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∂S [ OLE2 CPT ESCENARIO2 ABOVEWET ]: ∂S ROC ( Sobre ) - Días Lluviosos data
∂S [ OLE2 CPT ESCENARIO2 ABOVEWET ].Variables Indépendantes (Grilles)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2000) to (Feb 2025) by 1.0 N= 302 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
Autres Informations
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 12 year-1
Dernière Mise à jour: Thu, 06 Mar 2025 07:30:01 GMT
Expire: Sat, 05 Apr 2025 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 | |
 $partialdiff sub S$ [ OLE2 CPT ESCENARIO2 ABOVEWET ][ 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