served from maprom.malimeteo.ml
detrended-bfl ∂Y ∫dX [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall daily precip ] : ∂Y Merged Station-Satellite Rainfall data
ENACTS ENACTS_v2 ALL Rainfall daily precip int_dX partial_Y ∂Y Merged Station-Satellite Rainfall from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered (1 Jan 1981) to (31 Dec 2022) by 1.0 N= 15340 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 (9.88125N) to (25.33125N) by 0.0375 N= 413 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- mm
- standard units*
- 0.001 meter
Last updated: Wed, 14 Aug 2024 14:36:37 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl $partialdiff sub Y$ $integral dX$ [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall daily precip ] [ Y X | 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 Y X T
- Differentiate along Y X T
- Take differences along Y X T
RMS (root mean square with mean *not* removed) over Y X T | Y X Y T X T | Y X T |
RMSA (root mean square with mean removed) over Y X T | Y X Y T X T | Y X T |
Maximum over Y X T | Y X Y T X T | Y X T |
Minimum over Y X T | Y X Y T X T | Y X T |
Detrend (best-fit-line) over Y X T | Y X Y T X T | Y X T |
Note on units