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A SHALLOW WATER INTERCOMPARISON OF WAVE MODELS ON LAKE ERIE

机译:伊利湖浅水关系的浅水互相

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The activities of the WAM (WAve Model) and the WISE (Waves In Shallow-water Environments) groups have accelerated our understanding of the physics and numerics of waves in shallow water. Two third generation numerical wave models, namely, the WAM which has been extended to coastal areas and the nearshore wave model SWAN (Simulating WAves Nearshore) which replaced the HISWA (Hlndcasting Shallow water WAves) model are implemented in the shallow water of Lake Erie of the Great Lakes with water depths varying from about 5 m to 50 m. The primary purpose of this study is to examine the performance of the WAM and the SWAN running in shallow water mode and using wind forcings provided by a numerical weather prediction model. The two models are run for selected periods and the results are verified against buoy measurements and the operational forecasts from the RCTB (Regional Centre of Thunder Bay) of Canada. This allows an assessment of the performance of the two models and the effect of shallow water on wave forecasting with a view towards operational implementation of either the WAM or the SWAN model, or both, on Lake Erie.
机译:WAM(波模型)和明智(浅水环境波浪)的活动加速了我们对浅水中波浪物理和数字的理解。延伸到沿海地区的WAM和近岸波浪模型天鹅(模拟波浪近岸)在伊利湖浅水中实施了延伸到沿海地区和近岸波模型天鹅(模拟波浪近岸)的WAM水深的大湖泊从约5米到50米变化。本研究的主要目的是检查WAM和在浅水模式下运行的天鹅的性能,并使用由数值天气预报模型提供的风力强制。这两种模型是针对所选期间运行的,结果验证了加拿大RCTB(雷霆湾区域中心)的浮标测量和运营预测。这允许评估两种模型的性能和浅水对波预测的影响,以便在伊利湖上的WAM或SWAN模型的操作实施方式。

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