data: min $integral dY$ [ Rwanda ENACTS rfe_merged rfe

min ∫dY [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] : Merged Gauge-Satellite Rainfall Anomaly data

Rwanda ENACTS rfe_merged rfe_mergeddiff rfe_mergeddiff int_dY Merged Gauge-Satellite Rainfall Anomaly from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1983) (11-20 Jan 1983) (21-31 Jan 1983) ... (1-10 Sep 2026)] N= 1573 pts :grid

Other Info

bufferwordsize

CE

150

colorscalename

cmorph_dekad_colors

CS

-150

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

1.74532925199433×10^-05 meter radian north

history

min $integral dY$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff ]

Averaged over T2[0.5, 1116.5] minimum 0.0% data present
min over X[28.5375E, 30.9375E] Y[3S, 1.0125S]

colorscale

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

Data Views

	T
min $integral dY$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] [ \| T]	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
Differentiate along T
Take differences along T