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First 4227 results for ” M. and Pereira Marghidan”

  1. Long-term PM2.5 pollution over China Identification of PM2.5 pollution hotspots and source contributions

    Fine particulate matter, with an aerodynamic diameter ≤ 2.5 μm (PM2.5), is a severe problem in Ch...

    Ali, M.A., Z. Huang, M. Bilal, M.E. Assiri, A. Mhawish, J.E. Nichol. G. de Leeuw, M. Almazroui , Y. Wang, Y. Alsubhi | Journal: Science of the Total Environmenthttps://doi.org/10.1016/j.scitotenv.2023.164871. | Volume: 893 | Year: 2023 | First page: 164871 | doi: https://doi.org/10.1016/j.scitotenv.2023.164871

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  2. Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade.

    To reduce air pollution over China, a series of measures to decrease concentrations of aerosols a...

    de Leeuw, G., Kang, H., Fan, C., Li, Z., Fang, C., Zhang, Y. | Journal: Atm. Env.. | Volume: 301 | Year: 2023 | First page: 119676 | doi: https://doi.org/10.1016/j.atmosenv.2023.119676

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  3. To new heights by flying low: Comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals

    The sensitivity of satellites to air pollution close to the sea surface is decreased by the scatt...

    T. Riess K.F. Boersma W. van Roy J. de Laat E. Dammers J. van Vliet | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 5287 | Last page: 5304 | doi: 10.5194/amt-16-5287-2023

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  4. Introduction of the DISAMAR radiative transfer model: determining instrument specifications and analysing methods for atmospheric retrieval (version 4.1.5)

    DISAMAR (determining instrument specifications and analysing methods for atmospheric retrieval) i...

    de Haan, J. F., Wang, P., Sneep, M., Veefkind, J. P., and Stammes, P | Journal: Geoscientific Model Development | Year: 2022 | doi: https://doi.org/10.5194/gmd-15-7031-2022

    Publication

  5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

    Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

    Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

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