PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 13, 2026Scientific Data7 citationsOpen Access

The Climate Hazards Center Infrared Precipitation with Stations, Version 3

CFChris D FunkPPPete PetersonLHLaura Harrison

Key Points

  • The study aims to evaluate the performance improvements of CHIRPS3 compared to its predecessor and other precipitation datasets.
  • Analysis of CHIRPS3 against CHIRPS2, IMERG, PERSIANN-CCS, and GPI.
  • Utilization of interpolated data across twelve densely monitored regions.
  • Implementation of gauge-undercatch correction for validating station data.
  • CHIRPS3 shows improved accuracy in representing observed mean and variance over CHIRPS2.
  • Performance evaluation indicates better rainfall variability capture in Morocco with CHIRPS3.
  • Enhancements include an improved TIR-to-precipitation estimation method and more extensive station data usage.

Abstract

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Funk et al. (2026) studied this question.

synapsesocial.com/papers/69dc88f43afacbeac03eab38https://doi.org/10.1038/s41597-026-07096-4
Ask AI
Helpful
Bookmark
Share
View Full Paper