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The Climate Hazards Center Infrared Precipitation with Stations, Version 3

Funk, Chris ; Peterson, Pete; Harrison, Laura; Saldivar, Robert; Landsfeld, Martin; Pedreros, Diego; Shukla, Shraddhanand; Fink, Andreas H. ORCID iD icon 1,2; Davenport, Frank; Peterson, Seth; Turner, William; Sonnier, Austin; Budde, Michael; Tabor, Karyn; Verdin, James; Hauzaree, Disha; Naim, Mohamed; Alaso, Daniella; Husak, Gregory
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS) data stream combines: (1) a high-resolution climatology, (2) thermal infrared (TIR) geostationary satellite observations, and (3) station observations. In the past, CHIRPS version 2 (CHIRPS2) has proven to be valuable for drought monitoring, hydrologic modeling, scientific studies and agricultural decision making. Version 3 (CHIRPS3) improves each of these components. The new version, CHIRPS3 extends to 60°S/N, adopts an improved variance-preserving TIR-to-precipitation estimation method, uses many more stations and station sources than the original CHIRPS2 product, and implements gauge-undercatch correction. In this paper, we evaluate the performance of satellite-only CHIRP3, CHIRP2, IMERG, PERSIANN- CCS, and GPI using high quality interpolated data in twelve regions with dense station coverage. CHIRP3 represents both the observed mean and variance more accurately than CHIRP2. A usage section in Morocco shows that CHIRPS3 better captures the observed rainfall variability when compared to CHIRPS2. This section also demonstrates how station data should be gauge-undercatch-corrected when validating CHIRPS3.


Verlagsausgabe §
DOI: 10.5445/IR/1000193110
Veröffentlicht am 11.05.2026
Originalveröffentlichung
DOI: 10.1038/s41597-026-07096-4
Scopus
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung (IMK)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000193110
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Scientific Data
Verlag Nature Research
Band 13
Heft 1
Seiten Art.Nr: 718
Vorab online veröffentlicht am 11.04.2026
Nachgewiesen in Scopus
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Globale Ziele für nachhaltige Entwicklung Ziel 13 – Maßnahmen zum Klimaschutz
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