C13F:
Quantifying Spatial and Temporal Variability of Snow and Snow Processes I

Submit an Abstract to this Session Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.


Session ID#: 17593

Session Description:
Snow properties in seasonal and perennial snow environments vary over many orders of spatial and temporal magnitude and at a wide range of scales.  Large variations in bulk properties, such as snow depth, snow water equivalent, and impurity content can occur over distances less than 100 meters and time scales of minutes to hours, complicating measurement and modeling efforts.  Topography and vegetation combine with variability in precipitation, wind, and melt to create a complex distribution of snow properties across the landscape and through time.  This session will focus on studies which quantify spatial and temporal variations in snow and snow-related processes at medium to large scales for a wide range of problems, including snow hydrology, snow avalanches, and remote sensing or modeling efforts.
Primary Convener:  Jeffrey S Deems, National Snow and Ice Data Center, Boulder, CO, United States
Conveners:  Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States, Ernesto Trujillo, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland and Steven R Fassnacht, Colorado State University, Watershed Science, Fort Collins, United States
Chairs:  Jeffrey S Deems, National Snow and Ice Data Center, Boulder, CO, United States and Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States
OSPA Liaison:  Jeffrey S Deems, National Snow and Ice Data Center, Boulder, CO, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • H - Hydrology
  • NH - Natural Hazards
Index Terms:

0736 Snow [CRYOSPHERE]
0740 Snowmelt [CRYOSPHERE]
0742 Avalanches [CRYOSPHERE]
1863 Snow and ice [HYDROLOGY]

Abstracts Submitted to this Session:

Mapping snow depth from stereo satellite imagery (121882)
Simon Gascoin1, Renaud Marti1,2, Etienne Berthier3, Thomas Houet2,4, Matthieu de Pinel5 and Dominique Laffly6, (1)Centre d'Etudes Spatiales de la Biosphere, Toulouse Cedex 9, France, (2)Géographie de l'Environnement (GEODE), Université de Toulouse, CNRS/UT2J, Toulouse, France, (3)Université Toulouse III - Paul Sabatier, Toulouse, France, (4)LETG-Rennes-COSTEL, Université de Rennes, Rennes, France, (5)GeoFalco, Longages, France, (6)Université de Toulouse, Toulouse, France
Mapping Snow Depth From Ka-Band Interferometry: Proof Of Concept And Comparison With Scanning Lidar Retrievals (187874)
Delwyn Moller1, Konstantinos Andreadis2, Kathryn J Bormann3, Thomas H Painter4 and Scott Hensley4, (1)Remote Sensing Solutions, Inc., Pasadena, CA, United States, (2)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, (3)Jet Propulsion Laboratory, Pasadena, CA, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Using Remotely Sensed Fractional Snow Covered Area to Predict Snow Depth (166857)
Dominik Schneider, University of Colorado at Boulder, Geography / INSTAAR, Boulder, CO, United States and Noah P Molotch, University of Colorado at Boulder, Geography / INSTAAR, Boulder, United States
Potential of Satellite Images for Snow Redistribution in Hydrological Models (193846)
Daphne Freudiger, University of Freiburg, Freiburg, Germany and Markus Weiler, University of Freiburg, Freiberg, Germany
Do existing classification systems capture mountain snowpack heterogeneity? Accounting for spatial variability in a changing environment (179647)
Sarah Godsey, Idaho State University, Geosciences, Idaho Falls, ID, United States, Christopher Tennant, Idaho State University, Geoghraphy, Pocatello, ID, United States, Adrian Adam Harpold, University of Nevada Reno, Department of Natural Resources and Environmental Science, Reno, NV, United States, Dr. Timothy E Link, PhD, University of Idaho, forest resources, Moscow, ID, United States, Seshadri Rajagopal, Desert Research Institute Reno, Reno, NV, United States and Laurel Larsen, University of California Berkeley, Geography, Berkeley, CA, United States
High Resolution Modeling for Improved Quantification of Snow Accumulation Across an Arctic Shrub-tundra Landscape (196422)
Ally Mounirou Toure1, Philip Marsh2, Glen E Liston3, Tyler de Jong1, Philip Mann1, Branden Walker4 and Dr. Evan James Wilcox, PhD4, (1)Wilfrid Laurier University, Waterloo, ON, Canada, (2)Wilfrid Laurier University, Geography, Waterloo, ON, Canada, (3)Colorado State University, Cooperative Institute for Research in the Atmosphere (CIRA), Fort Collins, United States, (4)Wilfrid Laurier University, Cold Regions Research Centre, Waterloo, ON, Canada
Slower snowmelt in a warmer world (Invited) (149937)
Keith N Musselman1, Martyn P Clark1, Changhai Liu2, Kyoko Ikeda3 and Roy Rasmussen4, (1)National Center for Atmospheric Research, Boulder, United States, (2)NCAR/RAL, Boulder, CO, United States, (3)National Center for Atmospheric Research, RAL, Boulder, CO, United States, (4)University Corporation for Atmospheric Research, Boulder, CO, United States
Earlier and Slower Snowmelt in a Warmer World: Surprising Feedbacks to a Changing Climate (179758)
Adrian Adam Harpold, University of Nevada Reno, Department of Natural Resources and Environmental Science, Reno, NV, United States and Paul D Brooks, University of Utah, Dept. of Geology and Geophysics, Salt Lake City, UT, United States

See more of: Cryosphere