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First 792 results for ” JCJH Aerts”

  1. Studying trends in aerosol presence using the Absorbing Aerosol Index derived from GOME-1, SCIAMACHY, and GOME-2

    In this paper we study 16-year long time series of the Absorbing Aerosol Index (AAI) for a select...

    LG Tilstra, M de Graaf, ONE Tuinder, RJ van der A, P Stammes | Conference: 2011 EUMETSAT Meteorological Satellite Conference | Organisation: EUMETSAT | Place: Oslo, Norway | Year: 2011 | First page: 0 | Last page: 0

    Publication

  2. Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile

    Satellite retrieval of vertical column densities (VCDs) of tropospheric nitrogen dioxide (NO2) is...

    M Liu, JT Lin, KF Boersma, G Pinardi, Y Wang, T Wagner, HJ Eskes | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 1 | Last page: 21 | doi: https://doi.org/10.5194/amt-12-1-2019

    Publication

  3. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

    Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

    L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

    Publication

  4. SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0

    In this paper, we present the implementation and evaluation of the aerosol microphysics module SA...

    H Kokkola, T Kuhn, A Laakso, TR Bergman, KEJ Lehtinen, T Mielonen, A Arola, S Stadtler, H Korhonen, S Ferrachat, U Lohmann, D Neubauer, I Tegen, C Siegenthaler-Le Drian, MGM Schultz, I Bey, P Stier, N Daskalakis, C Heald, S Romakkaniemi | Status: published | Journal: Geoscientific Model Development | Volume: 2018 | Year: 2018 | First page: 3833 | Last page: 3863 | doi: 10.5194/gmd-11-3833-2018

    Publication

  5. Aerosol Absorption over Land Derived from the Ultra-Violet Aerosol Index by Deep Learning.

    Quantitative measurements of aerosol absorptive properties, e.g., the absorbing aerosol optical d...

    J. Sun, P. Veefkind, P. Van Velthoven, P. Levelt | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | First page: 9692 | Last page: 9710 | doi: 10.1109/JSTARS.2021.3108669

    Publication