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MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal c9120 precip_stddev: Merged Station-Satellite Rainfall Climatology standard deviation 1991-2020 data
ENACTS ENACTS_v2 ALL Rainfall dekadal c9120 Merged Station-Satellite Rainfall Climatology standard deviation 1991-2020 from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (days since 1991-01-01) (365) periodic [ (1-10 Jan) (11-20 Jan) (21-31 Jan) (1-10 Feb) (11-20 Feb) (21-28 Feb) (1-10 Mar) (11-20 Mar) (21-31 Mar) (1-10 Apr) (11-20 Apr) (21-30 Apr) (1-10 May) (11-20 May) (21-31 May) (1-10 Jun) (11-20 Jun) (21-30 Jun) (1-10 Jul) (11-20 Jul) (21-31 Jul) (1-10 Aug) (11-20 Aug) (21-31 Aug) (1-10 Sep) (11-20 Sep) (21-30 Sep) (1-10 Oct) (11-20 Oct) (21-31 Oct) (1-10 Nov) (11-20 Nov) (21-30 Nov) (1-10 Dec) (11-20 Dec) (21-31 Dec)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (12.525W) to (4.5375E) by 0.0375 N= 456 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (9.8625N) to (25.35N) by 0.0375 N= 414 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- scale_min
- 0.0
- units
- mm
- standard units*
- 0.001 meter
- history
- root mean sq anom [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ]
Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- sqrt [ total dataflag ( MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ) / ( total dataflag { MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip } - 1. ) ]
Averaged over T2[0.5, 1080.5]
- root mean sq anom [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ]
Last updated: Wed, 16 Aug 2023 08:16:35 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal c9120 precip_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