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Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged: Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average data
Rwanda ENACTS rfe_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 (days since 1960-01-01) ordered [ (1-10 Jan 1983) (11-20 Jan 1983) (21-31 Jan 1983) ... (11-20 Mar 2024)] N= 1484 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
- 300
- colorscalename
- rfepercent_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- scale_max
- 300.0
- scale_min
- 0.0
- units
- unitless
- history
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
- colorscale
Last updated: Mon, 25 Mar 2024 07:22:00 GMT
Expires: Mon, 01 Apr 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged[ X Y | T] | M | M | M |
|---|
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