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

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

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

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

0.000174532925199433 radian east

history

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

max over S[0000 1 Jan 2000, 0000 1 May 2025]
Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present

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

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

Last updated: Tue, 06 May 2025 06:30:01 GMT
Expires: Thu, 05 Jun 2025 00:00:00 GMT

Data Views

	L	Y
root mean sq root mean sq $integral dX$ max [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ Y \| 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 Y
Differentiate along Y
Take differences along Y