Dataset

Quasi-global satellite and observation based precipitation estimates over land, 1981 to near-real time

The Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data archive is a quasi-global (50S-50N), gridded 0.05 degree resolution, 1981 to near-real time precipitation time series. The terrestrial preciptation estimates, are available in daily to annual time intervals. In addition to the quasi-global extent, subsets of Western Hemisphere, Africa and the Central Americia/Caribbean regions are available. These are available in several formats (NetCDF, TIFF, BIL, PNG) and are located in separate subdirectories. Two CHIRPS products are produced operationally: a rapid preliminary version, and a later final version. The preliminary CHIRPS product is available, for the entire domain, two days after the end of a pentad (2nd, 7th, 12th, 17th, 22nd and 27th). The preliminary CHIRPS uses only Global Telecommunications System (GTS) and Conagua (Mexico) data. The final CHIRPS product takes advantage of several other stations sources and is complete sometime in the third week of the following month. Final products for all times/domains/formats are calculated at that time.

Global Climate Water precipitation soil fertility management soil water conservation continental

Contacts

Pete Peterson
Role: pointOfContact
Email: pete@geog.ucsb.edu
city: Santa Barbara
administrativeArea: California
postalCode: 93106
country: US
Url: https://chg.geog.ucsb.edu/data/chirps
Chris Funk
Role: author
Email: chris@geog.ucsb.edu
city: Santa Barbara
administrativeArea: California
postalCode: 93106
country: US

Temporal

Updated: 2017-10-26
Temporal extent: 1981 - 2022

Formats
  • WWW:LINK
  • citation
  • image/tiff
  • canonical
Links
ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/docs/USGS-DS832.CHIRPS.pdf
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.
data.chc.ucsb.edu-global
data.chc.ucsb.edu-global

Updated: 2017-10-26 Edit me on GIT