The Cryosphere Discuss., 6, 2305-2325, 2012
www.the-cryosphere-discuss.net/6/2305/2012/
doi:10.5194/tcd-6-2305-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.


Investigating the dynamics of bulk snow density in dry and moist conditions using a one-dimensional model

C. De Michele1, F. Avanzi1, A. Ghezzi1, and C. Jommi2
1DIIAR-Politecnico di Milano, Piazza L. da Vinci 32, Milano I20133, Italy
2DIS-Politecnico di Milano, Piazza L. da Vinci 32, Milano I20133, Italy

Abstract. Snowpack is a complicated multiphase mixture with mechanical, hydraulic, and thermal properties, highly variable within the year in response to climatic forcings. Bulk density is a macroscopic property of the snowpack used, together with snow depth, to quantify the water stored. In seasonal snowpacks, the bulk density is characterized by a strong non-linear behaviour due to the occurrence of both dry and wet conditions. In literature, bulk snow density estimates are obtained principally with multiple regressions, and snowpack models have put the attention principally on the snow depth and snow water equivalent. Here a one-dimensional model for the temporal dynamics of the bulk snow density has been proposed, accounting for both dry and moist conditions. The model assimilates the snowpack to a two-constituent mixture: a dry part including ice structure, and air, and a wet part constituted by liquid water. It describes the dynamics of three variables: the depth and density of the dry part and the depth of liquid water. The model has been calibrated and validated against hourly data registered in two SNOTEL stations, Western US, with mean values of the Nash-Sutcliffe coefficient ≈0.90–0.92.

Citation: De Michele, C., Avanzi, F., Ghezzi, A., and Jommi, C.: Investigating the dynamics of bulk snow density in dry and moist conditions using a one-dimensional model, The Cryosphere Discuss., 6, 2305-2325, doi:10.5194/tcd-6-2305-2012, 2012.
 
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