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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 6
The Cryosphere, 11, 2633–2653, 2017
https://doi.org/10.5194/tc-11-2633-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 2633–2653, 2017
https://doi.org/10.5194/tc-11-2633-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 20 Nov 2017

Research article | 20 Nov 2017

A multilayer physically based snowpack model simulating direct and indirect radiative impacts of light-absorbing impurities in snow

Francois Tuzet et al.
Data sets

A 18-years long (1993--2011) snow and meteorological dataset from a mid-altitude mountain site (Col de Porte, France, 1325 altitude) S. Morin, Y. Lejeune, B. Lesaffre, J.-M. Panel, D. Poncet, P. David, and M. Sudul https://doi.org/10.1594/PANGAEA.774249

Time-series of snow spectral albedo and superficial snow specific surface area and impurity content at Col de Porte, French Alps, 2014 G. Picard, L. Arnaud, and M. Dumont https://doi.org/10.1594/PANGAEA.874272

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Short summary
Light-absorbing impurities deposited on snow, such as soot or dust, strongly modify its evolution. We implemented impurity deposition and evolution in a detailed snowpack model, thereby expanding the reach of such models into addressing the subtle interplays between snow physics and impurities' optical properties. Model results were evaluated based on innovative field observations at an Alpine site. This allows future investigations in the fields of climate, hydrology and avalanche prediction.
Light-absorbing impurities deposited on snow, such as soot or dust, strongly modify its...
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