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mean mean ∂T [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] : ∂T Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged partial_T partial_T ∂T Rainfall data Expressed as Percentages of the Long-Term Average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 1.15740740740741×10-07 second-1
- history
- mean $partialdiff sub T$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] T[6-15 Jan 1981, 2400 25 Sep 2024]
mean mean $partialdiff sub T$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ]- Averaged over X[21.83E, 51.48E]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
 mean mean $partialdiff sub T$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] [ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units