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First 4137 results for ” and C. Retscher”

1. Validation of ash optical depth and layer height retrieved from passive satellite sensors using EARLINET and airborne lidar data: the case of the Eyjafjallajökull eruption

   The vulnerability of the European airspace to volcanic eruptions was brought to the attention of ...

   D Balis, ME Koukouli, N Siomos, S Dimopoulos, L Mona, G Pappalardo, F Marenco, L Clarisse, LJ Ventress, E Carboni, RG Grainger, P Wang, G Tilstra, RJ van der A, N Theys | Status: published | Journal: Atm. Chem. Phys. | Volume: 16 | Year: 2016 | First page: 5705 | Last page: 5720 | doi: 10.5194/acp-16-5705-2016

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2. 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

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3. 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...

   N Benas, JF Meirink, M Stengel, P Stammes | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 2863 | Last page: 2879 | doi: 10.5194/amt-12-2863-2019

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4. 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

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5. Verification of the Atmospheric Infrared Sounder (AIRS) and the Microwave Limb Sounder (MLS) ozone algorithms based on retrieved daytime and night-time ozone

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   W. Wang, T. Cheng, R.J. van der A, A.T.J. de Laat, and J.E. Williams | Journal: Atmos. Meas. Tech. | Year: 2021 | doi: 10.5194/amt-14-1673-2021

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