data: detrended-bfl $integral dX$ [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est

served from maproom.meteorwanda.gov.rw

detrended-bfl ∫dX [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp ] : Estimated Precipitation data

detrended-bfl Estimated Precipitation: CPC/Famine Early Warning System Dekadal Estimates.

Independent Variables (Grids)

Time: grid: /T (julian_day) ordered [ (2214 30 Nov 1999 - 0145 11 Dec 1999) (2214 10 Dec 1999 - 0145 21 Dec 1999) (1014 21 Dec 1999 - 1345 31 Dec 1999) ... (2215 31 May 2026 - 0144 11 Jun 2026)] N= 955 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (20.05W) to (55.05E) by 0.1 N= 752 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (40S) to (40N) by 0.1 N= 801 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
maxncolor: 254
units: 1.74532925199433×10^-05 meter radian east

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
NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2[est_prcp ]
detrended-bfl $integral dX$ [ 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