served from maprom.malimeteo.ml
∂X detrended-bfl [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ] : ∂X Merged Station-Satellite Rainfall data
ENACTS ENACTS_v2 ALL Rainfall dekadal precip adif adif ∂X Merged Station-Satellite Rainfall from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (0000 16 Dec 2022 - 1200 26 Dec 2022)] N= 1511 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (12.50625W) to (4.51875E) by 0.0375 N= 455 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (9.8625N) to (25.35N) by 0.0375 N= 414 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 east
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 | |
 $partialdiff sub X$ detrended-bfl [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ] [ 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