served from 129.236.110.25
∫dS ∂X [ OLE2 CPT ESCENARIO1 AFCWET ] : ∂X 2AFC Días Lluviosos data
∫dS ∂X [ OLE2 CPT ESCENARIO1 AFCWET ] .Independent Variables (Grids)
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Apr 2026) by 1.0 N= 316 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (117.5W) to (28.5W) by 0.5 N= 179 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
- missing_value
- NaN
- pointwidth
- 0
- units
- 4.77464829275686 radian-1 east year
Last updated: Mon, 06 Apr 2026 06:30:02 GMT
Expires: Tue, 05 May 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 | |
 $integral dS$ $partialdiff sub X$ [ OLE2 CPT ESCENARIO1 AFCWET ] [ 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