served from maprom.malimeteo.ml
∫dT [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] climatology anomalies: Tmean Downscaled Reanalysis merged with station data
ENACTS ENACTS_v2 ALL Temperature dekadal tmean int_dT int_dT Tmean Downscaled Reanalysis merged with station from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.3333333 N= 36 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 (9.8625N) to (25.35N) by 0.0375 N= 414 pts :grid
Other Info
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 86400 ( degree_Kelvin above 273.15 ) second
- history
- $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] climatology
Averaged over T2[26 Dec 1960 - 25 Dec 1961, 26 Dec 2020 - 25 Dec 2021] minimum 0.0% data present
- $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] climatology climatology
- Averaged over T2[26 Dec 1960 - 25 Dec 1961, 26 Dec 2020 - 25 Dec 2021] minimum 0.0% data present
Averaged over T2=26 Dec 1959 - 25 Dec 1960 minimum 0.0% data present
- Averaged over T2[26 Dec 1960 - 25 Dec 1961, 26 Dec 2020 - 25 Dec 2021] minimum 0.0% data present
- $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] climatology
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 | |
 $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmean ] climatology 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