data: root mean sq anom $integral dY$ $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff

root mean sq anom ∫dY ∫dX [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] : Rainfall Difference Expressed as Percent of Long-Term Average (%) data

rfe_adjdiff_percent int_dX int_dY 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 [ (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 (32.98125E) to (48.01875E) by 0.0375 N= 402 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

cmorph_dekad_colors

CS

null

datatype

doublearraytype

maxncolor

254

units

0.000304617419786709 radian² north

history

root mean sq anom $integral dY$ $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ]

Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over Y[3.31875N, 15.01875N]

Last updated: Mon, 06 Oct 2025 08:28:54 GMT
Expires: Sat, 11 Oct 2025 00:00:00 GMT

Data Views

	T	X
root mean sq anom $integral dY$ $integral dX$ [ Ethiopia NMA dekadal rainfall rfe_adjdiff_percent ] [ X \| T]	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 T
Differentiate along X T
Take differences along X T

Average over X T | X T |
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |

Note on units