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∂X min root mean sq ∂T [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation climatology ] : ∂X ∂T Precipitation data
∂X min root mean sq ∂T [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation climatology ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 8.25059224988385 meter radian-1 east year-2
- history
- root mean sq $partialdiff sub T$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation climatology ]
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
$partialdiff sub X$ min root mean sq $partialdiff sub T$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation climatology ]- min over T[16 Dec - 15 Jan, 16 Nov - 15 Dec]
- 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
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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units