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∂T [ ENACTS version0 dekadal climatologies rfe_stddev ]: ∂T Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev rfe_stddev ∂T Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (365) periodic [ (0000 11 Jan - 0600 21 Jan) (0000 11 Jan - 0600 21 Jan) (1800 31 Jan - 2400 10 Feb) (0000 11 Feb - 1200 20 Feb) (1200 20 Feb - 1200 1 Mar) (1200 20 Feb - 1200 1 Mar) (1200 1 Mar - 2400 10 Mar) (0000 11 Mar - 0600 21 Mar) (1800 31 Mar - 2400 10 Apr) (11-20 Apr) (11-20 Apr) (21-30 Apr) (1-10 May) (0000 11 May - 0600 21 May) (1800 31 May - 2400 10 Jun) (11-20 Jun) (11-20 Jun) (21-30 Jun) (1-10 Jul) (0000 11 Jul - 0600 21 Jul) (1800 31 Jul - 2400 10 Aug) (1800 31 Jul - 2400 10 Aug) (0000 11 Aug - 0600 21 Aug) (1800 31 Aug - 2400 10 Sep) (11-20 Sep) (11-20 Sep) (21-30 Sep) (1-10 Oct) (0000 11 Oct - 0600 21 Oct) (1800 31 Oct - 2400 10 Nov) (11-20 Nov) (11-20 Nov) (21-30 Nov) (1-10 Dec) (0000 11 Dec - 0600 21 Dec) (0000 11 Jan - 0600 21 Jan)] :grid
- 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 (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- CE
- 300
- colorscalename
- cmorph_dekad_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- colorscale
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
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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units