root mean sq [ ∂Y ∫dT ( ENACTS version0 dekadal climatologies rfe_stddev ) anomalies ]: ∂Y Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev int_dT partial_Y partial_Y
∂Y Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
is
Independent 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
- 4950.35534993031 meter radian-1 north second
- history
- $partialdiff sub Y$ $integral dT$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- $partialdiff sub Y$ $integral dT$ [ ENACTS version0 dekadal climatologies rfe_stddev ] climatology
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Averaged over T2=0000 26 Dec 1980 - 0000 26 Dec 1981 minimum 0.0% data present
root mean sq [ $partialdiff sub Y$ $integral dT$ ( ENACTS version0 dekadal climatologies rfe_stddev ) anomalies ]- Averaged over X[21.83E, 51.48E] Y[11.775S, 23.125N] minimum 0.0% data present
Last updated: Tue, 27 Aug 2024 06:59:22 GMT
Expires: Sun, 11 Aug 2024 00:00:00 GMT
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
Average over
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