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
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Published:2022-06-22
Issue:6
Volume:16
Page:2403-2419
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Daloz Anne SophieORCID, Schwingshackl ClemensORCID, Mooney PriscillaORCID, Strada SusannaORCID, Rechid Diana, Davin Edouard L.ORCID, Katragkou EleniORCID, de Noblet-Ducoudré Nathalie, Belda MichalORCID, Halenka TomasORCID, Breil Marcus, Cardoso Rita M.ORCID, Hoffmann Peter, Lima Daniela C. A., Meier RonnyORCID, Soares Pedro M. M.ORCID, Sofiadis GiannisORCID, Strandberg GustavORCID, Toelle Merja H.ORCID, Lund Marianne T.ORCID
Abstract
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. Given the dominant role
of land surface processes in the simulation of snow cover during the ablation period, the results suggest that, during this time period, the choice
of the land surface model is more critical for the representation of SASI than the atmospheric model.
Funder
Norges Forskningsråd Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Fundação para a Ciência e a Tecnologia Hellenic Foundation for Research and Innovation
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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