served from maproom.meteorwanda.gov.rw
∂Y min [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] : ∂Y Merged Gauge-Satellite Rainfall Anomaly data
Rwanda ENACTS rfe_merged rfe_mergeddiff min partial_Y ∂Y Merged Gauge-Satellite Rainfall Anomaly from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.51875E) to (30.95625E) by 0.0375 N= 66 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.94375S) to (1.06875S) by 0.03750001 N= 51 pts :grid
Other Info
- CE
- 150
- colorscalename
- cmorph_dekad_colors
- CS
- -150
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- $partialdiff sub Y$ min [ Rwanda ENACTS rfe_merged rfe_mergeddiff ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
min over T[1-10 Jan 1983, 1-10 Nov 2025]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
- colorscale
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
colors with land
contours with land
colors with coasts
line plots
color bars| X | Y | |
 doc[] | ||
 $partialdiff sub Y$ min [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] [ X Y |] | 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 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