data: MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precip_vs

MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precip_vs_meanprecip: Reconstructed Rainfall Expressed as Percentages of the Long-Term Average data

ENACTS ENACTS_v2 MON Rainfall dekadal precip_vs_meanprecip Reconstructed Rainfall Expressed as Percentages of the Long-Term Average from MaliMeteo: Mali-Météo.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (11-20 Jun 2023)] N= 1529 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (12.50625W) to (4.51875E) by 0.0375 N= 455 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (9.8625N) to (25.35N) by 0.0375 N= 414 pts :grid

Other Info

CE: 300
colorscalename: rfepercent_colors
CS: 0
datatype: realarraytype
file_missing_value: -99.0
maxncolor: 254
units: unitless
history: Averaged over T2[0.5, 1080.5] minimum 0.0% data present
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
MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal precip_vs_meanprecip[ 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