Preprints
https://doi.org/10.5194/acp-2021-346
https://doi.org/10.5194/acp-2021-346

  21 May 2021

21 May 2021

Review status: a revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Overview: Fusion of Radar Polarimetry and Numerical Atmospheric Modelling Towards an Improved Understanding of Cloud and Precipitation Processes

Silke Trömel1,2, Clemens Simmer1, Ulrich Blahak3, Armin Blanke1, Florian Ewald4, Michael Frech5, Mathias Gergely5, Martin Hagen4, Sabine Hörnig6, Tijana Janjic7, Heike Kalesse6, Stefan Kneifel8, Christoph Knote7,9, Jana Mendrok3, Manuel Moser4,10, Gregor Möller7, Kai Mühlbauer1, Alexander Myagkov11, Velibor Pejcic1, Patric Seifert12, Prabhakar Shrestha1, Audrey Teisseire12, Leoni von Terzi8, Eleni Tetoni4, Teresa Vogl6, Christiane Voigt4,10, Yuefei Zeng7, Tobias Zinner7, and Johannes Quaas6 Silke Trömel et al.
  • 1Institute for Geosciences, Department of Meteorology, University of Bonn, Bonn, 53121, Germany
  • 2Laboratory for Clouds and Precipitation Exploration, Geoverbund ABC/J, Bonn, 53121, Germany
  • 3Deutscher Wetterdienst (DWD), Offenbach, 63067, Germany
  • 4Institute for Physics of the Atmosphere, DLR, Oberpfaffenhofen, 82234, Germany
  • 5Deutscher Wetterdienst (DWD), Observatorium Hohenpeißenberg, Hohenpeißenberg, 82383, Germany
  • 6Institute for Meteorology, Universität Leipzig, Leipzig, 04103, Germany
  • 7Meteorological Institute Munich, Ludwig-Maximilians-Universität München, 80333, Germany
  • 8Institute of Geophysics and Meteorology, University of Cologne, 50969, Germany
  • 9Faculty of Medicine, University of Augsburg, Augsburg, 86159 Germany
  • 10Institute for Physics of the Atmosphere, University Mainz, Mainz, 55099, Germany
  • 11Radiometer Physics GmbH, Meckenheim, 53340, Germany
  • 12Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig, Germany

Abstract. Cloud and precipitation processes are still the main source of uncertainties in numerical weather prediction and climate change projections. The Priority Program "Polarimetric Radar Observations meet Atmospheric Modelling (PROM)", funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), is guided by the hypothesis, that many uncertainties relate to the lack of observations suitable to challenge the representation of cloud and precipitation processes in atmospheric models. Such observations can, however, nowadays be provided e.g. by the recently installed dual-polarization C band weather radar network of the German national meteorological service in synergy with cloud radars and other instruments at German supersites and similar national networks increasingly available worldwide. While polarimetric radars potentially provide valuable in-cloud information e.g. on hydrometeor type, quantity, and microphysical cloud and precipitation processes, and atmospheric models employ increasingly higher moment microphysical modules, still considerable knowledge gaps exist in the interpretation of the observations and large uncertainties in the optimal microphysics model process formulations. PROM is a coordinated interdisciplinary effort to intensify the use of polarimetric radar observations in data assimilation, which requires a thorough evaluation and improvement of parametrizations of moist processes in atmospheric models. As an overview article of the inter-journal special issue "Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes", it outlines the knowledge achieved in PROM during the past two years and gives perspectives for the next four years.

Silke Trömel et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-346', Anonymous Referee #1, 06 Jun 2021
    • AC1: 'Reply on RC1', Silke Troemel, 01 Jul 2021
  • RC2: 'Comment on acp-2021-346', Anonymous Referee #2, 27 Jul 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-346', Anonymous Referee #1, 06 Jun 2021
    • AC1: 'Reply on RC1', Silke Troemel, 01 Jul 2021
  • RC2: 'Comment on acp-2021-346', Anonymous Referee #2, 27 Jul 2021

Silke Trömel et al.

Silke Trömel et al.

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Short summary
The article introduces the ACP readership to ongoing research in Germany on cloud and precipitation related process information inherent in polarimetric radar measurements, outlines pathways to inform atmospheric models with radar-based information and points to remaining challenges towards an improved fusion of radar polarimetry and atmospheric modelling.
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