Dr. Maximilian Maahn

Dr. Maximilian Maahn

Research Fellow

Institut für Meteorologie
Stephanstraße 3, Room 7
04103 Leipzig

Phone: +49 341 97-32853
Fax: +49 341 97-32899


You find my personal web page at http://monsun.meteo.uni-leipzig.de/~dokuwiki/doku.php?id=user:mmaahn

Professional career

  • since 07/2020
    Leipzig University
  • 03/2016 - 05/2020
    Cooperative Institute for Research in Environmental Sciences (CIRES) of the NOAA Earth System Research Laboratories and the University of Colorado Boulder
  • 05/2011 - 02/2016
    University of Cologne
  • 01/2011 - 05/2011
    Bonn University


  • 05/2011 - 01/2015
    University of Cologne: Meteorology (PhD). Thesis: Exploiting vertically pointing Doppler radar for advancing snow and ice cloud observations.
  • 01/2009 - 06/2009
    University Centre in Svalbard: Semester abroad
  • 10/2005 - 11/2010
    Bonn University: Meteorology (Diplom). Thesis: Measuring Precipitation with Micro Rain Radars in Svalbard.

See the ORCID profile https://orcid.org/0000-0002-2580-9100 or Google Scholar https://scholar.google.com/citations?user=vgyek20AAAAJ for a list of publications.

  • Characterising the spatial variability of ice water content in and below mixed-phase clouds (B08)
    Maahn, Maximilian
    Duration: 01/2021 - 12/2023
    Funded by: DFG Deutsche Forschungsgemeinschaft
    Involved organisational units of Leipzig University: Institut für Meteorologie
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more projects

  • Maahn, M.; Turner, D. D.; Ebell, K.; Comstock, J. M.; Mace, G. G.; Posselt, D. J.; Löhnert, U.
    Optimal Estimation Retrievals and Their Uncertainties: What Every Atmospheric Scientist Should Know
    Bulletin of the American Meteorological Society. 2020. 101 (9). pp. E1512-E1523
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  • Maahn, M.; Goren, T.; Shupe, M. D.; de Boer, G.
    Liquid Containing Clouds at the North Slope of Alaska Demonstrate Sensitivity to Local Industrial Aerosol Emissions
    Geophysical Research Letters. 2021.
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  • Luke, E.; Yang, F.; Kollias, P.; Vogelmann, A. M.; Maahn, M.
    New insights into ice multiplication using remote-sensing observations of slightly supercooled mixed-phase clouds in the Arctic
    Proceedings of the National Academy of Sciences of the United States of America. 2021. 118 (13). pp. 1-9
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  • Vogl, T.; Maahn, M.; Kneifel, S.; Schimmel, W.; Moisseev, D.; Kalesse-Los, H.
    Using artificial neural networks to predict riming from Doppler cloud radar observations.
    Atmospheric Measurement Techniques. 2021. pp. 365-381
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  • Mech, M.; Maahn, M.; Kneifel, S.; Ori, D.; Orlandi, E.; Kollias, P.; Schemann, V.; Crewell, S.
    PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere
    Geoscientific Model Development. 2020. 13 (9). pp. 4229-4251
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more publications