data: root mean sq [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est

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

root mean sq Estimated Precipitation: CPC/Famine Early Warning System Dekadal Estimates.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (20W) to (55E) by 0.1 N= 751 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (40S) to (40N) by 0.1 N= 801 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

maxncolor

254

units

standard units*

0.001 meter

history

root mean sq [ 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 T[2359 30 Nov - 2359 10 Dec, 2359 20 Nov - 2359 30 Nov]

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

	X	Y
NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2[est_prcp ]
root mean sq [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp 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