data: root mean sq [ $integral dY$ $integral dT$ ( Ethiopia NMA dekadal rainfall rfe

root mean sq [ ∫dY ∫dT ( Ethiopia NMA dekadal rainfall rfe_merged ) climatology ]: Merged Station-Satellite Rainfall data

rfe_merged int_dT int_dY int_dY Merged Station-Satellite Rainfall from Ethiopia NMA dekadal rainfall: Ethiopia National Meteorological Agency.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (33E) to (48E) by 0.0375 N= 401 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (3.31875N) to (15.01875N) by 0.0375 N= 313 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

cmorph_dekad_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

1.5079644737231 meter radian north second

history

root mean sq [ $integral dY$ $integral dT$ ( Ethiopia NMA dekadal rainfall rfe_merged ) climatology ]

Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2015 - 25 Dec 2016] minimum 0.0% data present
Averaged over T[0000 1 Jan, 2359 20 Dec] minimum 0.0% data present

Last updated: Mon, 02 Jun 2025 11:48:10 GMT

Data Views

	X	Y
root mean sq [ $integral dY$ $integral dT$ ( Ethiopia NMA dekadal rainfall rfe_merged ) climatology ][ X Y \|]	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 Y
Differentiate along X Y
Take differences along X Y

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

Note on units