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First 5316 results for ” Gerard van der Schrier en Emma Aalbers. 8: Andreas Sterl”

  1. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

    The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

    X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

    Publication

  2. The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: case study over dust and smoke regions

    Global quantitative aerosol information has been derived from MODerate Resolution Imaging Spectro...

    Wu, M de Graaf, M Menenti | Status: published | Journal: J. Geophys. Res. | Volume: 122 | Year: 2017 | First page: 8801 | Last page: 8815 | doi: 10.1002/2016JD026355

    Publication

  3. Interactive comment on “Medium-range mid-tropospheric transport of ozone and precursors over Africa: two numerical case-studies in dry and wet seasons” by B. Sauvage et al.

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    TPC van Noije | Journal: Atm. Chem. Phys. Disc. | Volume: 7 | Year: 2007 | First page: S1463 | Last page: S1471

    Publication

  4. Study on the system mix of radiosonde aircraft and satellite observations in the North Atlantic region. Observational characteristics and data processing

    Study on the system mix of radiosonde aircraft and satellite observations in the North Atlantic r...

    H.M. de Jong | Year: 1976 | Pages: 101

    Publication

  5. Retrievals of Precipitable Water Vapor and Aerosol Optical Depth from direct sun measurements with EKO MS711 and MS712 Spectroradiometers

    Based on the strict radiative transfer algorithm, a new method is developed to derive the Precipi...

    Qiao, C., Liu, S., Huo, J., Mu, X., Wang, P., Jia, S., Fan, X., and Duan, M | Journal: The EGU interactive community platform | Year: 2022 | doi: https://doi.org/10.5194/egusphere-2022-315

    Publication