data: $partialdiff sub S$ max [ S , max root mean sq ( OLE2 CPT ESCENARIO2 PROBABILIDADES ) ]

served from 129.236.110.25

∂_S max [ S , max root mean sq ( OLE2 CPT ESCENARIO2 PROBABILIDADES ) ] : ∂_S Hecho en, Probabilidades - Precipitación data

∂_S max [ S , max root mean sq ( OLE2 CPT ESCENARIO2 PROBABILIDADES ) ] .

Independent Variables (Grids)

S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (Jan 2000) to (Nov 2025) by 1.0 N= 311 pts :grid

Other Info

calendar

360

datatype

realarraytype

fnname

max

gridid

175495832

missing_value

NaN

pointwidth

scale_max

null

scale_min

null

standard_name

forecast_reference_time

units

unitless

history

[ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 22 ]

dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ]
dominant_class over PRECIPITACION[<35, >80]

masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Normal ]
dominant_class over PRECIPITACION[<35, >80]

masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 0 ]

dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Bajo la Normal ]
dominant_class over PRECIPITACION[<35, >80]

maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

root mean sq [ OLE2 CPT ESCENARIO2 PROBABILIDADES ]

Averaged over X[118W, 28W] minimum 0.0% data present

max root mean sq [ OLE2 CPT ESCENARIO2 PROBABILIDADES ]

max over Y[32.75N, 62.75S]

Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT

Data Views

	S
OLE2 CPT ESCENARIO2[SPEARMANWET AFC PROPENSIONTMAX SPEARMANTMAX PROPENSIONTMIN BELOWWET ODDSTMED ABOVEWET WETDAY target_date AFCWET ABOVETMIN AFCTMED PROBABILIDADESTMAX TMAX AFCTMAX PROPENSIONWETDAYS ODDSWETDAYS ABOVETMED ODDS PROPENSIONTMED PROBABILIDADESTMIN ABOVE AFCTMIN ABOVETMAX ODDSTMIN ODDSTMAX PROBABILIDADES PROPENSION PROBABILIDADESTMED BELOWTMAX TMED BELOW SPEARMAN SPEARMANTMED BELOWTMIN TMIN PROBABILIDADESWETDAYS BELOWTMED PRECIPITACION SPEARMANTMIN ]
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
$partialdiff sub S$ max [ S , max root mean sq ( OLE2 CPT ESCENARIO2 PROBABILIDADES ) ] [ \| S]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along S
Differentiate along S
Take differences along S

∂S max [ S , max root mean sq ( OLE2 CPT ESCENARIO2 PROBABILIDADES ) ] : ∂S Hecho en, Probabilidades - Precipitación data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_S max [ S , max root mean sq ( OLE2 CPT ESCENARIO2 PROBABILIDADES ) ] : ∂_S Hecho en, Probabilidades - Precipitación data