data: detrended-bfl $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff

detrended-bfl ∫dT [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent ] : Rainfall Difference Expressed as Percent of Long-Term Average (%) data

ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent int_dT Rainfall Difference Expressed as Percent of Long-Term Average (%) from MaliMeteo: Mali-Météo.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 21 Jun 2023)] N= 1530 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

bufferwordsize: 8
CE: null
colorscalename: cmorph_dekad_colors
CS: null
datatype: doublearraytype
file_missing_value: -99.0
maxncolor: 254
units: days
standard units*: 86400 second
history: Averaged over T2[0.5, 1080.5] minimum 0.0% data present

Last updated: Fri, 15 Sep 2023 09:17:58 GMT
Expires: Mon, 21 Aug 2023 00:00:00 GMT

Data Views

	T	X	Y
detrended-bfl $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precipdiff_percent ] [ X Y \| T]	M	M	M

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