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∫dT root mean sq ∫dX [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] climatology: Precipitation data
∫dT root mean sq ∫dX [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.83E) to (51.48E) by 0.05 N= 594 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1.74532925199433×10-05 meter radian east
- history
- $integral dT$ root mean sq $integral dX$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ]
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
$integral dT$ root mean sq $integral dX$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ] climatology- Averaged over T2[16 Dec 1980 - 15 Dec 1981, 16 Dec 2023 - 15 Dec 2024] minimum 0.0% data present
- 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
data as colors
data as contours
line plots
color bars
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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units