Detection and Attribution of Changes in Precipitation Extremes in China and Its Different Climate Zones

  • Wenhui Chen
  • , Huijuan Cui*
  • , Francis W. Zwiers
  • , Chao Li
  • , Jingyun Zheng
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Based on the observations and the phase 6 of Coupled Model Intercomparison Project (CMIP6) multimodel simulations, we conducted a detection and attribution analysis for the observed changes in intensity and frequency indices of extreme precipitation during 1961–2014 over the whole of China and within distinct climate regions across the country. A space–time analysis is simultaneously applied in detection so that spatial structure on the signals is considered. Results show that the CMIP6 models can simulate the observed general increases of extreme precipitation indices during the historical period except for the drying trends from southwestern to northeastern China. The anthropogenic (ANT) signal is detectable and attributable to the observed increase of extreme precipitation over China, with human‐induced greenhouse gas (GHG) increases being the dominant contributor. Additionally, we also detected the ANT and GHG signals in China’s temperate continental, subtropical–tropical monsoon, and plateau mountain climate zones, demonstrating the role of human activity in historical extreme precipitation changes on much smaller spatial scales.

Original languageEnglish
Pages (from-to)5373-5385
Number of pages13
JournalJournal of Climate
Volume37
Issue number20
DOIs
StatePublished - Oct 2024

Keywords

  • Anthropogenic effects/forcing
  • Climate change
  • Climate models
  • Precipitation
  • Trends

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