data: root mean sq anom min [ S , min ( OLE2 CPT ESCENARIO1 WETDAY ) ]

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root mean sq anom min [ S , min ( OLE2 CPT ESCENARIO1 WETDAY ) ] : S, Probabilidades -Días Lluviosos - Categorías data

root mean sq anom min [ S , min ( OLE2 CPT ESCENARIO1 WETDAY ) ] .

Independent Variables (Grids)

Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

bufferwordsize

calendar

standard

CE

null

CS

null

datatype

doublearraytype

fnname

min

gridid

175472344

missing_value

NaN

pointwidth

scale_max

null

scale_min

null

standard_name

forecast_reference_time

units

days since 1960-01-01

standard units*

86400 ( seconds since 1960-01-01 00:00.000 )

history

root mean sq anom min [ S , min ( OLE2 CPT ESCENARIO1 WETDAY ) ]

min over X[117.75W, 28.25W] C[Bajo la Normal, Sobre la Normal]
Averaged over S[0000 1 Jan 2000, 0000 1 Dec 2025] minimum 0.0% data present

Last updated: Sat, 06 Dec 2025 07:30:02 GMT

Data Views

	Y
OLE2 CPT ESCENARIO1[ABOVETMAX ODDSTMAX ODDSTMIN PROPENSION TMED PROBABILIDADESTMED BELOWTMAX BELOW SPEARMAN SPEARMANTMED BELOWTMIN TMIN PROBABILIDADESWETDAYS PRECIPITACION PROPENSIONTMAX SPEARMANWET AFC SPEARMANTMAX PROPENSIONTMIN BELOWWET ODDSTMED AFCTMIN ABOVEWET WETDAY target_date AFCTMED AFCWET ABOVETMIN AFCTMAX PROBABILIDADES TMAX PROBABILIDADESTMAX PROPENSIONWETDAYS ODDSWETDAYS ABOVETMED ODDS PROPENSIONTMED PROBABILIDADESTMIN ABOVE SPEARMANTMIN BELOWTMED ]
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid	M
grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
root mean sq anom min [ S , min ( OLE2 CPT ESCENARIO1 WETDAY ) ] [ \| Y]	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