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∂Y ∂T ∂X [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] anomalies: ∂Y ∂T ∂X Precipitation data
∂Y ∂T ∂X [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1981 - 15 Feb 1981) to (16 Dec 2024 - 15 Jan 2025) by 1.0 N= 528 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 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
- pointwidth
- 1.0
- units
- 472.724114401691 meter radian-2 east year-2
- history
- $partialdiff sub Y$ $partialdiff sub T$ $partialdiff sub X$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ]
Averaged over T2[1981, 2024] minimum 0.0% data present
- $partialdiff sub Y$ $partialdiff sub T$ $partialdiff sub X$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] climatology
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2024 - 15 Jan 2025] minimum 0.0% data present
- Averaged over T2[1981, 2024] minimum 0.0% data present
- $partialdiff sub Y$ $partialdiff sub T$ $partialdiff sub X$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ]
Last updated: Thu, 20 Feb 2025 09:48:13 GMT
Expires: Mon, 10 Mar 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ $partialdiff sub T$ $partialdiff sub X$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] anomalies[ X Y | T] | M | M | M |
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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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units