served from digilib.icpac.net
min ∂T mean [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] : ∂T Precipitation data
min ∂T mean [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] . isIndependent Variables (Grids)
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 0.144 meter year-2
- history
- $partialdiff sub T$ mean [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] 16 Dec 2024 - 15 Jan 2025
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
min $partialdiff sub T$ mean [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ]- min over T[16 Jan 1981 - 15 Feb 1981, 16 Dec 2024 - 15 Jan 2025]
- Averaged over T2[1981, 2024] minimum 0.0% data present
Last updated: Thu, 20 Feb 2025 09:48:13 GMT
Expires: Mon, 10 Mar 2025 00:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units