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∫dS max [ ( OLE2 CPT ESCENARIO2 AFCTMIN ) , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMED ) ] : 2AFC Temperatura Mínima, Probabilidades -Temperatura Media data
∫dS max [ ( OLE2 CPT ESCENARIO2 AFCTMIN ) , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMED ) ] .Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1999) to (0000 16 Dec 2025) by 1.0 N= 313 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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.000833333333333333 year
- history
- [ dominant_class ( OLE2 CPT ESCENARIO2 TMED Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMED ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 TMED Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMED ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Sobre la Normal ]
dominant_class over TMED[<35, >80]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Sobre la Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Normal ]
dominant_class over TMED[<35, >80]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Bajo la Normal ]
dominant_class over TMED[<35, >80]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMED ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 TMED Bajo la Normal ]
- max over Y[32.75N, 62.75S]
- [ dominant_class ( OLE2 CPT ESCENARIO2 TMED Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMED ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 TMED Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMED ) - 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| S | X | Y | |
 $integral dS$ max [ ( OLE2 CPT ESCENARIO2 AFCTMIN ) , max ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMED ) ] [ X | Y S] | 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 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