∫dT [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ] climatology anomalies: Merged Station-Satellite Rainfall data
ENACTS ENACTS_v2 ALL Rainfall dekadal precip int_dT int_dT Merged Station-Satellite Rainfall from MaliMeteo: Mali-Météo.
Independent Variables (Grids)
Time
grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 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
cmorph_dekad_colors
CS
null
datatype
realarraytype
file_missing_value
-99.0
maxncolor
254
missing_value
NaN
units
86.4 meter second
history
$integral dT$ [ MaliMeteo ENACTS ENACTS_v2 ALL Rainfall dekadal precip ] climatology Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2021 - 25 Dec 2022] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2021 - 25 Dec 2022] minimum 0.0% data present Averaged over T2=26 Dec 1959 - 25 Dec 1960 minimum 0.0% data present
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.