2023
DOI: 10.5194/acp-23-1131-2023
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Climate-driven deterioration of future ozone pollution in Asia predicted by machine learning with multi-source data

Abstract: Abstract. Ozone (O3) is a secondary pollutant in the atmosphere formed by photochemical reactions that endangers human health and ecosystems. O3 has aggravated in Asia in recent decades and will vary in the future. In this study, to quantify the impacts of future climate change on O3 pollution, near-surface O3 concentrations over Asia in 2020–2100 are projected using a machine learning (ML) method along with multi-source data. The ML model is trained with combined O3 data from a global atmospheric chemical tra… Show more

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Cited by 20 publications
(7 citation statements)
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“…Further studies could investigate the tagged contributions to the trends in the spatial and seasonal distribution of ozone (e.g., Wang et al 2022, Fiore et al, 2022, which may help us enhance our understanding of various processes responsible for these trends. While previous studies used the TOAST tagging to understand the trends in surface ozone over United States (e.g., Li et al, 2023a), free tropospheric ozone over Southeast Asia (e.g., Li et al, 2023b) and over East Asia in future scenarios (e.g., Hou et al, 2023), we recommend such studies be extended to other regions of interest. Comparison of smaller time periods (2000-2010, and 2010-2018) could also be considered to understand the contrasting effect of increasing and decreasing East Asian precursor emissions respectively.…”
Section: Discussionmentioning
confidence: 99%
“…Further studies could investigate the tagged contributions to the trends in the spatial and seasonal distribution of ozone (e.g., Wang et al 2022, Fiore et al, 2022, which may help us enhance our understanding of various processes responsible for these trends. While previous studies used the TOAST tagging to understand the trends in surface ozone over United States (e.g., Li et al, 2023a), free tropospheric ozone over Southeast Asia (e.g., Li et al, 2023b) and over East Asia in future scenarios (e.g., Hou et al, 2023), we recommend such studies be extended to other regions of interest. Comparison of smaller time periods (2000-2010, and 2010-2018) could also be considered to understand the contrasting effect of increasing and decreasing East Asian precursor emissions respectively.…”
Section: Discussionmentioning
confidence: 99%
“…Many studies have reported that future climate change will have significant influences on O3 pollution in China through changing meteorological factors (e.g., Li et al, 2023;Wang et al, 2022). Here, the frequencies of extreme months with high T2m and low RH and the frequencies of extreme months with SLP and 500 hPa GPH that have moderate to high correlation to those in the polluted months in the four regions of China, under the sustainable (SSP1-2.6) and high forcing (SSP5-8.5) scenarios during 2021-2100 from CMIP6 multi-model results, are presented in Figures 9 and 10, respectively.…”
Section: Historical and Future Changes In The Meteorological Conditionsmentioning
confidence: 99%
“…In addition to precursor emissions, recent evidences have pointed out that variations in meteorological parameters due to climate change also play vital roles in influencing O 3 concentrations (Doherty et al, 2013; Fu & Tian, 2019; Gong & Liao, 2019; Jacob & Winner, 2009; Kavassalis & Murphy, 2017; H. Li et al, 2023; M. Li et al, 2023; Lu, Zhang, Chen, et al, 2019; Lu, Zhang, & Shen, 2019; P. Wang et al, 2022; Yang et al, 2014, 2022; Zhou et al, 2022). Several studies have estimated future O 3 changes in China under different scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…H. Li et al. (2023) predicted a strong O 3 ‐climate penalty over eastern China and suggested that the future climate change would expand the summertime O 3 pollution from northern China to southern China and extend it into the cold season. To mitigate risks associated with climate change, the Chinese government has committed to reach peak carbon emissions before 2030 and achieve carbon neutrality by 2060.…”
Section: Introductionmentioning
confidence: 99%