served from maprom.malimeteo.ml
∂Y ∂T [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature monthly tmean ] anomalies: ∂Y ∂T Merged Station-Downscaled Reanalysis Mean Temperature data
ENACTS ENACTS_v2 ALL Temperature monthly tmean partial_T partial_Y ∂Y ∂T Merged Station-Downscaled Reanalysis Mean Temperature from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1961 - 15 Feb 1961) to (16 Nov 2021 - 15 Dec 2021) by 1.0 N= 731 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
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 687.549354156988 degree_Kelvin radian-1 north year-1
- history
- $partialdiff sub Y$ $partialdiff sub T$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature monthly tmean ]
Boxes with less than 0.0% dropped
- $partialdiff sub Y$ $partialdiff sub T$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature monthly tmean ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[16 Jan 1961 - 15 Jan 1962, 16 Jan 2020 - 15 Jan 2021] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- $partialdiff sub Y$ $partialdiff sub T$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature monthly tmean ]
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 | |
 $partialdiff sub Y$ $partialdiff sub T$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature monthly tmean ] anomalies[ 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