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First 749 results for ” K Franke”

  1. Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples

    The modification of an existing cloud property retrieval scheme for the Spinning Enhanced Visibl...

    Hartwig Deneke, Carola Barrientos-Velasco, Sebastian Bley, Anja Hünerbein, Stephan Lenk, Andreas Macke, Jan Fokke Meirink, Marion Schroedter-Homscheidt, Fabian Senf, Ping Wang, Frank Werner, and Jonas Witthuhn | Journal: Atm. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 5107 | Last page: 5126 | doi: doi:10.5194/amt-14-5107-2021

    Publication

  2. The ExtremeX global climate model experiment: Investigating thermodynamic and dynamic processes contributing to weather and climate extremes

    The mechanisms leading to the occurrence of extreme weather and climate events are varied and com...

    Kathrin Wehrli, Fei Luo, Mathias Hauser, Hideo Shiogama, Daisuke Tokuda, Hyungjun Kim, Dim Coumou, Wilhelm May, Philippe Le Sager, Frank Selten, Olivia Martius, Robert Vautard, Sonia I Seneviratne | Journal: Earth System Dynamics | Volume: 13 | Year: 2022 | First page: 1167 | Last page: 1196 | doi: https://doi.org/10.5194/esd-13-1167-2022

    Publication

  3. Global distribution of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experment: Comparison to ISCCP data

    Satellite measurements of the Earth's reflected sunlight in the oxygen A band around 761 nm, as m...

    RBA Koelemeijer, P Stammes, JW Hovenier, J de Haan | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4151 | doi: 10.1029/2001JD000840

    Publication

  4. 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

  5. Extreme Events in the European Renewable Power System: Validation of a Modeling Framework to Estimate Renewable Electricity Production and Demand from Meteorological Data

    With the need to reduce greenhouse gas emissions, the coming decades will see a transition of Eur...

    L van der Most, K van der Wiel, RMJ Benders, PW Gerbens-Leenes, P Kerkmans, R Bintanja | Journal: Renewable and Sustainable Energy Reviews | Volume: 170 | Year: 2022 | First page: 112987 | doi: 10.1016/j.rser.2022.112987

    Publication