C43C:
Modeling of the Cryosphere: Seasonal Snow I

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Session ID#: 17571

Session Description:
The seasonal snow cover has manifold impacts and feedbacks affecting water availability, vegetation patterns, ecosystems, and weather. As environmental changes advance, seasonal snow regimes are undergoing rapid and abrupt changes. Accurately modeling current and future snow covers is challenged by the need for modeling techniques that represent the involved complex and interacting processes at small spatial scales. This session will bring together researchers working on developing and applying snow models that collectively advance our understanding of system functionality. We solicit contributions related to modelling seasonal snow in general, and particularly welcome abstracts on snow cover interaction with the atmosphere, vegetation, and soil, operational snow models, data assimilation, subgrid schemes for coarser-scale applications, and sensitivities to model parameters and forcing data.
Primary Convener:  Tobias Jonas, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Conveners:  Mark S Raleigh, University of Colorado at Boulder, Boulder, CO, United States and Vincent Vionnet, Centre d'Etude de la Neige, CNRM, Grenoble, France
Chairs:  Tobias Jonas, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, Mark S Raleigh, University of Colorado at Boulder, Boulder, CO, United States and Vincent Vionnet, Centre d'Etude de la Neige, CNRM, Grenoble, France
OSPA Liaison:  Mark S Raleigh, University of Colorado at Boulder, Boulder, CO, United States

Cross-Listed:
  • H - Hydrology
Index Terms:

0736 Snow [CRYOSPHERE]
0798 Modeling [CRYOSPHERE]
1863 Snow and ice [HYDROLOGY]

Abstracts Submitted to this Session:

Garbage In Garbage Out Garbage In : Improving the Inputs and Atmospheric Feedbacks in Seasonal Snowpack Modeling (Invited) (122954)
Ethan D Gutmann, NSF National Center for Atmospheric Research, Boulder, United States
Dynamic de-biasing of large extent weather products to improve snow modeling (157069)
Adam H Winstral1, Tobias Jonas1, Jan Magnusson1 and Jeffrey S Deems2, (1)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, (2)National Snow and Ice Data Center, Boulder, CO, United States
Improving Simulations of Precipitation Phase and Snowpack at a Site Subject to Cold Air Intrusions: Snoqualmie Pass, WA (150568)
Nicholas E Wayand, University of Saskatchewan, Centre for Hydrology, Saskatoon, SK, Canada, John Stimberis, Washington State Department of Transportation, Seattle, WA, United States, Joseph Paul Zagrodnik, University of Washington Seattle Campus, Atmospheric Sciences, Seattle, WA, United States, Cliff Mass, University of Washington Seattle Campus, Seattle, WA, United States and Jessica D Lundquist, University of Washington, Department of Civil and Environmental Engineering, Seattle, United States
Sensitivity of modelled snow cover to turbulent flux parameterization and forcing data: a case study in a high altitude basin of the dry Andes, northern Chile (127349)
Christophe Kinnard, University of Quebec at Trois-Rivieres UQTR, Environmental Sciences, Trois-Rivières, QC, Canada, Inigo Irarrazaval, Institute of Earth Surface Dynamics, Faculty of Geosciences and Environment, University of Lausanne, Lausanne, Switzerland, Cristian Campos, Centro de Estudios Avanzados en Zonas Áridas, La Serena, Chile, Simon Gascoin, CNRS, Centre d'Etudes Spatiales de la Biosphere (CESBIO), Paris Cedex 16, France, Shelley MacDonell, CEAZA, Glaciología, La Serena, Chile, Stefaan Macdonell, Delft University of Technology, Delft, Netherlands and Javier Herrero, University of Granada, Granada, Spain
Using thermal imagery and air temperature to estimate incoming longwave radiation below forest canopy during snowmelt (155160)
Clare Webster1, Nick Rutter2 and Tobias Jonas1, (1)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, (2)Northumbria University, Newcastle-Upon-Tyne, United Kingdom
The Presence of Hydraulic Barriers in Layered Snowpacks: Simulations using TOUGH2 and Diversion Length Estimates (134448)
Ryan Webb, University of Colorado, Boulder, Institute of Arctic and Alpine Research, Boulder, CO, United States, Steven R Fassnacht, Colorado State University, Watershed Science, Fort Collins, United States, Michael N Gooseff, Institute of Arctic and Alpine Research, Boulder, CO, United States and Stephen Webb, Canyon Ridge Consulting, Sandia Park, NM, United States
Ensemble approaches and data assimilation for snowpack detailed simulations (Invited) (122566)
Marie Dumont1, Matthieu Lafaysse1, Luc Charrois2,3, Emmanuel Cosme2, Matthieu Vernay1, Bertrand Cluzet3, Ghislain Picard4, Laurent Arnaud4, Quentin Libois5, Gérald Giraud3, Laurent Merindol3 and Samuel Morin1, (1)Météo-France -CNRS CNRM/CEN, Saint Martin d'Hères, France, (2)LGGE Laboratoire de Glaciologie et Géophysique de l’Environnement, Saint Martin d'Hères, France, (3)Météo-France -CNRS CNRM/CEN, Saint Martin D'Hères, France, (4)UJF/LGGE Laboratoire de Glaciologie et Géophysique de l’Environnement, Grenoble, France, (5)University of Quebec at Montreal UQAM, Earth and Atmospheric Sciences, Montreal, QC, Canada
An ensemble-based subgrid snow data assimilation framework (134521)
Kristoffer Aalstad1, Sebastian Westermann1 and Laurent Bertino2, (1)University of Oslo, Department of Geosciences, Oslo, Norway, (2)Bjerknes Centre for Climate Research, Bergen, Norway

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