served from maprom.malimeteo.ml
∂Y [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] climatology: ∂Y Tmin Downscaled Reanalysis merged with station data
ENACTS ENACTS_v2 ALL Temperature dekadal tmin partial_Y partial_Y ∂Y Tmin Downscaled Reanalysis merged with station from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (1-10 Jan) to (21-30 Dec) by 0.3333333 N= 36 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 (9.88125N) to (25.33125N) by 0.0375 N= 413 pts :grid
Other Info
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- Averaged over T2[1961, 2357 30 Dec 2020 - 2357 30 Dec 2021] minimum 0.0% data present
Last updated: Wed, 31 May 2023 16:26:42 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] climatology[ X Y T |] | M | M | M |
|---|
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