Quantifying Spatial and Temporal Variability of Snow and Snow Processes

Session ID#: 124371

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 and layer 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 provides a forum for studies which quantify spatial and temporal variations in snow and snow-related processes for a wide range of problems, including snow hydrology, snow avalanches, and remote sensing or modeling efforts.
Co-Organized:
  • H - Hydrology
Index Terms:

0736 Snow [CRYOSPHERE]
0740 Snowmelt [CRYOSPHERE]
0742 Avalanches [CRYOSPHERE]
0772 Distribution [CRYOSPHERE]


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, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States, Steven R Fassnacht, Colorado State University, Watershed Science, Fort Collins, CO, United States and Jesus Revuelto, Instituto Pirenaico de EcologĂ­a, Zaragoza, Spain
Primary Liaison:  Jeffrey S Deems, University of Colorado, Boulder, CO, United States
See more of: Cryosphere