data: detrended-bfl mean root mean sq [ OLE2 CPT ESCENARIO1 PROBABILIDADES ]

served from 129.236.110.25

detrended-bfl mean root mean sq [ OLE2 CPT ESCENARIO1 PROBABILIDADES ] : Probabilidades - Precipitación data

detrended-bfl mean root mean sq [ OLE2 CPT ESCENARIO1 PROBABILIDADES ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Mar 2025) by 1.0 N= 303 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

halfgreyscale

CS

null

datatype

doublearraytype

file_missing_value

fnname

maskle

maxncolor

254

missing_value

NaN

pointwidth

units

ids

history

[ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 22 ]

dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ]
dominant_class over PRECIPITACION[<35, >80]

masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Normal ]
dominant_class over PRECIPITACION[<35, >80]

masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 0 ]

dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Bajo la Normal ]
dominant_class over PRECIPITACION[<35, >80]

maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

root mean sq [ OLE2 CPT ESCENARIO1 PROBABILIDADES ]

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

detrended-bfl mean root mean sq [ OLE2 CPT ESCENARIO1 PROBABILIDADES ]

Averaged over Y[63S, 33N] minimum 0.0% data present

Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT

Data Views

	L	S
detrended-bfl mean root mean sq [ OLE2 CPT ESCENARIO1 PROBABILIDADES ] 2.5 months[ \| L S]	M	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