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Foreseeable Co-occurring O3 and PM2.5 Pollution in Eastern China Driven by Climate Teleconnections
Xiaorui Zhang1,2, Meng Gao2,3, Gregory R Carmichael4
1Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430000, China.
Climate factors significantly influence China
Area of Science:
- Atmospheric Chemistry and Climate Science
Background:
- Co-occurrence of surface ozone (O3) and particulate matter (PM2.5) pollution (COP) is a major environmental issue in China.
- The impact of climate variability on COP frequency is not well understood.
Purpose of the Study:
- To investigate the influence of climate factors on the interannual variability of COP frequency in Eastern China.
- To identify predictive signals for COP frequency.
Main Methods:
- Analysis of three major modes of interannual variability in COP frequency.
- Correlation analysis with preseasonal sea surface temperatures (SSTs) and Arctic sea ice (SI) loss.
- Utilizing observational data and climate model simulations.
- Development of a predictive model for COP frequency.
Main Results:
- Three distinct modes of COP variability were identified: a consistent spatial pattern, a North-South dipole, and coastal sensitivity.
- Western Pacific cooling, Barents Sea SI loss, and North Atlantic Oscillation-driven SST anomalies were linked to these modes.
- These climate factors influence atmospheric circulation patterns, affecting pollutant distribution.
- A predictive model demonstrated capability in forecasting COP frequency three months ahead.
Conclusions:
- Climate factors, including SSTs and SI, play a crucial role in modulating COP frequency in China.
- Understanding these climate links allows for improved pollution control strategies.
- The findings support enhanced preparedness for air pollution events.
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