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∂T root mean sq ∂T [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] anomalies: ∂T ∂T Precipitation data
∂T root mean sq ∂T [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Feb 1981 - 15 Mar 1981) to (16 Nov 2024 - 15 Dec 2024) by 1.0 N= 526 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1.728 meter year-3
- history
- $partialdiff sub T$ root mean sq $partialdiff sub T$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ]
Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
- $partialdiff sub T$ root mean sq $partialdiff sub T$ [ 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[16 Feb 1981 - 15 Feb 1982, 16 Feb 2023 - 15 Feb 2024] minimum 0.0% data present
- Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
- $partialdiff sub T$ root mean sq $partialdiff sub T$ [ 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