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Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged climatology anomalies: Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average data
Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged rfe_merged_vs_meanrfe_merged Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (2359 30 Dec - 2359 10 Jan) to (2359 20 Dec - 2359 30 Dec) by 0.333333 N= 36 pts :grid
- 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 (2.98125S) to (1.03125S) by 0.0375 N= 53 pts :grid
Other Info
- CE
- null
- colorscalename
- rfepercent_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- units
- unitless
- history
- Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged climatology
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over T2[1983, 2354 30 Dec 2024 - 2354 30 Dec 2025]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
- Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged climatology climatology
- Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged climatology
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over T2[1983, 2354 30 Dec 2024 - 2354 30 Dec 2025]
Averaged over T2=2359 30 Dec 1959 - 2359 30 Dec 1960 - Averaged over T2[0.5, 1116.5] minimum 0.0% data present
- Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged climatology
- Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged climatology
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
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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units