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min ∂X ∫dX [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] anomalies: ∂X Precipitation data
min ∂X ∫dX [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Jan 2025) by 1.0 N= 529 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- min $partialdiff sub X$ $integral dX$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ]
min over X[21.855E, 51.455E] Y[11.775S, 23.125N]
- min $partialdiff sub X$ $integral dX$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] climatology
- min over X[21.855E, 51.455E] Y[11.775S, 23.125N]
Averaged over T2[1981, 2024] minimum 0.0% data present
- min over X[21.855E, 51.455E] Y[11.775S, 23.125N]
- min $partialdiff sub X$ $integral dX$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ]
Last updated: Thu, 20 Feb 2025 09:48:13 GMT
Expires: Mon, 10 Mar 2025 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units