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∂T ∂T ∂Y [ ENACTS version0 dekadal climatologies rfe_stddev ] : ∂T ∂T ∂Y Dekadal rainfall 1981-2010 standard deviation data
dekadal climatologies rfe_stddev partial_Y partial_T partial_T ∂T ∂T ∂Y 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) (0000 11 Jan - 0304 16 Jan) (0304 16 Jan - 1800 15 Feb) (1800 15 Feb - 1200 20 Feb) (1200 20 Feb) (1200 20 Feb - 2400 24 Feb) (0000 25 Feb - 0600 6 Mar) (0600 6 Mar - 0304 16 Mar) (0304 16 Mar - 2400 10 Apr) (0000 11 Apr) (11-15 Apr) (16-25 Apr) (26 Apr - 5 May) (0000 6 May - 0304 16 May) (0304 16 May - 2400 10 Jun) (0000 11 Jun) (11-15 Jun) (16-25 Jun) (26 Jun - 5 Jul) (0000 6 Jul - 0304 16 Jul) (0304 16 Jul - 2400 10 Aug) (0000 11 Aug) (0000 11 Aug - 0304 16 Aug) (0304 16 Aug - 2400 10 Sep) (0000 11 Sep) (11-15 Sep) (16-25 Sep) (26 Sep - 5 Oct) (0000 6 Oct - 0304 16 Oct) (0304 16 Oct - 2400 10 Nov) (0000 11 Nov) (11-15 Nov) (16-25 Nov) (26 Nov - 5 Dec) (0000 6 Dec - 0304 16 Dec) (0304 16 Dec - 2400 10 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 (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- 300
- colorscalename
- cmorph_dekad_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 7.67529625250266×10-12 meter radian-1 north second-2
- history
- Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- colorscale
Last updated: Thu, 16 May 2024 08:15:58 GMT
Expires: Sat, 11 May 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $partialdiff sub T$ $partialdiff sub Y$ [ ENACTS version0 dekadal climatologies rfe_stddev ] [ X Y | T] | M | 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 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