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∫dY [ ∫dX ( Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ) climatology anomalies ]: Rainfall Difference Expressed as Percent of Long-Term Average (%) data
rfe_adjdiff_percent int_dX int_dX int_dX Rainfall Difference Expressed as Percent of Long-Term Average (%) from Ethiopia NMA dekadal rainfall: Ethiopia National Meteorological Agency.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.98125E) to (48.01875E) by 0.0375 N= 402 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.31875N) to (15.01875N) by 0.0375 N= 313 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 0.000304617419786709 radian2 north
- history
- $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] climatology
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024]
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
- $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] climatology climatology
- $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] climatology
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024]
Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 - Averaged over T2[0.5, 1152.5] minimum 0.0% data present
- $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] climatology
- $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] climatology
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 | |
 $integral dY$ [ $integral dX$ ( Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ) climatology anomalies ][ 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