Large-scale climate patterns offer preseasonal hints on the co-occurrence of heat wave and O3 pollution in China

Meng Gao*, Fan Wang, Yihui Ding, Zhiwei Wu, Yangyang Xu, Xiao Lu, Zifa Wang*, Gregory R. Carmichael, Michael B. McElroy

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

8 Citations (Scopus)

Abstract

Heat waves and air pollution extremes exert compounding effects on human health and food security and may worsen under future climate change. On the basis of reconstructed daily O3 levels in China and meteorological reanalysis, we found that the interannual variability of the frequency of summertime co-occurrence of heat wave and O3 pollution in China is regulated mainly by a combination of springtime warming in the western Pacific Ocean, western Indian Ocean, and Ross Sea. These sea surface temperature anomalies impose influences on precipitation, radiation, etc., to modulate the co-occurrence, which were also confirmed with coupled chemistry–climate numerical experiments. We thus built a multivariable regression model to predict co-occurrence a season in advance, and correlation coefficient could reach 0.81 (P < 0.01) for the North China Plain. Our results provide useful information for the government to take actions in advance to mitigate damage from these synergistic costressors.
Original languageEnglish
Article numbere2218274120
Number of pages9
JournalProceedings of the National Academy of Sciences of the United States of America
Volume120
Issue number26
Early online date20 Jun 2023
DOIs
Publication statusPublished - 27 Jun 2023

Scopus Subject Areas

  • General

User-Defined Keywords

  • Air Pollution
  • Climate Patterns
  • Heat Extremes
  • Joint Hazards
  • Seasonal Prediction

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