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Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic

Senf, F.; Voigt, Aiko 1,2; Clerbaux, N.; Hünerbein, A.; Deneke, H.
1 Institut für Meteorologie und Klimaforschung – Forschungsbereich Troposphäre (IMK-TRO), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


Clouds interact with atmospheric radiation and substantially modify the Earth's energy budget. Cloud formation processes occur over a vast range of spatial and temporal scales, which make their thorough numerical representation challenging. Therefore, the impact of parameter choices for simulations of cloud‐radiative effects is assessed in the current study. Numerical experiments are carried out using the ICOsahedral Nonhydrostatic (ICON) model with varying grid spacings between 2.5 and 80 km and with different subgrid‐scale parameterization approaches. Simulations are performed over the North Atlantic with either one‐moment or two‐moment microphysics and with convection being parameterized or explicitly resolved by grid‐scale dynamics. Simulated cloud‐radiative effects are compared to products derived from Meteosat measurements. Furthermore, a sophisticated cloud classification algorithm is applied to understand the differences and dependencies of simulated and observed cloud‐radiative effects. The cloud classification algorithm developed for the satellite observations is also applied to the simulation output based on synthetic infrared brightness temperatures, a novel approach that is not impacted by changing insolation and guarantees a consistent and fair comparison. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000125657
Veröffentlicht am 10.03.2021
DOI: 10.1029/2020JD032667
Zitationen: 10
Web of Science
Zitationen: 6
Zitationen: 17
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Forschungsbereich Troposphäre (IMK-TRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0148-0227, 2156-2202, 2169-897X, 2169-8996
KITopen-ID: 1000125657
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Erschienen in Journal of geophysical research / D
Verlag American Geophysical Union (AGU)
Band 125
Heft 19
Seiten e2020JD032667
Vorab online veröffentlicht am 09.09.2020
Nachgewiesen in Scopus
Web of Science
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