data: max [ S , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ]

served from 129.236.110.25

max [ S , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ]: Hecho en, Probabilidades -Temperatura Mínima data

max [ S , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ].

Independent Variables (Grids)

Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid

Other Info

calendar

360

datatype

realarraytype

fnname

max

gridid

175490048

missing_value

NaN

pointwidth

scale_max

null

scale_min

null

standard_name

forecast_reference_time

units

months since 1960-01-01

standard units*

0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

history

[ dominant_class ( OLE2 CPT ESCENARIO2 TMIN Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMIN ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 TMIN Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMIN ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ OLE2 CPT ESCENARIO2 TMIN Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMIN ] - 1. } * 11. ) , 22 ]

dominant_class [ OLE2 CPT ESCENARIO2 TMIN Sobre la Normal ]
dominant_class over TMIN[<35, >80]

masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMIN ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO2 TMIN Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMIN ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ OLE2 CPT ESCENARIO2 TMIN Normal ]
dominant_class over TMIN[<35, >80]

masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMIN ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO2 TMIN Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMIN ] - 1. } * 11. ) , 0 ]

dominant_class [ OLE2 CPT ESCENARIO2 TMIN Bajo la Normal ]
dominant_class over TMIN[<35, >80]

maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMIN ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

max [ OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ]

max over X[117.75W, 28.25W] 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

	S
OLE2 CPT ESCENARIO2[PROPENSIONTMIN PROBABILIDADES BELOWTMED TMED PROBABILIDADESTMED ABOVETMAX PROPENSION BELOW PROBABILIDADESWETDAYS AFCTMIN SPEARMAN TMIN AFCTMED BELOWTMAX SPEARMANTMAX PRECIPITACION PROPENSIONTMAX SPEARMANWET AFC ODDSTMED WETDAY PROBABILIDADESTMIN ABOVEWET AFCTMAX PROPENSIONWETDAYS target_date AFCWET TMAX PROBABILIDADESTMAX SPEARMANTMIN ODDSWETDAYS ODDS PROPENSIONTMED BELOWWET ABOVETMIN ABOVE ABOVETMED BELOWTMIN ODDSTMIN ODDSTMAX SPEARMANTMED ]
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
max [ S , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ][ \| S]	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