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    Challenges and Opportunities Offered by Geostationary Space Observations for Air Quality Research and Emission Monitoring

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    Authors
    He, T.-L.
    Oomen, G.-M.
    Tang, W.
    Bouarar, I.
    Chance, K.
    Clerbaux, C.
    Edwards, D.P.
    Eskes, H.
    Gaubert, B.
    Granier, C.
    Guevara, M.
    Jacob, D.J.
    Kaiser, J.
    Kim, J.
    Kondragunta, S.
    Liu, X.
    Marais, E.A.
    Miyazaki, K.
    Park, R.
    Peuch, V.-H.
    Pfister, G.
    Richter, A.
    Stavrakou, T.
    Suleiman, R.M.
    Turner, A.J.
    Veihelmann, B.
    Zeng, Z.-C.
    Brasseur, G.P.
    Show allShow less
    Discipline
    Physical sciences
    Subject
    Remote sensing
    Satellite observations
    Forecasting
    Air pollution
    Air quality
    Atmospheric composition
    Audience
    Scientific
    Date
    2025
    Metadata
    Show full item record
    Description
    Space-borne remote sensing of atmospheric chemical constituents is crucial for monitoring and better understanding global and regional air quality. Since the 1990s, the continuous development of instruments onboard low-Earth orbiting (LEO) satellites has led to major advances in air quality research by providing daily global measurements of atmospheric chemical species. The next generation of atmospheric composition satellites measures from the geostationary Earth orbit (GEO) with hourly temporal resolution, allowing the observation of diurnal variations of air pollutants. The first two instruments of the GEO constellation coordinated by the Committee on Earth Observation Satellites (CEOS), the Geostationary Environment Monitoring Spectrometer (GEMS) for Asia and the Tropospheric Emissions: Monitoring of Pollution (TEMPO) for North America, were successfully launched in 2020 and 2023, respectively. The European component, Sentinel-4, is planned for launch in 2025. This work provides an overview of satellite missions for atmospheric composition monitoring and the state of the science in air quality research. We cover recent advances in retrieval algorithms, the modeling of emissions and atmospheric chemistry, data assimilation, and the application of machine learning based on satellite data. We discuss the challenges and opportunities in air quality research in the era of GEO satellites and provide recommendations on research priorities for the near future.
    Citation
    He, T.-L.; Oomen, G.-M.; Tang, W.; Bouarar, I.; Chance, K.; Clerbaux, C.; Edwards, D.P.; Eskes, H.; Gaubert, B.; Granier, C.; Guevara, M.; Jacob, D.J.; Kaiser, J.; Kim, J.; Kondragunta, S.; Liu, X.; Marais, E.A.; Miyazaki, K.; Park, R.; Peuch, V.-H.; Pfister, G.; Richter, A.; Stavrakou, T.; Suleiman, R.M.; Turner, A.J.; Veihelmann, B.; Zeng, Z.-C.; Brasseur, G.P. (2025). Challenges and Opportunities Offered by Geostationary Space Observations for Air Quality Research and Emission Monitoring. , Bulletin of the American Meteorological Society, Vol. 106, Issue 5, E939-E963, DOI: 10.1175/BAMS-D-23-0145.1.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/14048
    doi: http://dx.doi.org/10.1175/BAMS-D-23-0145.1
    url:
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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