served from maproom.meteorwanda.gov.rw
root mean sq anom ∂X [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp ] : ∂X Estimated Precipitation data
root mean sq anom ∂X Estimated Precipitation: CPC/Famine Early Warning System Dekadal Estimates.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Dec 1999) (0000 16 Dec 1999 - 1200 26 Dec 1999) (1200 26 Dec 1999 - 2400 5 Jan 2000) ... (1200 26 May 2026 - 2400 5 Jun 2026)] N= 954 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
- 0.0572957795130823 meter radian-1 east
- history
- Averaged over X[19.95W, 54.95E]
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
Views
data as colors
data as contours| T | Y | |
 root mean sq anom $partialdiff sub X$ [ NOAA NCEP CPC FEWS Africa TEN-DAY RFEv2 est_prcp ] [ 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
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