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∫dT mean [ ENACTS version0 dekadal climatologies rfe anomalies ] : Dekadal rainfall climatology 1981-2010 average data
dekadal climatologies rfe rfe rfe int_dT Dekadal rainfall climatology 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (360) periodic [ (1600 5 Jan 1981) (1600 15 Jan 1981) (1600 27 Jan 1981) (1600 6 Feb 1981) (1600 16 Feb 1981) (1600 25 Feb 1981) (1600 4 Mar 1981) (1600 14 Mar 1981) (1600 26 Mar 1981) (1600 5 Apr 1981) (1600 15 Apr 1981) (1600 25 Apr 1981) (1600 5 May 1981) (1600 15 May 1981) (1600 27 May 1981) (1600 6 Jun 1981) (1600 16 Jun 1981) (1600 26 Jun 1981) (1600 6 Jul 1981) (1600 16 Jul 1981) (1600 28 Jul 1981) (1600 7 Aug 1981) (1600 17 Aug 1981) (1600 29 Aug 1981) (1600 8 Sep 1981) (1600 18 Sep 1981) (1600 28 Sep 1981) (1600 8 Oct 1981) (1600 18 Oct 1981) (1600 30 Oct 1981) (1600 9 Nov 1981) (1600 19 Nov 1981) (1600 29 Nov 1981) (1600 9 Dec 1981) (1600 19 Dec 1981) (1600 30 Dec 1981) (0000 1 Jan 1982)] :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
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 86.4 meter second
- history
- ENACTS version0 dekadal climatologies rfe
Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- ENACTS version0 dekadal climatologies rfe climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2=1981 minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- Averaged over X[21.83E, 51.48E] minimum 0.0% data present
- ENACTS version0 dekadal climatologies rfe
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units