CHIRPS

Datasets:

  • CHIRPS Daily Dataset
  • CHIRPS Pentad Dataset
  • CHIRPS Prelim Pentad Dataset

Description: 

  • CHIRPS Pentad/Daily: The Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. Spanning 50°S-50°N (and all longitudes) and ranging from 1981 to near-present, CHIRPS incorporates an in-house climatology, CHPclim, 0.05° resolution satellite imagery, and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. CHIRPS is produced by the Climate Hazards Center at the University of California Santa Barbara.
  • CHIRPS Prelim Pentad: The Climate Hazards Center InfraRed Precipitation With Station Data-Prelim (CHIRPS-Prelim) is a blend of CHIRPS data with in situ precipitation data to unbias the data and enhance its accuracy. The process of generating CHIRPS- Prelim is similar to the CHIRPS process, with the main difference being its reliance on Global Telecommunication System (GTS) stations only, which are available in near-real time. Blending of CHIRP with GTS-only stations allows for the latency of CHIRPS- Prelim to be <5 days. Note that, in general, the differences in CHIRPS-Prelim and CHIRPS are within acceptable limits, as both data sets share the same climatological mean.

Organization: University of California, Santa Barbara (UCSB)

Website: CHIRPS Website

Google Earth Engine Catalog: 

Spatial resolution: 4.8-km grid (1/20 deg)

Time Span: 

  • CHIRPS Daily: 1981 to Present (updated monthly)
  • CHIRPS Pentad: 1981 to Present (updated monthly)
  • CHIRPS Prelim Pentad: 2015 to Present (updated weekly)

Variables:

  • Precipitation

Terms of Use:

  • These datasets are in the public domain. To the extent possible under law, Pete Peterson has waived all copyright and related or neighboring rights to Climate Hazards Group Infrared Precipitation with Stations (CHIRPS).

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/10.3133/ds832

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