served from IRI/LDEO Climate Data Library
NOAA NCEP CPC FEWS Africa DAILY ARC2 daily est_prcp: Estimated Precipitation data
NOAA NCEP CPC FEWS Africa DAILY ARC2 daily Estimated Precipitation: CPC/Africa Rainfall Climatology 2: Daily Values.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01 12:00:00) ordered (1 Jan 1983) to (6 Oct 2024) by 1.0 N= 15255 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
- bufferwordsize
- 4
- CE
- 600
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 1.0
- scale_max
- 600.0
- scale_min
- 0.0
- standard_name
- lwe_precipitation_rate
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- colorscale
Last updated: Mon, 07 Oct 2024 14:53:03 GMT
Expires: Tue, 08 Oct 2024 14:35:00 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 ARC2 daily est_prcp[ X Y | T] | M | M | M |
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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