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root mean sq anom [ ∂Y ∫dT ( ANACIM ENACTS version2 ALL dekadal rainfall rfe ) climatology ]: ∂Y Merged Station-Satellite Rainfall data
version2 ALL dekadal rainfall rfe int_dT partial_Y partial_Y ∂Y Merged Station-Satellite Rainfall from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.24375N) to (16.78125N) by 0.03750001 N= 122 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 4950.35534993031 meter radian-1 north second
- history
- root mean sq anom [ $partialdiff sub Y$ $integral dT$ ( ANACIM ENACTS version2 ALL dekadal rainfall rfe ) climatology ]
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Averaged over X[17.5875W, 11.2125W] minimum 0.0% data present
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Wed, 01 Nov 2023 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units