served from maprom.malimeteo.ml
∫dX ∂T [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall monthly precip ] : ∂T Merged Station-Satellite Rainfall data
ENACTS ENACTS_v2 ALL Rainfall monthly precip precip partial_T ∂T Merged Station-Satellite Rainfall from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Feb 1981) to (Nov 2022) by 1.0 N= 502 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (12.54375W) to (4.55625E) by 0.0375 N= 457 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
- precip_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.00020943951023932 meter radian east year-1
- history
- Boxes with less than 0.0% dropped
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 | |
 $integral dX$ $partialdiff sub T$ [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall monthly 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