served from maprom.malimeteo.ml
∫dT ∂Y [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] : ∂Y Tmean Downscaled Reanalysis merged with station data
ENACTS ENACTS_v2 ALL Temperature dekadal tmean partial_Y ∂Y Tmean Downscaled Reanalysis merged with station from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1961) (0000 11 Jan 1961) (0000 21 Jan 1961) ... (0000 1 Jan 2022)] N= 2197 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (12.525W) to (4.5375E) by 0.0375 N= 456 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
- temp_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 4950355.34993031 degree_Kelvin radian-1 north second
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 | |
 $integral dT$ $partialdiff sub Y$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] [ 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