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mean root mean sq root mean sq ∂Y [ ENACTS version0 dekadal rainfall rfe ] : ∂Y Precipitation data
dekadal rainfall rfe partial_Y partial_Y partial_Y ∂Y Precipitation 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
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- root mean sq root mean sq $partialdiff sub Y$ [ ENACTS version0 dekadal rainfall rfe ]
- Averaged over T[1-10 Jan 1981, 0144 1 Oct 2024] minimum 0.0% data present
Averaged over Y[11.775S, 23.125N] minimum 0.0% data present
mean root mean sq root mean sq $partialdiff sub Y$ [ ENACTS version0 dekadal rainfall rfe ]- Averaged over X[21.83E, 51.48E] minimum 0.0% data present
- Averaged over T[1-10 Jan 1981, 0144 1 Oct 2024] 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
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