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Land–atmosphere interactions in sub-polar and alpine climates in the CORDEX flagship pilot study Land Use and Climate Across Scales (LUCAS) models – Part 1: Evaluation of the snow-albedo effect

Daloz, Anne Sophie ; Schwingshackl, Clemens; Mooney, Priscilla; Strada, Susanna; Rechid, Diana; Davin, Edouard L.; Katragkou, Eleni; de Noblet-Ducoudré, Nathalie; Belda, Michal; Halenka, Tomas; Breil, Marcus 1; Cardoso, Rita M.; Hoffmann, Peter; Lima, Daniela C. A.; Meier, Ronny; Soares, Pedro M. M.; Sofiadis, Giannis; Strandberg, Gustav; Toelle, Merja H.; ... mehr

Abstract:

Seasonal snow cover plays a major role in the climate system of the Northern Hemisphere via its effect on land surface albedo and fluxes. In climate models the parameterization of interactions between snow and atmosphere remains a source of uncertainty and biases in the representation of local and global climate. Here, we evaluate the ability of an ensemble of regional climate models (RCMs) coupled with different land surface models to simulate snow–atmosphere interactions over Europe in winter and spring. We use a previously defined index, the snow-albedo sensitivity index (SASI), to quantify the radiative forcing associated with snow cover anomalies. By comparing RCM-derived SASI values with SASI calculated from reanalyses and satellite retrievals, we show that an accurate simulation of snow cover is essential for correctly reproducing the observed forcing over middle and high latitudes in Europe. The choice of parameterizations, and primarily the choice of the land surface model, strongly influences the representation of SASI as it affects the ability of climate models to simulate snow cover accurately. The degree of agreement between the datasets differs between the accumulation and ablation periods, with the latter one presenting the greatest challenge for the RCMs. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000149035
Veröffentlicht am 26.07.2022
Originalveröffentlichung
DOI: 10.5194/tc-16-2403-2022
Scopus
Zitationen: 8
Web of Science
Zitationen: 5
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1994-0424
KITopen-ID: 1000149035
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in The Cryosphere
Verlag Copernicus Publications
Band 16
Heft 6
Seiten 2403–2419
Vorab online veröffentlicht am 22.06.2022
Nachgewiesen in Dimensions
Scopus
Web of Science
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