data: $integral dT$ $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip

∫dT ∫dT [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip_1-dekad ] : Standard Precipitation Index 1-dekad data

ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip_1-dekad int_dT Standard Precipitation Index 1-dekad from MaliMeteo: Mali-Météo.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (0000 27 Dec 1980) (0000 6 Jan 1981) (0000 16 Jan 1981) ... (0000 26 Jun 2023)] N= 1531 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: 3.0999999
colorscalename: cmorph_dekad_colors
CS: -3.0999999
datatype: doublearraytype
file_missing_value: -9.9899998
maxncolor: 254
missing_value: NaN
units: 7464960000 second²udunits(3): Invalid integer udunits(3): Invalid integer
standard units*
colorscale

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

Data Views

	T	X	Y
$integral dT$ $integral dT$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip_1-dekad ] [ T \| X Y]	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 T X Y
Differentiate along T X Y
Take differences along T X Y