C31E:
Recent Advances in Monitoring, Measuring, and Modeling Snow Processes I

Wednesday, 17 December 2014: 8:00 AM-10:00 AM
Chairs:  Jordy Hendrikx, Montana State University, Bozeman, MT, United States, Danny G Marks, USDA Agriculture Research Serv, Boise, ID, United States and Adam H Winstral, USDA-ARS, Boise, ID, United States
Primary Conveners:  Danny G Marks, USDA Agriculture Research Serv, Boise, ID, United States
Co-conveners:  Adam H Winstral, USDA-ARS, Boise, ID, United States, Ned Bair, University of California Santa Barbara, Santa Barbara, CA, United States and Jordy Hendrikx, Montana State University, Bozeman, MT, United States
OSPA Liaisons:  Adam H Winstral, USDA-ARS, Boise, ID, United States

Abstracts Submitted to this Session:

8:00 AM
C31E-01
 
Mapping starting zone snow depth with a ground-based LiDAR to improve avalanche control and forecasting
Jeffrey S Deems1, Peter J Gadomski2, Dominic Vellone3, Ryan Evanczyk3, Adam L LeWinter4, Karl Birkeland5 and David C Finnegan6, (1)University of Colorado, Boulder, CO, United States, (2)US Army Corps of Engineers Cold Regions Research and Engineering Laboratory, Hanover, NH, United States, (3)Arapahoe Basin Ski Patrol, Dillon, CO, United States, (4)Univ Northern Colorado, Denver, CO, United States, (5)US Forest Service, Bozeman, MT, United States, (6)U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, NH, United States
8:15 AM
C31E-02
 
Avalanche Debris Detection Using Satellite- and Drone Based Radar and Optical Remote Sensing
Markus Eckerstorfer, Eirik Malnes, Hannah Vickers, Stian A Solbø and Andreas Tøllefsen, NORUT Northern Research Institute, Tromsø, Norway
8:30 AM
C31E-03
 
Modeling and monitoring avalanches caused by rain-on-snow events
Hans-Peter Marshall1, Scott Havens1, Gabriel O Trisca1, Jeffrey Bruce Johnson1 and Bill Nicholson2, (1)Boise State University, Boise, ID, United States, (2)Idaho Transportation Department, Avalanche Forecasting Program, Lowman, ID, United States
8:45 AM
C31E-04
 
Sensitivity of Alpine Snow and Streamflow Regimes to Climate Changes
Kabir Rasouli1, John W Pomeroy1, Danny G Marks2 and Matthias Bernhardt3, (1)University of Saskatchewan, Saskatoon, SK, Canada, (2)USDA Agriculture Research Serv, Boise, ID, United States, (3)LMU, Geography, 80333 Munich, Germany
9:00 AM
C31E-05
 
Quantifying the accuracy of snow water equivalent estimates using broadband radar signal phase
Elias J Deeb1, Hans-Peter Marshall2, Nathan J Lamie1 and Steven A Arcone1, (1)U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, NH, United States, (2)Boise State University, Boise, ID, United States
9:15 AM
C31E-06
 
How Much Water is in That Snowpack? Improving Basin-wide Snow Water Equivalent Estimates from the Airborne Snow Observatory
Kat Bormann1, Thomas H Painter1, Danny G Marks2, Peter B. Kirchner3, Adam H Winstral4, Paul Ramirez5, Cameron E Goodale5, Megan Richardson5 and Daniel F Berisford1, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)USDA Agriculture Research Serv, Boise, ID, United States, (3)University of California Los Angeles, Joint Institute for Regional Earth Systems Science and Engineering, Los Angeles, CA, United States, (4)USDA-ARS, Boise, ID, United States, (5)Jet Propulsion Laboratory, Pasadena, CA, United States
9:30 AM
C31E-07
 
Theoretical Framework for the Assessment of Uncertainties in Snow Depth Measurements
Ernesto Trujillo1 and Michael Lehning1,2, (1)École Polytechnique Fédérale de Lausanne, School of Architecture, Civil and Environmental Engineering, Lausanne, Switzerland, (2)SLF / WSL, Davos Dorf, Switzerland
9:45 AM
C31E-08
 
Challenges in simulation of snow microstructure and implications for remote sensing of snow mass
Melody J Sandells, University of Reading, Reading, RG6, United Kingdom, Richard Essery, University of Edinburgh, Edinburgh, United Kingdom, Leena Leppänen, Finnish Meteorological Institute, Sodankylä, Finland, Juha Lemmetyinen, Finnish Meteorological Institute, Helsinki, Finland and Nick Rutter, Northumbria University, Newcastle-Upon-Tyne, NE1, United Kingdom
 
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