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UCSB CHIRPS v2p0 daily africa 0p05

CHIRPS v2p0 daily africa 0p05 from UCSB: UC Santa Barbara.


outlinean outline showing all sub-datasets and variables contained in this dataset
CHIRPS Home PageCHIRPS page at UCSB Climate Hazards Group
USGS Data Series 832Reference paper PDF

Datasets and variables

UCSB CHIRPS v2p0 daily africa 0p05 prcp[ X Y | T]

Independent Variables (Grids)

Time (time) grid: /T (julian_day) ordered (1 Jan 1981) to (29 Feb 2016) by 1.0 N= 12843 pts :grid
Longitude (longitude) grid: /X (degree_east) ordered (19.975W) to (54.975E) by 0.05 N= 1500 pts :grid
Latitude (latitude) grid: /Y (degree_north) ordered (39.975N) to (39.975S) by 0.05 N= 1600 pts :grid

Other Info

The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 "Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World" with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for "Famine Early Warning Systems Network Support," the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for "A Land Data Assimilation System for Famine Early Warning," SERVIR award #NNH12AU22I for "A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa," The National Oceanic and Atmospheric Administration award NA11OAR4310151 for "A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network," and the USGS Land Change Science Program.
Pete Peterson
Climate Hazards Group. University of California at Santa Barbara
IMPORTANT NOTE: As of 24 April 2015, all daily CHIRPS 2.0 data from year 2000 onward available in the Data Library were removed and new data requests for that period will access data reprocessed by the UCSB Climate Hazards Group. The reprocessing corrects a problem found in daily CHIRPS for the CPC-IR time period, 2000 – present. There was a problem creating the daily percent cold cloud duration (percent CCD) map used in the downscaling. Places with missing IR data were set to zero instead of missing. Anywhere this happened, the precipitation was set to zero. This was always a problem for Eastern Australia/Indonesia/Japan, where a gap between two geostationary satellites exists. There were a small number of times this problem occurred outside of these particular areas.
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.,
CHIRPS Version 2.0
Version 2.0
created by Climate Hazards Group


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.,

Last updated: Wed, 10 Jan 2018 16:08:51 GMT

Data Views

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