Independent Variables (Grids)

Time (time)	grid: /T (julian_day) ordered (1 Jan 1981) to (31 Dec 2020) by 1.0 N= 14610 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 (39.97S) to (39.975N) by 0.04999687 N= 1600 pts :grid

Other Info

acknowledgements

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.

creator_email

pete@geog.ucsb.edu

creator_name

Pete Peterson

date_created

2015-02-20

documentation

http://pubs.usgs.gov/ds/832/

faq

http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ

ftp_url

ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/

institution

Climate Hazards Group. University of California at Santa Barbara

note

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.

reference

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.

title

CHIRPS Version 2.0

version

Version 2.0

website

http://chg.geog.ucsb.edu/data/chirps/index.html

history

created by Climate Hazards Group

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: Thu, 11 Feb 2021 08:25:59 GMT