served from maprom.malimeteo.ml
∫dT ∂T ∫dX [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] : ∂T Tmin Downscaled Reanalysis merged with station data
ENACTS ENACTS_v2 ALL Temperature dekadal tmin int_dX partial_T ∂T Tmin Downscaled Reanalysis merged with station from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1961) (11-20 Jan 1961) (21-31 Jan 1961) ... (21-31 Dec 2021)] N= 2196 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
- temp_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0174532925199433 degree_Kelvin radian east
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 | |
 $integral dT$ $partialdiff sub T$ $integral dX$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] [ 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