Chairs: Adam H Winstral, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, Danny G Marks, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States and Jordy Hendrikx, Montana State University, Earth Sciences, Bozeman, MT, United States
Primary Convener: Danny G Marks, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States
Co-conveners: Adam H Winstral, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, Edward Bair, University of California, Earth Research Institute, Santa Barbara, CA, United States and Jordy Hendrikx, Montana State University, Earth Sciences, Bozeman, MT, United States
OSPA Liaison: Adam H Winstral, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Optimization of Sensor Placements Using Machine Learning and LIDAR data: a Case Study for a Snow Monitoring Network in the Sierra Nevada. (17352)
Carlos Oroza1, Zeshi Zheng2, Steven D Glaser2, Roger C Bales3 and Martha H Conklin4, (1)University of Utah, Civil and Environmental engineering, Salt Lake City, United States, (2)University of California Berkeley, Berkeley, CA, United States, (3)University of California Merced, Merced, CA, United States, (4)University of California Merced, Civil and Environmental Engineering, Merced, United States
Snow Depth from Lidar: Challenges and New Technology for Measurements in Extreme Terrain (11146)
Daniel F Berisford1, Vladimir Kadatskiy2, Joseph W Boardman3, Kat J Bormann4, Jeffrey S Deems5, Cameron E Goodale6, Chris A Mattmann6, Paul Ramirez6, Megan J Richardson6 and Thomas H Painter6, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Riegl USA, Orlando, FL, United States, (3)Airborne Snow Observatories Inc., Boulder, CO, United States, (4)Airborne Snow Observatories Inc, Pasadena, United States, (5)Airborne Snow Observatories, Inc., Mammoth Lakes, United States, (6)Jet Propulsion Laboratory, Pasadena, CA, United States
An Evaluation of Vegetation Filtering Algorithms for Improved Snow Depth Estimation from Point Cloud Observations in Mountain Environments (19111)
Benjamin J Vanderjagt, Ohio State University Main Campus, Columbus, OH, United States, Michael T Durand, Byrd Polar and Climate Research Center, Columbus, United States, Arko Lucieer, University of Tasmania, Geography, Planning, and Spatial Sciences, Hobart, TAS, Australia and Luke Wallace, University of Tasmania, Geography & Environmental Studies, Hobart, Australia
Cross-sites analysis of snowpack depth from LiDAR in Southern Sierra Nevada (16798)
Zeshi Zheng, University of California Berkeley, Berkeley, CA, United States, Peter B. Kirchner, University of California Merced, Merced, United States, Roger C Bales, University of California Merced, Merced, CA, United States and Steven D Glaser, Univ California, Berkeley, CA, United States
The information content of terrestial LIDAR images with respect to different snow cover processes (21454)
Matthias Bernhardt1, Karsten Schulz2 and Stefan Härer1,3, (1)LMU, Geography, 80333 Munich, Germany, (2)University of Natural Resources and Life Sciences, Vienna, Department of Water, Atmosphere and Environment, Institute of Hydrology and Water Management, Muthgasse 18, 1190, Vienna, Austria, (3)BOKU University of Natural Resources and Life Sciences, Institute of Water Managment, Hydrology and Hydraulic Engineering, Vienna, Austria
Quantifying Snow Volume Uncertainty from Repeat Terrestrial Laser Scanning Observations (12698)
Preston J Hartzell, University of Houston, Houston, TX, United States, Peter J Gadomski, U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, NH, United States, David C Finnegan, US Army Corps of Engineers Cold Regions Research and Engineering Laboratory, Hanover, United States, Craig Len Glennie, University of Houston, Civil and Environmental Engineering, Houston, TX, United States and Jeffrey S Deems, Airborne Snow Observatories, Inc., Mammoth Lakes, United States
Design, implementation and hydrologic evaluation of a snow-measurement network using wireless sensors in the American River basin of California (18802)
Robert Rice1, Roger C Bales1, Danny G Marks2, Martha H Conklin3, Ziran Zhang4 and Steven D Glaser4, (1)University of California Merced, Merced, CA, United States, (2)USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States, (3)University of California Merced, Civil and Environmental Engineering, Merced, United States, (4)University of California Berkeley, Berkeley, CA, United States
Discrepancies between two measurements and two model approaches for liquid water flow in snow (29701)
Lino Schmid1, Nander Wever2, Achim Heilig3, Charles G Fierz1 and Michael Lehning4, (1)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, (2)University of Colorado Boulder, Atmospheric and Oceanic Science, Boulder, CO, United States, (3)University of Heidelberg, Institute of Environmental Physics, Heidelberg, Germany, (4)EPFL Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland
Measuring Wind Ventilation of Dense Surface Snow (26410)
Stephen A. Drake1, Hendrik Huwald2, John Steven Selker3, Chad W Higgins4, Michael Lehning2 and Christoph K Thomas5, (1)University of Nevada, Reno, Reno, NV, United States, (2)EPFL Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, (3)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, (4)College of Agricultural Sciences, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States, (5)Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, OR, United States
