C023
Modeling of the Cryosphere: Seasonal Snow
Session ID#: 156652
Session Description:
The seasonal snow cover has manifold impacts and feedbacks affecting water availability, vegetation patterns, ecosystems, and weather. Accurately modeling current and future snow covers is challenged by the need for modeling techniques that represent the complex and interacting controlling processes at appropriate 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 modeling seasonal snow that focus on snowmelt and other physical snowpack processes (e.g., avalanching), and particularly welcome abstracts on snow cover interactions with the atmosphere, topography, vegetation and soil, operational snow models, data assimilation, subgrid schemes in coarse scale applications, modular model experiments, model evaluation and validation, and sensitivities to model parameters and forcing data. We also welcome contributions that use data-driven approaches as a way to improve the representation of uncertain processes in snowpack models.
Index Terms:
0736 Snow [CRYOSPHERE]
0740 Snowmelt [CRYOSPHERE]
0798 Modeling [CRYOSPHERE]
Primary Convener: Mark S Raleigh, Oregon State University, Corvallis, OR, United States
Conveners: Tobias Jonas, SLF / WSL, Davos Dorf, Switzerland, Marie Dumont, Météo-France -CNRS CNRM/CEN, Saint Martin d'Hères, France and Vincent Vionnet, Environment and Climate Change Canada, Meteorological Research Division, Dorval, QC, Canada
Enhancing snow albedo modeling in Community Land Model (CLM/CTSM) (1079261)
Cenlin He, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, Mark Flanner, University of Michigan, Department of Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, David M Lawrence, National Center for Atmospheric Research, Boulder, CO, United States and Yu Gu, University of California Los Angeles, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, CA, United States
Northern Hemisphere SWE Time Series based on In-Situ Observations of Snow Depth: Investigating Changing Snowmelt Rates (1104511)
Adrià Fontrodona-Bach, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom, Bettina Schaefli, Institute of Geography (GIUB), University of Bern, Bern, Switzerland, Ross A Woods, University of Bristol, Bristol, United Kingdom, Ryan Teuling, Hydrology Quant. Water Mgnt, Wageningen, Netherlands and Joshua R. Larsen, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom
Western US Snow Projections and Potential Impacts on Snow Adapted Wildlife Habitat (1109692)
Justin M M Pflug, NASA Goddard Space Flight Center & University of Maryland College Park, Greenbelt, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, United States, John M Guinotte, U.S. Fish and Wildlife Service, Ecological Services, Mountain Prairie Region 6, Lakewood, United States and Ben Livneh, Western Water Assessment, CIRES, University of Colorado, Boulder, United States
Spatial and Temporal Dynamics of Seasonal Snow Cover in South-Western British Columbia, Canada, Simulated Based on Data from Automated Weather Stations, Snow Surveys and Airborne LiDAR. (1120409)
Sergey Marchenko1,2, Bill C Floyd1,3, Brian Menounos2,4, Rosie Bisset1,2, Alison Bishop1,2, Griffin Fisk1 and Hakai Geospatial4, (1)Vancouver Island University, Coastal Hydrology Research Lab, Nanaimo, BC, Canada, (2)University of Northern British Columbia, Geography Earth and Environmental Sciences, Prince George, BC, Canada, (3)British Columbia Ministry of Forests, Nanaimo, BC, Canada, (4)Hakai Institute, Campbell River, BC, Canada
Toward a global mountain seasonal snow reanalysis: Lessons learned from recent applications and future needs (Invited) (1136469)
Steven A Margulis1, Yufei Liu1, Yiwen Fang1, Haorui Sun2, Manon von Kaenel1 and Dongyue Li3, (1)UCLA, Department of Civil and Environmental Engineering, Los Angeles, United States, (2)University of California Los Angeles, Department of Civil and Environmental Engineering, Los Angeles, United States, (3)University of California Los Angeles, Los Angeles, CA, United States
Machine Learning Suggests a Limit to Rain-Snow Partitioning Accuracy when Using Near-Surface Meteorology (1148681)
Keith Steven Jennings1, Meghan Collins2, Monica M Arienzo3, Anne Walden Nolin4, Benjamin Hatchett5, Jessica L. Garrett1, Michael Johnson1, Josh Sturtevant1, Graeme R Aggett6 and Mountain Rain or Snow Citizen Scientists, (1)Lynker, Boulder, United States, (2)Desert Research Institute Reno, Reno, NV, United States, (3)Desert Research Institute Reno, Reno, United States, (4)University of Nevada Reno, Geography, Reno, United States, (5)Desert Research Institute, Reno, United States, (6)Lynker, Boulder, CO, United States
Reconstructed Multidecadal Snow Depth Data Yield Negative October Snow Cover Extent Trends (1151004)
Aleksandra Elias Chereque, University of Toronto, Toronto, ON, Canada, Paul J Kushner, University of Toronto, Physics, Toronto, ON, Canada, Lawrence Mudryk, Environment and Climate Change Canada, Climate Reseach Division, Toronto, ON, Canada and Christopher Derksen, Environment and Climate Change Canada, Climate Research Division, Toronto, ON, Canada
Soil Type Impacts on Local-Scale Soil and Snow Interactions (1151649)
Mahsa Moradi1, Adam Hunsaker2 and Jennifer M Jacobs2, (1)University of New Hampshire, Durham, NH, United States, (2)University of New Hampshire, Institute for the Study of Earth, Oceans, and Space; Civil and Environmental Engineering, Durham, NH, United States
Comparison of snow water equivalent estimates from merging remote sensing observations with inputs from different weather and land simulation models (1175416)
Bidhyananda Yadav, Ohio State University, Byrd Polar and Climate Research Center, Columbus, United States, Michael T Durand, Byrd Polar and Climate Research Center, Columbus, United States and Jack Dechow, Ohio State University Main Campus, School of Earth Sciences, Columbus, IL, United States
Observationally Calibrating Free Parameters in a Snow-On-Sea-Ice Model (1176791)
Alex Cabaj, University of Toronto, Department of Physics, Toronto, ON, Canada, Paul J Kushner, University of Toronto, Physics, Toronto, ON, Canada and Alek Petty, Earth System Science Interdisciplinary Center, College PARK, MD, United States
The National Snow Model: Full Stack Open-Source Machine Learning Snow Water Equivalent Inference Model (1181450)
Ryan Johnson, Dane Liljestrand, University of Utah, Civil and Environmental Engineering, Salt Lake City, United States, Carlos Oroza, University of Utah, Salt Lake City, United States, Karnesh Jain, University of Alabama, Cyber Institute, Tuscaloosa, United States, James S Halgren, Alabama Water Institute, Leesburg, United States and Steven J Burian, University of Alabama, Tuscaloosa, United States
A new Snowpack Model for the GFDL Earth System Model: Overview and Application to an Alpine Site. (1194351)
Enrico Zorzetto1, Sergey Malyshev2, Paul A Ginoux3 and Elena Shevliakova2, (1)Princeton University, Atmospheric and Oceanic Sciences, Princeton, NJ, United States, (2)NOAA/ Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, (3)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA, Princeton, United States
