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| Titel |
Snow specific surface area simulation using the one-layer snow model in the Canadian LAnd Surface Scheme (CLASS) |
| VerfasserIn |
A. Roy, A. Royer, B. Montpetit, P. A. Bartlett, A. Langlois |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 7, no. 3 ; Nr. 7, no. 3 (2013-06-20), S.961-975 |
| Datensatznummer |
250017979
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| Publikation (Nr.) |
 copernicus.org/tc-7-961-2013.pdf |
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| Zusammenfassung |
| Snow grain size is a key parameter for modeling microwave snow
emission properties and the surface energy balance because of its
influence on the snow albedo, thermal conductivity and
diffusivity. A model of the specific surface area (SSA) of snow was
implemented in the one-layer snow model in the Canadian LAnd Surface
Scheme (CLASS) version 3.4. This offline multilayer model
(CLASS-SSA) simulates the decrease of SSA based on snow age, snow
temperature and the temperature gradient under dry snow conditions,
while it considers the liquid water content of the snowpack for wet
snow metamorphism. We compare the model with ground-based
measurements from several sites (alpine, arctic and subarctic) with
different types of snow. The model provides simulated SSA in good
agreement with measurements with an overall point-to-point
comparison RMSE of 8.0 m2 kg–1, and a root mean square error (RMSE) of
5.1 m2 kg–1 for the snowpack average SSA. The model,
however, is limited under wet conditions due to the single-layer
nature of the CLASS model, leading to a single liquid water content
value for the whole snowpack. The SSA simulations are of great
interest for satellite passive microwave brightness temperature
assimilations, snow mass balance retrievals and surface energy
balance calculations with associated climate feedbacks. |
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