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min ∫dY [ ENACTS version0 dekadal climatologies rfe ] : Dekadal rainfall climatology 1981-2010 average data
dekadal climatologies rfe int_dY min 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) (365) periodic [ (6-15 Jan) (0000 16 Jan - 1200 26 Jan) (1200 26 Jan - 2400 5 Feb) (6-15 Feb) (16-24 Feb) (25 Feb - 5 Mar) (6-15 Mar) (0000 16 Mar - 1200 26 Mar) (1200 26 Mar - 2400 5 Apr) (6-15 Apr) (16-25 Apr) (26 Apr - 5 May) (6-15 May) (0000 16 May - 1200 26 May) (1200 26 May - 2400 5 Jun) (6-15 Jun) (16-25 Jun) (26 Jun - 5 Jul) (6-15 Jul) (0000 16 Jul - 1200 26 Jul) (1200 26 Jul - 2400 5 Aug) (6-15 Aug) (0000 16 Aug - 1200 26 Aug) (1200 26 Aug - 2400 5 Sep) (6-15 Sep) (16-25 Sep) (26 Sep - 5 Oct) (6-15 Oct) (0000 16 Oct - 1200 26 Oct) (1200 26 Oct - 2400 5 Nov) (6-15 Nov) (16-25 Nov) (26 Nov - 5 Dec) (6-15 Dec) (0000 16 Dec - 1200 26 Dec) (1200 26 Dec - 2400 5 Jan)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.8S) to (23.15N) by 0.05 N= 700 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- min $integral dY$ [ ENACTS version0 dekadal climatologies rfe ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
min over X[21.855E, 51.455E]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
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