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Direct Retrieval of NO2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network
Satellite retrievals of columnar nitrogen dioxide (NO2) are essential for the characterization of...
Li, C., Xu, X., Liu, X., Wang, J., Sun, K., van Geffen, J., Zhu, Q., Ma, J., Jin, J., Qin, K., He, Q., Xie, P., Ren, B. and Cohen, R. C. | Journal: JOURNAL OF REMOTE SENSING | Year: 2022 | doi: https://doi.org/10.34133/2022/9817134
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The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques
In response to the COVID-19 pandemic, most countries implemented public health ordinances that re...
Jasper S. Wijnands, Kerry A. Nice, Sachith Seneviratne, Jason Thompson, Mark Stevenson | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | doi: https://doi.org/10.1016/j.apr.2022.101438
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Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China
Using 14 years (2007–2020) of data from passive (MODIS/Aqua) and active (CALIOP/CALIPSO) satellit...
Liu, Y., Lin, T., Hong, J., Wang, Y., Shi, L., Huang, Y., Wu, X., Zhou, H., Zhang, J., and de Leeuw, G. | Journal: Atmos. Chem. Phys. | Year: 2021 | doi: 10.5194/acp-21-12331-2021
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First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China
Aeolus is the first satellite mission to directly observe wind profile information on a global sc...
Guo, J., Liu, B., Gong, W., Shi, L., Zhang, Y., Ma, Y., Zhang, J., Chen, T., Bai, K., Stoffelen, A., de Leeuw, G., and Xu, X. | Journal: Atmos. Chem. Phys. | Year: 2021 | doi: 10.5194/acp-21-2945-2021
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Defining aerosol layer height for UVAI interpretation using aerosol vertical distributions characterized by MERRA-2
Aerosol vertical distributions are important for aerosol radiative forcing assessments and atmosp...
J. Sun, J.P. Veefkind, P. van Velthoven, L.G. Tilstra, J. Chimot, S. Nanda, P.F. Levelt | Journal: Atmospheric Chemistry and Physics | Year: 2020 | doi: https://doi.org/10.5194/acp-2020-39
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