HR: 17:48h
AN: A24A-10    [Abstracts]
TI: An Eulerian View of storm events and their relationship to storm surge along the coast of Alaska
AU: * Atkinson, D E
EM: datkinson@iarc.uaf.edu
AF: International Arctic Research Center, University of Alaska Fairbanks 930 Koyukuk Drive, Fairbanks, AK 99775, United States
AU: dos Santos Mesquita, M
EM: michel@iarc.uaf.edu
AF: International Arctic Research Center, University of Alaska Fairbanks 930 Koyukuk Drive, Fairbanks, AK 99775, United States
AU: Danielson, S
EM: weingart@ims.uaf.edu
AF: Institute of Marine Sciences, University of Alaska Fairbanks P.O. Box 757220, Fairbanks, AK 99775, United States
AU: Taylor, K
EM: weingart@ims.uaf.edu
AF: Institute of Marine Sciences, University of Alaska Fairbanks P.O. Box 757220, Fairbanks, AK 99775, United States
AU: Weingartner, T
EM: weingart@ims.uaf.edu
AF: Institute of Marine Sciences, University of Alaska Fairbanks P.O. Box 757220, Fairbanks, AK 99775, United States
AB: Automated, "objective" storm classification methods work with selected meteorological variables to identify cyclonic systems. Typically a Lagrangian approach is used, whereby a storm is identified and then tracked throughout its life cycle. For weather-dependent applications, however, the action of a storm at a given point is important, e.g., coastal engineering. An event algorithm that implements this Eulerian approach to storm identification has been developed by Atkinson (2005). Using this algorithm two storm event databases are built and related to surge events as recorded at NOAA water level stations for various sites around the coast of Alaska. The first event database is derived from wind records for select coastal weather stations in Alaska; the second using winds from the NCEP/NCAR reanalysis dataset.
DE: 3309 Climatology (1616, 1620, 3305, 4215, 8408)
DE: 3329 Mesoscale meteorology
DE: 4217 Coastal processes
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting