served from kmddl.meteo.go.ke
UCSB CHIRPS v2p0 monthly global precipitation: CHIRPS precipitation data
CHIRPS v2p0 monthly global CHIRPS precipitation from UCSB: UC Santa Barbara.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Nov 2024) by 1.0 N= 527 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (179.95E) by 0.05 N= 7200 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (49.975N) to (49.975S) by 0.05 N= 2000 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- 1500.0
- colorscalename
- prcp_monthlyrate_max1500_smooth
- CS
- 0.0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -9999.0
- pointwidth
- 1.0
- scale_max
- 1500.0
- scale_min
- 0.0
- standard_name
- lwe_precipitation_rate
- units
- mm /month
- standard units*
- 0.012 meter year-1
- colorscale
References
Funk, C. C, Peterson, P. J., Landsfeld, M. F., Pedreros, D. H., Verdin, J. P., Rowland, J. D., Romero, B. E., Husak, G. J. Michaelsen, J. C., and Verdin, A. P., 2014, A quasi-global precipitation time series for drought monitoring: U. S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832.
Last updated: Wed, 29 May 2024 07:29:02 GMT
Expires: Wed, 01 Jan 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 UCSB CHIRPS v2p0 monthly global[precipitation
c8113
] | |||
| UCSB CHIRPS v2p0 monthly global precipitation[ X Y | T] | M | M | M |
|---|---|---|---|
 UCSB CHIRPS v2p0 monthly global precipitation[ 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