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A Statistical Representation of Wind Events in the Great Lakes
Affiliation:1. Department of Water Resources and Environmental Engineering, Tamkang University, 151 Yingzhuan Road, Tamsui District, 25137 New Taipei City, Taiwan;2. Faculty of Environment and Natural Resources, Dalat University, Dalat, Viet Nam;3. Ecole Nationale du Génie de l''Eau et de l''Environnement de Strasbourg 1 quai Koch, 67000 Strasbourg, France;4. Department of Environmental Engineering, Vanung University, No.1, Wanneng Rd., Zhongli District, 32061 Taoyuan City, Taiwan;5. Department of Marine Leisure and Tourism, Taipei University of Maritime Technology, No. 150, Sec. 3, Binhai Rd., Tamsui District, 251 New Taipei City, Taiwan;6. Department of Environmental Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, 702-701 Daegu, Republic of Korea;7. Department of Mechanical Engineering, Yuan Ze University, Taoyuan City, Taiwan
Abstract:We have analyzed hourly observations of overtake wind speed obtained from the eight National Data Buoy Center buoys deployed in the Great Lakes to determine the long-term (10 to 12 year) statistical characteristics of wind events over the lakes. We find that a generalized double-exponential model accurately describes both the return period and the duration of the wind events observed at each buoy, with only slight spatial variations in the model parameters. Wind observations made at several shore stations on Lake Michigan and filtered through a simple overland-overlake wind model confirm the model parameter values determined from the buoy measurements. The generalized function will be useful for engineering and climatological studies of the effects of winds on the Great Lakes.
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