∫dY [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] climatology anomalies: Tmin Downscaled Reanalysis merged with station data
ENACTS ENACTS_v2 ALL Temperature dekadal tmin int_dY int_dY Tmin Downscaled Reanalysis merged with station from MaliMeteo: Mali-Météo.
Independent Variables (Grids)
Time
grid: /T (months since 01-Jan) periodic (1-10 Jan) to (21-30 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 (9.84375N) to (25.36875N) by 0.0375 N= 415 pts :grid
Other Info
CE
null
colorscalename
temp_colors
CS
null
datatype
realarraytype
file_missing_value
-99.0
maxncolor
254
missing_value
NaN
units
0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
history
$integral dY$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] climatology Averaged over T2[1961, 2357 30 Dec 2020 - 2357 30 Dec 2021] minimum 0.0% data present
$integral dY$ [ MaliMeteo ENACTS ENACTS_v2 ALL Temperature dekadal tmin ] climatology climatology
Averaged over T2[1961, 2357 30 Dec 2020 - 2357 30 Dec 2021] minimum 0.0% data present Averaged over T2=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.