served from maproom.meteorwanda.gov.rw
root mean sq anom ∫dT [ Rwanda ENACTS rfe_merged rfe_mergeddiff_percent ] : Merged Gauge-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) data
Rwanda ENACTS rfe_merged rfe_mergeddiff_percent int_dT int_dT Merged Gauge-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.5375E) to (30.9375E) by 0.03750002 N= 65 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.98125S) to (1.03125S) by 0.0375 N= 53 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- units
- days
- standard units*
- 86400 second
- history
- root mean sq anom $integral dT$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff_percent ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over T[0000 1 Jan 1983, 0000 11 Sep 2026]
- 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
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars
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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units