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

served from 129.236.110.25

min [ S , min root mean sq ( OLE2 CPT ESCENARIO1 ODDSWETDAYS ) ]: S, ODDS Días Lluviosos data

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

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 2000) (0000 1 Feb 2000) (0000 1 Mar 2000) ... (0000 1 Dec 2025)] N= 312 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

calendar

standard

datatype

realarraytype

fnname

min

gridid

175505328

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

min root mean sq [ OLE2 CPT ESCENARIO1 ODDSWETDAYS ]

Averaged over S[0000 1 Jan 2000, 2400 30 Nov 2025] minimum 0.0% data present
min over X[117.75W, 28.25W]

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

Data Views

	C	S	Y
OLE2 CPT ESCENARIO1[AFCWET SPEARMANWET BELOWWET BELOW SPEARMANTMED TMAX PROBABILIDADESTMAX SPEARMANTMAX PROPENSIONTMED ABOVETMED ODDS SPEARMANTMIN ODDSWETDAYS ABOVEWET PROBABILIDADES ODDSTMIN ODDSTMAX SPEARMAN PROPENSIONWETDAYS PROPENSIONTMIN BELOWTMED PROPENSION PROBABILIDADESTMED target_date TMED TMIN PRECIPITACION ABOVETMAX PROBABILIDADESWETDAYS AFCTMIN BELOWTMAX WETDAY ABOVE PROPENSIONTMAX AFCTMED BELOWTMIN AFCTMAX ABOVETMIN AFC ODDSTMED PROBABILIDADESTMIN ]
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	M
min [ S , min root mean sq ( OLE2 CPT ESCENARIO1 ODDSWETDAYS ) ][ \| S Y C]	M	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 Y C
Differentiate along S Y C
Take differences along S Y C