C14C:
Quantifying Spatial and Temporal Variability of Snow and Snow Processes II

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Session ID#: 17588

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:

Inter-annual Variability in Snow Accumulation using Ground-Penetrating Radar on Wolverine and Gulkana glaciers, Alaska: Implications for Glacier Mass Balance Modeling (147484)
Daniel McGrath1, Louis Sass2, Chris McNeil3, Esther Babcock4, Salvatore G Candela5, Shad O'Neel1, Anthony A Arendt6 and Hans-Peter Marshall7, (1)USGS Alaska Science Center, Anchorage, AK, United States, (2)USGS Alaska Science Center, Anchorage, United States, (3)United States Geological Survey, Anchorage, United States, (4)Boise State University, Boise, ID, United States, (5)International Arctic Research Center, Fairbanks, AK, United States, (6)University of Washington, eScience Institute, Seattle, United States, (7)Boise State University, Department of Geosciences, Boise, ID, United States
Data, data everywhere but how much do you need? Sensitivity of glacier-wide winter balances to variable data coverage using 170 kilometers of ground- and air-borne ground-penetrating-radar data over Wolverine Glacier, Alaska (166890)
Esther Babcock1, Louis Sass2, Salvatore G Candela3, Daniel McGrath1, Christopher McNeil1 and Shad O'Neel1, (1)USGS Alaska Science Center, Anchorage, AK, United States, (2)USGS Alaska Science Center, Anchorage, United States, (3)Byrd Polar Research Center, School of Earth Sciences, Ohio State University, Columbus, OH, United States
Representing heterogeneous snow accumulation and melt in snowmelt models (150453)
Charles H Luce, USDA Forest Service, Rocky Mountain Research Station, Boise, ID, United States, David G Tarboton, Utah State University, Utah Water Research Laboratory, Logan, UT, United States and Martyn P Clark, National Center for Atmospheric Research, Boulder, United States
A Bayesian Analysis Shows That a Spruce Beetle Outbreak Reduces Snow Interception and Sublimation in a Subalpine Spruce-Fir Forest (152188)
John M Frank1, William J Massman2, Brent E Ewers3 and David G Williams3, (1)US Forest Service Fort Collins, Fort Collins, CO, United States, (2)USDA Forest Service, Rocky Mountain Research Station, Fort Collins, United States, (3)University of Wyoming, Botany, Laramie, United States
Modeling the Variability and Importance of Snow Sublimation in the North-Central Colorado Rocky Mountains (152177)
Graham A Sexstone, U.S. Geological Survey, Lakewood, United States; US Geological Survey, Colorado Water Science Center, Denver, United States, David W Clow, USGS Central Region Offices Denver, Denver, CO, United States, Steven R Fassnacht, Colorado State University, Watershed Science, Fort Collins, United States, Glen E Liston, Colorado State University, Cooperative Institute for Research in the Atmosphere (CIRA), Fort Collins, United States, Christopher A Hiemstra, US Army Corps of Engineers Washington DC, Washington, DC, United States and John F Knowles, University of Colorado at Boulder, INSTAAR, Boulder, CO, United States
Demonstrating the Uneven Importance of Fine-Scale Forest Structure on Snow Distributions using High Resolution Modeling (Invited) (169204)
Patrick D Broxton1, Adrian Adam Harpold2, Wim van Leeuwen1 and Dr. Joel A Biederman, PhD3, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)University of Nevada Reno, Department of Natural Resources and Environmental Science, Reno, NV, United States, (3)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States
Quantifying Persistent Spatial Variability in the Influence of Topography and Vegetation on Snow Depth in the Tuolumne River Basin: Implications for Prediction and Process Knowledge (179085)
Ian Wesley Bolliger, University of California Berkeley, Energy and Resources Group, Berkeley, CA, United States, Noah P Molotch, University of Colorado at Boulder, Geography / INSTAAR, Boulder, United States, Alexei Pozdnoukhov, University of California Berkeley, Berkeley, CA, United States and Margaret S Torn, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States
Investigating the Spatiotemporal Variability of Extreme Orographic Snowfall Processes Across Sierra Nevada, USA (169795)
Laurie Huning, University of California Los Angeles, Los Angeles, CA, United States, Steven A Margulis, University of California, Los Angeles, Department of Civil and Environmental Engineering, Los Angeles, CA, United States and Paul J Neiman, NOAA Camp Springs, Camp Springs, MD, United States

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