served from digilib.icpac.net
∂T [ mean ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation ) anomalies ]: ∂T Precipitation data
∂T [ mean ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation ) 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
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
- mean [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ]
Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
- mean [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] climatology
- Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
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
- mean [ 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| T | |
 $partialdiff sub T$ [ mean ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation ) anomalies ][ | T] | 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 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