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root mean sq [ ANACIM ENACTS version2 ALL dekadal rainfall rfe_merged_vs_meanrfe_merged ]: Rainfall data Expressed as Percentages of the Long-Term Average data
version2 ALL dekadal rainfall rfe_merged_vs_meanrfe_merged Rainfall data Expressed as Percentages of the Long-Term Average from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-30 Jun 2025)] N= 1602 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (17.5875W) to (11.2125W) by 0.0375 N= 171 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- percent
- standard units*
- 0.01
- history
- root mean sq [ ANACIM ENACTS version2 ALL dekadal rainfall rfe_merged_vs_meanrfe_merged ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[12.20625N, 16.81875N]
- Averaged over T2[0.5, 1080.5] 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| T | X | |
 root mean sq [ ANACIM ENACTS version2 ALL dekadal rainfall rfe_merged_vs_meanrfe_merged ][ X | T] | M | 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 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