served from 129.236.110.25
∂S [ OLE2 CPT ESCENARIO2 AFC ]: ∂S 2AFC Precipitación data
∂S [ OLE2 CPT ESCENARIO2 AFC ].Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (1200 16 Jan 2000 - 1200 15 Feb 2000) (1200 15 Feb 2000 - 1200 16 Mar 2000) (1200 16 Mar 2000 - 2400 15 Apr 2000) ... (1200 16 Jan 2025 - 2400 14 Feb 2025)] N= 301 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
- CE
- 100.0
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.15740740740741×10-05 second-1
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: 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
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