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DOI10.5194/acp-21-17291-2021
Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes
Trömel S.; Simmer C.; Blahak U.; Blanke A.; Doktorowski S.; Ewald F.; Frech M.; Gergely M.; Hagen M.; Janjic T.; Kalesse-Los H.; Kneifel S.; Knote C.; Mendrok J.; Moser M.; Köcher G.; Mühlbauer K.; Myagkov A.; Pejcic V.; Seifert P.; Shrestha P.; Teisseire A.; Von Terzi L.; Tetoni E.; Vogl T.; Voigt C.; Zeng Y.; Zinner T.; Quaas J.
发表日期2021
ISSN1680-7316
起始页码17291
结束页码17314
卷号21期号:23
英文摘要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. © 2021 Silke Trömel et al.
语种英语
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/246403
作者单位Institute for Geosciences, Department of Meteorology, University of Bonn, Bonn, 53121, Germany; Laboratory for Clouds and Precipitation Exploration, Geoverbund ABC/J, Bonn, 53121, Germany; Deutscher Wetterdienst (DWD), Offenbach, 63067, Germany; Institute for Meteorology, Universität Leipzig, Leipzig, 04103, Germany; Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft-und Raumfahrt, Oberpfaffenhofen, 82234, Germany; Deutscher Wetterdienst (DWD), Observatorium Hohenpeißenberg, Hohenpeißenberg, 82383, Germany; Meteorological Institute Munich, Ludwig-Maximilians-Universität München, Munich, 80333, Germany; Institute of Geophysics and Meteorology, University of Cologne, Cologne, 50969, Germany; Faculty of Medicine, University of Augsburg, Augsburg, 86159, Germany; Institute for Physics of the Atmosphere, University Mainz, Mainz, 55099, Germany; Radiometer Physics GmbH, Meckenheim, 53340, Germany; Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, 04318, Germany
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GB/T 7714
Trömel S.,Simmer C.,Blahak U.,et al. Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes[J],2021,21(23).
APA Trömel S..,Simmer C..,Blahak U..,Blanke A..,Doktorowski S..,...&Quaas J..(2021).Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(23).
MLA Trömel S.,et al."Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.23(2021).
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