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Aerosol–cloud–radiation interaction during Saharan dust episodes: the dusty cirrus puzzle

Seifert, Axel; Bachmann, Vanessa; Filipitsch, Florian; Förstner, Jochen; Grams, Christian M. 1; Hoshyaripour, Gholam Ali ORCID iD icon 2; Quinting, Julian ORCID iD icon 2; Rohde, Anika ORCID iD icon 2; Vogel, Heike ORCID iD icon 2; Wagner, Annette; Vogel, Bernhard 2
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Dusty cirrus clouds are extended optically thick cirrocumulus decks that occur during strong mineral dust events. So far they have mostly been documented over Europe associated with dust-infused baroclinic storms. Since today's global numerical weather prediction models neither predict mineral dust distributions nor consider the interaction of dust with cloud microphysics, they cannot simulate this phenomenon. We postulate that the dusty cirrus forms through a mixing instability of moist clean air with drier dusty air. A corresponding sub-grid parameterization is suggested and tested in the ICOsahedral Nonhydrostatic model with Aerosol and Reactive Trace gases (ICON-ART). Only with the help of this parameterization is ICON-ART able to simulate the formation of the dusty cirrus, which leads to substantial improvements in cloud cover and radiative fluxes compared to simulations without this parameterization. A statistical evaluation over six Saharan dust events with and without observed dusty cirrus shows robust improvements in cloud and radiation scores. The ability to simulate dusty cirrus formation removes the linear dependency on mineral dust aerosol optical depth from the bias of the radiative fluxes. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000159374
Veröffentlicht am 14.06.2023
Originalveröffentlichung
DOI: 10.5194/acp-23-6409-2023
Scopus
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000159374
HGF-Programm 12.11.32 (POF IV, LK 01) Advancing atmospheric and Earth system models
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 23
Heft 11
Seiten 6409–6430
Vorab online veröffentlicht am 12.06.2023
Nachgewiesen in Dimensions
Scopus
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