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∂Y root mean sq anom ∫dT [ ENACTS version0 dekadal climatologies rfe_stddev ] : ∂Y Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev int_dT int_dT ∂Y Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 4950.35534993031 meter radian-1 north second
- history
- $partialdiff sub Y$ root mean sq anom $integral dT$ [ ENACTS version0 dekadal climatologies rfe_stddev ]
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Averaged over T[0000 1 Jan, 0000 1 Jan] minimum 0.0% data present
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Last updated: Fri, 19 Apr 2024 06:43:57 GMT
Expires: Thu, 11 Apr 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 $partialdiff sub Y$ root mean sq anom $integral dT$ [ ENACTS version0 dekadal climatologies rfe_stddev ] [ X Y |] | M | M |
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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 Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units