data: root mean sq anom root mean sq anom max [ OLE2 CPT ESCENARIO2 PRECIPITACION ]

served from 129.236.110.25

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

root mean sq anom root mean sq anom max [ OLE2 CPT ESCENARIO2 PRECIPITACION ] .

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

percent

standard units*

0.01

history

root mean sq anom max [ OLE2 CPT ESCENARIO2 PRECIPITACION ]

max over S[0000 1 Jan 2000, 0000 1 Dec 2025]
Averaged over X[117.75W, 28.25W] minimum 0.0% data present

root mean sq anom root mean sq anom max [ OLE2 CPT ESCENARIO2 PRECIPITACION ]

Averaged over Y[32.75N, 62.75S] minimum 0.0% data present

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

Data Views

	C	L
OLE2 CPT ESCENARIO2[SPEARMANTMAX BELOWTMED ABOVETMAX PROPENSIONTMIN ODDSTMIN BELOWTMAX ODDSTMAX SPEARMANTMED PROBABILIDADES PROPENSION PROBABILIDADESTMED TMED ABOVETMED PROBABILIDADESWETDAYS TMIN target_date ABOVE SPEARMANTMIN PROBABILIDADESTMIN PROPENSIONWETDAYS AFCTMIN PROPENSIONTMAX BELOW ODDS ODDSTMED WETDAY ODDSWETDAYS SPEARMANWET AFC AFCTMED AFCWET ABOVETMIN SPEARMAN PRECIPITACION PROBABILIDADESTMAX TMAX BELOWTMIN ABOVEWET BELOWWET PROPENSIONTMED AFCTMAX ]
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid	M
root mean sq anom root mean sq anom max [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ C \| 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 C
Differentiate along C
Take differences along C