data: $integral dT$ $partialdiff sub X$ [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est

served from maproom.meteorwanda.gov.rw

∫dT ∂_X [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp ] : ∂_X Estimated Precipitation data

∫dT ∂_X Estimated Precipitation: CPC/Famine Early Warning System Dekadal Estimates.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (0000 1 Dec 1999) (0000 11 Dec 1999) (0000 21 Dec 1999) ... (0000 11 Jun 2026)] N= 956 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (19.95W) to (54.95E) by 0.1 N= 750 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (39.95S) to (39.95N) by 0.1 N= 800 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
maxncolor: 254
units: 4950.35534993031 meter radian^-1 east second

References

Love,T 2002: The Climate Prediction Center Rainfall Algorithm Version 2

Last updated: Tue, 15 Aug 2017 14:04:01 GMT
Expires: Mon, 21 Aug 2017 00:00:00 GMT

Data Views

	T	X	Y
$integral dT$ $partialdiff sub X$ [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp ] [ 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 X Y T
Differentiate along X Y T
Take differences along X Y T