served from maproom.meteorwanda.gov.rw
root mean sq anom ∫dT [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] : Merged Gauge-Satellite Rainfall Anomaly data
Rwanda ENACTS rfe_merged rfe_mergeddiff rfe_mergeddiff int_dT 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 Nov 2025)] N= 1543 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
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 86.4 meter second
- history
- root mean sq anom $integral dT$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over X[28.51875E, 30.95625E] minimum 0.0% data present
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Last updated: Wed, 12 Nov 2025 09:00:00 GMT
Expires: Fri, 21 Nov 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 doc[] | ||
 root mean sq anom $integral dT$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] [ Y | T] | M | M |
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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