data: max max min $integral dS$ [ OLE2 CPT ESCENARIO1 PRECIPITACION ]

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max max min ∫dS [ OLE2 CPT ESCENARIO1 PRECIPITACION ] : Probabilidades - Precipitación - Categorías data

max max min ∫dS [ OLE2 CPT ESCENARIO1 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 16 Dec 1999) to (0000 16 Dec 2025) by 1.0 N= 313 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

0.000833333333333333 year

history

max min $integral dS$ [ OLE2 CPT ESCENARIO1 PRECIPITACION ]

min over C[, ]
max over X[117.75W, 28.25W]

max max min $integral dS$ [ OLE2 CPT ESCENARIO1 PRECIPITACION ]

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

	L	S
max max min $integral dS$ [ OLE2 CPT ESCENARIO1 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