served from maproom.meteorwanda.gov.rw
root mean sq anom mean ∫dY [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] : Merged Gauge-Satellite Rainfall Anomaly data
Rwanda ENACTS rfe_merged rfe_mergeddiff int_dY int_dY Merged Gauge-Satellite Rainfall Anomaly from SOURCES: the IRI/LDEO collection of climate data. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- mean $integral dY$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] 1-10 Sep 2026
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over Y[3S, 1.0125S] minimum 0.0% data present
root mean sq anom mean $integral dY$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff ]- Averaged over X[28.51875E, 30.95625E] T[1-10 Jan 1983, 1-10 Sep 2026] minimum 0.0% data present
- 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
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units