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.

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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
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article

Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites

Shiyao Meng, Jie Yang, Jia Xing, Siwei Li et al.
7 citations
Nature Communications
Air Quality and Health Impacts
8.40
article

Unraveling overestimated exposure risks through hourly ozone retrievals from next-generation geostationary satellites

Shiyao Meng, Jie Yang, Jia Xing, Siwei Li, Lechao Dong, Wei Gong, Ge Song, Jiaxin Dong, C. Fan, Maolin Zhang
article en
7 citations

Abstract

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.

Nature CommunicationsVol. 16(1)
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)
Climate action
Openalex Percentile: Top 2%
Air Quality and Health Impacts
8.40
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