Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites
Abstract Accurate ground-level ozone (O3) estimation is crucial for assessing health impacts and designing control strategies. Traditional polar-orbit satellites provide limited, one-time measurements, missing O3’s diurnal variability. Here, we utilize a next-generation geostationary satellite with...
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Nature Portfolio
2025-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-58652-2 |
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| author | Siwei Li Ge Song Jia Xing Jiaxin Dong Maolin Zhang Chunying Fan Shiyao Meng Jie Yang Lechao Dong Wei Gong |
| author_facet | Siwei Li Ge Song Jia Xing Jiaxin Dong Maolin Zhang Chunying Fan Shiyao Meng Jie Yang Lechao Dong Wei Gong |
| author_sort | Siwei Li |
| collection | DOAJ |
| description | Abstract Accurate ground-level ozone (O3) estimation is crucial for assessing health impacts and designing control strategies. Traditional polar-orbit satellites provide limited, one-time measurements, missing O3’s diurnal variability. Here, we utilize a next-generation geostationary satellite with ultraviolet capabilities to retrieve hourly O3 concentrations, achieving high accuracy (R2 = 0.94) and improving daily maximum 8-hour estimates, particularly in semi-urban areas (R2 + 0.10, error reduction >7 μg/m³). Our analysis reveals a 30% drop in O3-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 O3 diurnal variability through refined hourly data on photochemical precursors and radiation, providing a scientific basis for health assessments and informing O3 pollution regulations in China. |
| format | Article |
| id | doaj-art-6240c2f0cb134292a8da8eff5aed27b6 |
| institution | OA Journals |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-6240c2f0cb134292a8da8eff5aed27b62025-08-20T02:17:09ZengNature PortfolioNature Communications2041-17232025-04-0116111210.1038/s41467-025-58652-2Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellitesSiwei Li0Ge Song1Jia Xing2Jiaxin Dong3Maolin Zhang4Chunying Fan5Shiyao Meng6Jie Yang7Lechao Dong8Wei Gong9Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan UniversityHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan UniversityDepartment of Civil and Environmental Engineering, the University of TennesseeHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan UniversityHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan UniversityHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan UniversitySchool of Electronic Information, Wuhan UniversityHubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan UniversityCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological AdministrationPerception and Effectiveness Assessment for Carbon-neutrality Efforts, Engineering Research Center of Ministry of Education, Institute for Carbon Neutrality, Wuhan UniversityAbstract Accurate ground-level ozone (O3) estimation is crucial for assessing health impacts and designing control strategies. Traditional polar-orbit satellites provide limited, one-time measurements, missing O3’s diurnal variability. Here, we utilize a next-generation geostationary satellite with ultraviolet capabilities to retrieve hourly O3 concentrations, achieving high accuracy (R2 = 0.94) and improving daily maximum 8-hour estimates, particularly in semi-urban areas (R2 + 0.10, error reduction >7 μg/m³). Our analysis reveals a 30% drop in O3-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 O3 diurnal variability through refined hourly data on photochemical precursors and radiation, providing a scientific basis for health assessments and informing O3 pollution regulations in China.https://doi.org/10.1038/s41467-025-58652-2 |
| spellingShingle | Siwei Li Ge Song Jia Xing Jiaxin Dong Maolin Zhang Chunying Fan Shiyao Meng Jie Yang Lechao Dong Wei Gong Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites Nature Communications |
| title | Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites |
| title_full | Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites |
| title_fullStr | Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites |
| title_full_unstemmed | Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites |
| title_short | Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites |
| title_sort | unraveling overestimated exposure risks through hourly ozone retrievals from next generation geostationary satellites |
| url | https://doi.org/10.1038/s41467-025-58652-2 |
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