served from 129.236.110.25
max [ ( OLE2 CPT ESCENARIO2 AFCTMIN ) , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ]: 2AFC Temperatura Mínima, Probabilidades -Temperatura Máxima data
max [ ( OLE2 CPT ESCENARIO2 AFCTMIN ) , max ( 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
- Longitud (longitude)
- grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
Other Info
- CE
- 100.0
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- standard units*
- 0.01
- 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 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 Normal ]
- 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 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]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Bajo la Normal ]
- max over S[0000 1 Jan 2000, 0000 1 Dec 2025]
- [ 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 ) ]
Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
OLE2 CPT ESCENARIO2[
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 X Y S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units