data: $integral dT$ $integral dT$ [ Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe

∫dT ∫dT [ Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged ] : Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average data

Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged int_dT Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1983) (0000 11 Jan 1983) (0000 21 Jan 1983) ... (0000 11 Sep 2026)] N= 1575 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.51875E) to (30.95625E) by 0.0375 N= 66 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.98125S) to (1.03125S) by 0.0375 N= 53 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: rfepercent_colors
CS: null
datatype: doublearraytype
maxncolor: 254
units: 7464960000 second²udunits(3): Invalid integer udunits(3): Invalid integer
standard units*
history: Averaged over T2[0.5, 1116.5] minimum 0.0% data present

Last updated: Mon, 14 Sep 2026 13:27:59 GMT
Expires: Mon, 21 Sep 2026 00:00:00 GMT

Data Views

	T	X	Y
$integral dT$ $integral dT$ [ Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged ] [ 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