Troemel, Silke, Simmer, Clemens ORCID: 0000-0003-3001-8642, Blahak, Ulrich, Blanke, Armin, Doktorowski, Sabine, Ewald, Florian ORCID: 0000-0002-5899-0890, Frech, Michael, Gergely, Mathias, Hagen, Martin ORCID: 0000-0003-4714-0775, Janjic, Tijana ORCID: 0000-0002-8837-0879, Kalesse-Los, Heike ORCID: 0000-0001-6699-7040, Kneifel, Stefan ORCID: 0000-0003-2220-2968, Knote, Christoph, Mendrok, Jana ORCID: 0000-0002-0032-2021, Moser, Manuel, Koecher, Gregor, Muehlbauer, Kai, Myagkov, Alexander, Pejcic, Velibor, Seifert, Patric, Shrestha, Prabhakar, Teisseire, Audrey, von Terzi, Leonie, Tetoni, Eleni ORCID: 0000-0003-3441-8803, Vogl, Teresa, Voigt, Christiane, Zeng, Yuefei, Zinner, Tobias and Quaas, Johannes ORCID: 0000-0001-7057-194X (2021). Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes. Atmos. Chem. Phys., 21 (23). S. 17291 - 17315. GOTTINGEN: COPERNICUS GESELLSCHAFT MBH. ISSN 1680-7324

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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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Troemel, SilkeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Simmer, ClemensUNSPECIFIEDorcid.org/0000-0003-3001-8642UNSPECIFIED
Blahak, UlrichUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Blanke, ArminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Doktorowski, SabineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ewald, FlorianUNSPECIFIEDorcid.org/0000-0002-5899-0890UNSPECIFIED
Frech, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gergely, MathiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hagen, MartinUNSPECIFIEDorcid.org/0000-0003-4714-0775UNSPECIFIED
Janjic, TijanaUNSPECIFIEDorcid.org/0000-0002-8837-0879UNSPECIFIED
Kalesse-Los, HeikeUNSPECIFIEDorcid.org/0000-0001-6699-7040UNSPECIFIED
Kneifel, StefanUNSPECIFIEDorcid.org/0000-0003-2220-2968UNSPECIFIED
Knote, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mendrok, JanaUNSPECIFIEDorcid.org/0000-0002-0032-2021UNSPECIFIED
Moser, ManuelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Koecher, GregorUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Muehlbauer, KaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Myagkov, AlexanderUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pejcic, VeliborUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Seifert, PatricUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Shrestha, PrabhakarUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Teisseire, AudreyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
von Terzi, LeonieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tetoni, EleniUNSPECIFIEDorcid.org/0000-0003-3441-8803UNSPECIFIED
Vogl, TeresaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Voigt, ChristianeUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zeng, YuefeiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zinner, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Quaas, JohannesUNSPECIFIEDorcid.org/0000-0001-7057-194XUNSPECIFIED
URN: urn:nbn:de:hbz:38-600836
DOI: 10.5194/acp-21-17291-2021
Journal or Publication Title: Atmos. Chem. Phys.
Volume: 21
Number: 23
Page Range: S. 17291 - 17315
Date: 2021
Publisher: COPERNICUS GESELLSCHAFT MBH
Place of Publication: GOTTINGEN
ISSN: 1680-7324
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
ENSEMBLE KALMAN FILTER; ICE WATER-CONTENT; MIXED-PHASE CLOUDS; PART II; HYDROMETEOR CLASSIFICATION; MICROPHYSICS SCHEMES; RAINFALL MEASUREMENT; SIZE DISTRIBUTION; Z(DR) COLUMNS; PARAMETERIZATIONMultiple languages
Environmental Sciences; Meteorology & Atmospheric SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/60083

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