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min ∂Y ∫dT [ ENACTS version0 dekadal rainfall rfe ] : ∂Y Precipitation data
dekadal rainfall rfe int_dT partial_Y ∂Y Precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 4950.35534993031 meter radian-1 north second
- history
- min over T[0000 1 Jan 1981, 0000 1 Oct 2024]
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid | M | |
 min $partialdiff sub Y$ $integral dT$ [ ENACTS version0 dekadal rainfall rfe ] [ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units