Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes

Troemel, Silke; Simmer, Clemens; Blahak, Ulrich; Blanke, Armin; Doktorowski, Sabine; Ewald, Florian; Frech, Michael; Gergely, Mathias; Hagen, Martin; Janjic, Tijana; Kalesse-Los, Heike; Kneifel, Stefan; Knote, Christoph; Mendrok, Jana; Moser, Manuel; Koecher, Gregor; Muehlbauer, Kai; Myagkov, Alexander; Pejcic, Velibor; Seifert, Patric; Shrestha, Prabhakar; Teisseire, Audrey; Terzi, Leonie von; Tetoni, Eleni; Vogl, Teresa; Voigt, Christiane; Zeng, Yuefei; Zinner, Tobias und Quaas, Johannes (2021): Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes. In: Atmospheric Chemistry and Physics, Bd. 21, Nr. 23: S. 17291-17314

Abstract

Cloud and precipitation processes are still a main source of uncertainties in numerical weather prediction and climate change projections. The Priority Programme 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, at present be provided 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 on hydrometeor type, quantity, and microphysical cloud and precipitation processes, and atmospheric models employ increasingly complex microphysical modules, considerable knowledge gaps still exist in the interpretation of the observations and in the optimal microphysics model process formulations. PROM is a coordinated interdisciplinary effort to increase the use of polarimetric radar observations in data assimilation, which requires a thorough evaluation and improvement of parameterizations 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, this article outlines the knowledge achieved in PROM during the past 2 years and gives perspectives for the next 4 years.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Physik
• Themengebiete: 500 Naturwissenschaften und Mathematik > 530 Physik
• ISSN: 1680-7316
• Sprache: Englisch