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First 4231 results for ” J. C. Y. Cheung and D. M. Stam”

  1. 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

  2. Ocean signatures in the total flux and polarization spectra of Earth-like exoplanets

    Context. Numerical simulations of starlight that is reflected by Earth-like exoplanets predict ha...

    Trees, V.J.H. and Stam, D.M | Journal: Astronomy & Astrophysics | Year: 2022 | doi: https://doi.org/10.1051/0004-6361/202243591

    Publication

  3. Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances

    The retrieval of geophysical parameters is increasingly dependent on synergistic use of satellite...

    M. de Graaf, L.G. Tilstra, and P. Stammes | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | doi: https://doi.org/10.5194/amt-12-5119-2019

    Publication

  4. FRESCO-B: a fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2

    The FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A band) algorithm is a simple, fast ...

    Desmons, M., P. Wang, P. Stammes and L.G. Tilstra | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2485-2019

    Publication

  5. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

    Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

    Benas, N., Meirink, J. F., Stengel, M., and Stammes, P | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2863-2019

    Publication