C030
Quantifying Spatial and Temporal Variability of Snow and Snow Processes
Quantifying Spatial and Temporal Variability of Snow and Snow Processes
Session ID#: 162139
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.
Index Terms:
0736 Snow [CRYOSPHERE]
0742 Avalanches [CRYOSPHERE]
0770 Properties [CRYOSPHERE]
0772 Distribution [CRYOSPHERE]
Primary Convener: Jeffrey S Deems, National Snow and Ice Data Center, Boulder, CO, United States
Conveners: Jesus Revuelto, Instituto Pirenaico de Ecología, Zaragoza, Spain, Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States and Erich Peitzsch, USGS, Northern Rocky Mountain Science Center, West Glacier, MT, United States
See more of: Cryosphere
