Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites
Accurate ground-level ozone (O<sub>3</sub>) estimation is crucial for assessing health impacts and designing control strategies. Traditional polar-orbit satellites provide limited, one-time measurements, missing O<sub>3</sub>'s diurnal variability. Here, we utilize a next-generation geostationary satellite with ultraviolet capabilities to retrieve hourly O<sub>3</sub> concentrations, achieving high accuracy (R<sup>2</sup> = 0.94) and improving daily maximum 8-hour estimates, particularly in semi-urban areas (R<sup>2</sup> + 0.10, error reduction >7 μg/m³). Our analysis reveals a 30% drop in O<sub>3</sub>-related health risks compared to traditional polar-orbit estimates, with the greatest impact in semi-urban and rural areas where satellite data plays an important role due to the lack of ground measurements. This suggests prior estimates may have overestimated total mortality and urban-rural spillover effects. Our findings underscore the importance of geostationary satellites in capturing O<sub>3</sub> diurnal variability through refined hourly data on photochemical precursors and radiation, providing a scientific basis for health assessments and informing O<sub>3</sub> pollution regulations in China.
Authors
- Shiyao Meng (ORCID: https://orcid.org/0000-0003-4900-7505)
- Jie Yang (ORCID: https://orcid.org/0000-0001-8947-6176)
- Jia Xing (ORCID: https://orcid.org/0000-0001-7574-2381)
- Siwei Li (ORCID: https://orcid.org/0009-0006-1790-6265)
- Lechao Dong (ORCID: https://orcid.org/0000-0001-8352-574X)
- Wei Gong (ORCID: https://orcid.org/0000-0002-2276-8024)
- Ge Song (ORCID: https://orcid.org/0000-0001-5099-1306)
- Jiaxin Dong (ORCID: https://orcid.org/0000-0003-0666-3254)
- C. Fan (ORCID: https://orcid.org/0009-0008-2772-7070)
- Maolin Zhang (ORCID: https://orcid.org/0009-0008-6619-4115)
Institutions
- China Meteorological Administration (CN)
- Wuhan University of Technology (CN)
- Wuhan University (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- Chinese Academy of Meteorological Sciences (CN)
- Nano Carbon (Poland) (PL)
- University of Tennessee at Knoxville (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1038/s41467-025-58652-2
- Citations
- 7
- Primary Topic
- Air Quality and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 8.40