Quantifying Spatial and Temporal Variability of Snow and Snow Processes
Quantifying Spatial and Temporal Variability of Snow and Snow Processes
Session ID#: 280497
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-Sponsor(s):
- A - Atmospheric Sciences
- H - Hydrology
- NH - Natural Hazards
Index Terms:
0736 Snow [CRYOSPHERE]
0770 Properties [CRYOSPHERE]
0772 Distribution [CRYOSPHERE]
0774 Dynamics [CRYOSPHERE]
Primary Convener: Jesus Revuelto, Instituto Pirenaico de Ecología, Zaragoza, Spain
Conveners: Hans-Peter Marshall, Boise State University, Department of Geosciences, Boise, ID, United States, Erich Peitzsch, USGS, Northern Rocky Mountain Science Center, West Glacier, United States and Jeffrey S Deems, Airborne Snow Observatories, Inc., Mammoth Lakes, United States
See more of: Cryosphere