data: min [ S , root mean sq anom min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ]

served from 129.236.110.25

min [ S , root mean sq anom min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ]: Hecho en, Probabilidades -Temperatura Máxima data

min [ S , root mean sq anom min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ].

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

Other Info

calendar

360

datatype

realarraytype

fnname

min

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

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

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

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

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

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

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

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

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

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

min [ OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ] 0000 1 Dec 2025

min over X[117.75W, 28.25W]

root mean sq anom min [ OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ]

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
Expires: Mon, 05 Jan 2026 00:00:00 GMT

Data Views

	S	Y
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		M
min [ S , root mean sq anom min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ][ \| S Y]	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
Differentiate along S Y
Take differences along S Y

Average over S Y | S Y |
RMS (root mean square with mean *not* removed) over S Y | S Y |
RMSA (root mean square with mean removed) over S Y | S Y |
Maximum over S Y | S Y |
Minimum over S Y | S Y |
Detrend (best-fit-line) over S Y | S Y |

Note on units