Articles | Volume 16, issue 6
The Cryosphere, 16, 2183–2202, 2022
The Cryosphere, 16, 2183–2202, 2022
Research article
10 Jun 2022
Research article | 10 Jun 2022

GABLS4 intercomparison of snow models at Dome C in Antarctica

Patrick Le Moigne et al.

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Cited articles

Agosta, C., Amory, C., Kittel, C., Orsi, A., Favier, V., Gallée, H., van den Broeke, M. R., Lenaerts, J. T. M., van Wessem, J. M., van de Berg, W. J., and Fettweis, X.: Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes, The Cryosphere, 13, 281–296,, 2019. 
Andreas, E. L.: Parametrizing scalar transfer over snow and ice: a review, J. Hydrometeorol., 3, 417–432,<0417:PSTOSA>2.0.CO;2, 2002. 
Armstrong, R. L. and Brun, E.: Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling, Cambridge University Press, ISBN 9780521854542, 2008. 
Bazile, E., El Haiti, M., Bogatchev, A., and Spiridonov, V.: Improvement of the snow parametrisation in ARPEGE/ALADIN, in: Proceedings of SRNWP/HIRLAM Workshop on surface processes, turbulence and mountain effects, 22–24 October 2001, Madrid, HIRLAM 5 Project, 14–19, 2002. 
Bazile, E., Couvreux, F., Le Moigne, P., Genthon, C., Holtslag, A. A. M., and Svensson, G.: GABLS4: An intercomparison case to study the stable boundary layer over the Antarctic Plateau, Global Energy and Water Exchanges News, 24, (last access: 2 June 2022), 2014. 
Short summary
This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results show that the simplest models are, under certain conditions, able to reproduce the surface temperature just as well as the most complex models. Moreover, the diversity of surface parameters of the models has a strong impact on the temporal variability of the components of the simulated surface energy balance.