served from maproom.meteorwanda.gov.rw
root mean sq ∂Y [ Rwanda ENACTS rfe_merged rfe_mergeddiff_percent ] : ∂Y Merged Gauge-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) data
Rwanda ENACTS rfe_merged rfe_mergeddiff_percent partial_Y partial_Y ∂Y Merged Gauge-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) 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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 57.2957795130823 radian-1 north
- history
- root mean sq $partialdiff sub Y$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff_percent ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over X[28.51875E, 30.95625E]
- 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
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units