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

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

∫dT ∂_X [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp ] ∂_X Estimated Precipitation: CPC/Famine Early Warning System Dekadal Estimates.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) periodic (0000 1 Dec) to (2359 20 Nov) by 0.333333 N= 36 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 (40S) to (40N) by 0.1 N= 801 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
maxncolor: 254
units: 4950.35534993031 meter radian^-1 east second
history: Averaged over T2[0001 26 Nov 1999 - 0001 26 Nov 2000, 2357 25 Nov 2024 - 2357 25 Nov 2025]

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 ] climatology[ 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