Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 30 min ago
Peer-reviewedCC BY 4.0Atmospheric Chemistry and Physics

Meteorological normalization of surface ozone variability across warm and cold seasons in China during 2015–2024

  1. 1Jinan University (Guangzhou, China)

Abstract

Surface ozone (O ₃ ) concentrations in China have continued to increase, but the roles of meteorological variability and longer-term changes remain uncertain, particularly across seasons and regions. Here, we combined LightGBM-based meteorological normalization with SHapley Additive exPlanations (SHAP) to investigate warm- and cold-season variations in maximum daily 8 h average O ₃ (MDA8 O ₃ ) across China during 2015–2024. The models reproduced daily MDA8 O ₃ variability reasonably well, with mean testing R ² values of 0.62 and 0.68 in the warm and cold seasons, respectively. Observed national mean MDA8 O ₃ increased by 2.0 and 2.2 µgm-3yr-1 in the two seasons, respectively. After meteorological normalization, the corresponding trends were 1.1 and 1.2 µgm-3yr-1, indicating that meteorological variability alone cannot fully explain the observed increases. The normalized long-term component may reflect changes in precursor emissions, background O ₃ , regional transport, and other processes not explicitly represented in the model. SHAP analysis revealed distinct seasonal and regional meteorological associations. During the warm season, temperature and solar radiation were more important in northern inland and basin regions, whereas relative humidity and wind were more important in southern coastal regions. During the cold season, solar radiation dominated across most regions, while relative humidity was more important in the Pearl River Delta. Meteorological contributions generally shifted from negative during 2015–2019 to positive after 2019, amplifying O ₃ pollution in several regions. These findings highlight the importance of accounting for seasonal meteorological variability when evaluating long-term O ₃ trends in China.

Versions

Related

  1. Snow cover variability in the Western Beskids (Poland) during the 1951–2023 winter seasons
    Agata Drabek, Alicja Biesmer, Damian Absalon
    Scientific ReportsPeer-reviewedCC BY 4.0Full textAtmospheric science & meteorologyCrossref
  2. Resolving short-term meteorological variability amplifies projected glacier loss and sea-level rise
    Lander Van Tricht, Matthias Huss, Harry Zekollari +5
    Nature CommunicationsPeer-reviewedCC BY 4.0Full text1 citedAtmospheric science & meteorologyCrossrefEurope PMC
  3. Variability of suspended sediment transport dynamics between seasons and flow pathways in a small agricultural catchment
    Christopher Thoma, Borbala Szeles, Carmen Krammer +3
    Scientific ReportsPeer-reviewedCC BY 4.0Full textHydrology & soilsCrossref
  4. An assessment of Northern Hemisphere warm spell trends across seasons: spring warm spells increasing faster than projected
    Lualawi Mareshet Admasu, Rachel H White, Anaïs Orsi
    Environmental Research LettersPeer-reviewedCC BY 4.0Full textClimate scienceCrossref
  5. Sentinel-1 SAR time series for forest phenology: multimodal deep learning with meteorological fusion across deciduous broadleaf and evergreen needleleaf forests
    Yi Xiao, Frédéric Frappart, Yongshuo Fu +2
    Agricultural and Forest MeteorologyPeer-reviewedCC BY 4.0Full text1 citedEnvironmental science & pollutionStatisticsHAL
BibTeX
@article{ye2026meteorological,
  title = {{Meteorological normalization of surface ozone variability across warm and cold seasons in China during 2015–2024}},
  author = {Zhenying Ye and Run Liu and Tingting Hu and Guoxin Chen and Min Wu},
  journal = {Atmospheric Chemistry and Physics},
  year = {2026},
  month = oct,
  doi = {10.5194/acp-26-15291-2026},
  url = {https://doi.org/10.5194/acp-26-15291-2026},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Meteorological normalization of surface ozone variability across warm and cold seasons in China during 2015–2024
AU  - Zhenying Ye
AU  - Run Liu
AU  - Tingting Hu
AU  - Guoxin Chen
AU  - Min Wu
PY  - 2026
DA  - 2026/10/29
JO  - Atmospheric Chemistry and Physics
DO  - 10.5194/acp-26-15291-2026
UR  - https://doi.org/10.5194/acp-26-15291-2026
AB  - Surface ozone (O ₃ ) concentrations in China have continued to increase, but the roles of meteorological variability and longer-term changes remain uncertain, particularly across seasons and regions. Here, we combined LightGBM-based meteorological normalization with SHapley Additive exPlanations (SHAP) to investigate warm- and cold-season variations in maximum daily 8 h average O ₃ (MDA8 O ₃ ) across China during 2015–2024. The models reproduced daily MDA8 O ₃ variability reasonably well, with mean testing R ² values of 0.62 and 0.68 in the warm and cold seasons, respectively. Observed national mean MDA8 O ₃ increased by 2.0 and 2.2 µgm-3yr-1 in the two seasons, respectively. After meteorological normalization, the corresponding trends were 1.1 and 1.2 µgm-3yr-1, indicating that meteorological variability alone cannot fully explain the observed increases. The normalized long-term component may reflect changes in precursor emissions, background O ₃ , regional transport, and other processes not explicitly represented in the model. SHAP analysis revealed distinct seasonal and regional meteorological associations. During the warm season, temperature and solar radiation were more important in northern inland and basin regions, whereas relative humidity and wind were more important in southern coastal regions. During the cold season, solar radiation dominated across most regions, while relative humidity was more important in the Pearl River Delta. Meteorological contributions generally shifted from negative during 2015–2019 to positive after 2019, amplifying O ₃ pollution in several regions. These findings highlight the importance of accounting for seasonal meteorological variability when evaluating long-term O ₃ trends in China.
SN  - 1680-7324
ER  -