served from IRI/LDEO Climate Data Library
NOAA NCEP CPC FEWS Africa DAILY RFEv2 est_prcp: Estimated Precipitation data
NOAA NCEP CPC FEWS Africa DAILY RFEv2 Estimated Precipitation: CPC/Famine Early Warning System Daily Estimates.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 2000-10-31 12:00:00) ordered (31 Oct 2000) to (26 May 2023) by 1.0 N= 8243 pts :grid
- 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
- CE
- 1200
- CS
- 0
- datatype
- realarraytype
- gridid
- 181622256
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 1.0
- scale_max
- 1200.0
- scale_min
- 0.0
- standard_name
- lwe_precipitation_rate
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- colorscale
References
Love,T 2002: The Climate Prediction Center Rainfall Algorithm Version 2
Last updated: Sat, 27 May 2023 15:10:04 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP CPC FEWS Africa DAILY 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
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units