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∂T [ Ethiopia NMA monthly rainfall rfe_merged ] anomalies: ∂T Monthly Rainfall Total data
rfe_merged rfe_merged rfe_merged partial_T ∂T Monthly Rainfall Total from Ethiopia NMA monthly rainfall: Ethiopia National Meteorological Agency.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1981 - 15 Feb 1981) to (16 Nov 2016 - 15 Dec 2016) by 1.0 N= 431 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered [ (40.0125E)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered [ (7.9875N)] :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- $partialdiff sub T$ [ Ethiopia NMA monthly rainfall rfe_merged ]
Boxes with less than 0.0% dropped
- $partialdiff sub T$ [ Ethiopia NMA monthly rainfall rfe_merged ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2015 - 15 Jan 2016] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- $partialdiff sub T$ [ Ethiopia NMA monthly rainfall rfe_merged ]
Last updated: Mon, 07 Jul 2025 08:01:16 GMT
Data Views
Views
line plots
color bars
scatter| T | X | Y | |
 $partialdiff sub T$ [ Ethiopia NMA monthly rainfall rfe_merged ] anomalies 40.0125E 7.9875N[ 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units