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Confronting the Challenge of Modeling Cloud and Precipitation Microphysics

Morrison, H.; Lier-Walqui, M. van; Fridlind, A. M.; Grabowski, W. W.; Harrington, J. Y.; Hoose, C.; Korolev, A.; Kumjian, M. R.; Milbrandt, J. A.; Pawlowska, H.; Posselt, D. J.; Prat, O. P.; Reimel, K. J.; Shima, S.-I.; Diedenhoven, B. van; Xue, L.

Abstract:
In the atmosphere, microphysics refers to the microscale processes that affect cloud and precipitation particles and is a key linkage among the various components of Earth's atmospheric water and energy cycles. The representation of microphysical processes in models continues to pose a major challenge leading to uncertainty in numerical weather forecasts and climate simulations. In this paper, the problem of treating microphysics in models is divided into two parts: (i) how to represent the population of cloud and precipitation particles, given the impossibility of simulating all particles individually within a cloud, and (ii) uncertainties in the microphysical process rates owing to fundamental gaps in knowledge of cloud physics. The recently developed Lagrangian particle‐based method is advocated as a way to address several conceptual and practical challenges of representing particle populations using traditional bulk and bin microphysics parameterization schemes. For addressing critical gaps in cloud physics knowledge, sustained investment for observational advances from laboratory experiments, new probe development, and next‐generation instruments in space is needed. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000123605
Veröffentlicht am 17.09.2020
Originalveröffentlichung
DOI: 10.1029/2019MS001689
Scopus
Zitationen: 2
Web of Science
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1942-2466
KITopen-ID: 1000123605
Erschienen in Journal of advances in modeling earth systems
Band 12
Heft 8
Seiten e2019MS001689
Nachgewiesen in Web of Science
Scopus
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