data: mean $partialdiff sub Y$ [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est

served from maproom.meteorwanda.gov.rw

mean ∂_Y [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp climatology ] : ∂_Y Estimated Precipitation data

mean ∂_Y Estimated Precipitation: CPC/Famine Early Warning System Dekadal Estimates.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) periodic (2359 30 Nov - 2359 10 Dec) to (2359 20 Nov - 2359 30 Nov) by 0.333333 N= 36 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (39.95S) to (39.95N) by 0.1 N= 800 pts :grid

Other Info

bufferwordsize

CE

null

CS

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datatype

doublearraytype

maxncolor

254

units

0.0572957795130823 meter radian^-1 north

history

mean $partialdiff sub Y$ [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp climatology ]

Averaged over T2[Dec 1999 - Nov 2000, 2357 30 Nov 2024 - 2357 30 Nov 2025]
Averaged over X[20.05W, 55.05E]

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

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

Note on units