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Your
query was:
an="B31E-01"
HR: 08:00h
AN: B31E-01 INVITED
TI: Spatially
Distributed Snowmelt and Metamorphism Models: How Well Do They Work?
AU: * Dozier, J
EM: dozier@bren.ucsb.edu
AF: University of California, Bren School of Env
Sci and Mgmt, Santa Barbara, CA 93106-5131 United States
AB: Our interest in the use of surface energy
balance models and measurements in rugged topography stems from its
intellectually interesting appeal and from the pleasure in fieldwork in
interesting terrain. Snow is a particularly fascinating application. Models
of processes in the alpine snow cover fundamentally depend on the spatial
distribution of the surface energy balance over areas where topographic
variability causes huge differences in the radiation balance, in convective
processes, and in snow depth because of redistribution by wind. Challenges
arise from the need to measure some of the variables--albedo, grain size,
temperature, liquid water, and depth or water equivalent--at a scale
commensurate with that of the terrain. Modeling challenges arise because of
the three-dimensional transport of heat and water vapor above the surface and
liquid water within the snowpack. Our work to date shows that the radiation
balance is usually the most important component in the energy balance
calculations, and therefore spatially distributed albedo measurements from
remote sensing dramatically improve model performance. Lateral flow of water
in the snowpack is known to occur but is hard to measure, and it causes the
current models to miss the early influx of water from the snow to the stream.
DE: 0736 Snow (1827, 1863)
DE: 1863 Snow and ice (0736, 0738, 0776, 1827)
SC: Biogeosciences [B]
MN: Fall Meeting 2005
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