served from 129.236.110.25
min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMED ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ]: Spearman Temperatura Media , Probabilidades -Temperatura Mínima data
min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMED ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ].Independent Variables (Grids)
- 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
- 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
- 1.0
- CS
- -1.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- fnname
- min
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 1.0
- scale_min
- -1.0
- units
- unitless
- 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 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 Normal ]
- 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 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]
- dominant_class [ OLE2 CPT ESCENARIO2 TMIN Bajo la Normal ]
- min over S[0000 1 Jan 2000, 0000 1 Dec 2025]
- [ 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 ) ]
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 | |
 min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMED ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMIN ) ][ 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