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∫dT root mean sq ∫dX [ ENACTS version0 dekadal climatologies rfe_stddev ] anomalies: Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev int_dX int_dX int_dT Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU. isIndependent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (360) ordered [ (0000 1 Jan 1981)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.5079644737231 meter radian east second
- history
- $integral dT$ root mean sq $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- $integral dT$ root mean sq $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev ] climatology
- $integral dT$ root mean sq $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
Averaged over T2=0000 26 Dec 1980 - 0000 26 Dec 1981 minimum 0.0% data present - Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- $integral dT$ root mean sq $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
- $integral dT$ root mean sq $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
Last updated: Thu, 16 May 2024 08:15:58 GMT
Expires: Sat, 11 May 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