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∂X ∫dY [ Ethiopia NMA dekadal rainfall rfe_adj_vs_meanrfe_adj ] : ∂X Reconstructed Rainfall Expressed as Percentages of the Long-Term Average data
rfe_adj_vs_meanrfe_adj int_dY ∂X Reconstructed Rainfall Expressed as Percentages of the Long-Term Average from Ethiopia NMA dekadal rainfall: Ethiopia National Meteorological Agency.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-30 Sep 2025)] N= 1611 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (33.01875E) to (47.98125E) by 0.03750001 N= 400 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.31875N) to (15.01875N) by 0.0375 N= 313 pts :grid
Other Info
- CE
- 300
- colorscalename
- rfepercent_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- units
- unitless
- history
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
- colorscale
Last updated: Mon, 06 Oct 2025 08:28:54 GMT
Expires: Sat, 11 Oct 2025 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 | |
 $partialdiff sub X$ $integral dY$ [ Ethiopia NMA dekadal rainfall rfe_adj_vs_meanrfe_adj ] [ X Y | T] | M | 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 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