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root mean sq anom ∂Y [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] : ∂Y Rainfall Difference Expressed as Percent of Long-Term Average (%) data
rfe_adjdiff_percent partial_Y partial_Y ∂Y Rainfall Difference Expressed as Percent of Long-Term Average (%) from Ethiopia NMA dekadal rainfall: Ethiopia National Meteorological Agency.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (16-25 Sep 2025)] N= 1610 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.35625N) to (14.98125N) by 0.0375 N= 311 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 57.2957795130823 radian-1 north
- history
- root mean sq anom $partialdiff sub Y$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ]
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over X[33E, 48E]
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
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| T | Y | |
 root mean sq anom $partialdiff sub Y$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] [ Y | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units