data: max $integral dS$ root mean sq $integral dS$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ]

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max ∫dS root mean sq ∫dS [ OLE2 CPT ESCENARIO2 PRECIPITACION ] : Probabilidades - Precipitación - Categorías data

max ∫dS root mean sq ∫dS [ OLE2 CPT ESCENARIO2 PRECIPITACION ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Dec 1999) to (0000 1 Jan 2026) by 1.0 N= 314 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

6.94444444444444×10^-05 year²

history

max $integral dS$ root mean sq $integral dS$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ]

Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present
max over X[117.75W, 28.25W] 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

	L	S
max $integral dS$ root mean sq $integral dS$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ \| S L]	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