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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Pete Peterson</dc:contributor>
  <dc:contributor>Laura Harrison</dc:contributor>
  <dc:contributor>Robert Saldivar</dc:contributor>
  <dc:contributor>Martin Landsfeld</dc:contributor>
  <dc:contributor>Diego Pedreros</dc:contributor>
  <dc:contributor>Shraddhanand Shukla</dc:contributor>
  <dc:contributor>Andreas H. Fink</dc:contributor>
  <dc:contributor>Frank Davenport</dc:contributor>
  <dc:contributor>Seth H. Peterson</dc:contributor>
  <dc:contributor>William Turner</dc:contributor>
  <dc:contributor>Austin Sonnier</dc:contributor>
  <dc:contributor>Michael Budde</dc:contributor>
  <dc:contributor>Karyn Tabor</dc:contributor>
  <dc:contributor>James Verdin</dc:contributor>
  <dc:contributor>Disha Hauzaree</dc:contributor>
  <dc:contributor>Mohamed Naim</dc:contributor>
  <dc:contributor>Daniella Alaso</dc:contributor>
  <dc:contributor>Gregory Husak</dc:contributor>
  <dc:creator>Chris Funk</dc:creator>
  <dc:date>2026</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;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.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1038/s41597-026-07096-4</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Nature</dc:publisher>
  <dc:title>The Climate Hazards Center Infrared Precipitation with Stations, version 3</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>