33; 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"; Float32 scale_max 33.0; Int32 ncolor 254; Int32 CS 1; } target_date { String standard_name "forecast_reference_time"; String calendar "360"; String units "months since 1960-01-01"; String long_name "forecast time"; Int32 pointwidth 3; } target_length { Float32 pointwidth 1.0; String calendar "360"; Float32 missing_value NaN; String units "days"; String history "Averaged in T with overlapping interval 3"; String long_name "Length of forecast time"; } NC_GLOBAL { String Conventions "IRIDL"; String description "Forecast and Error"; } }