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An Exploration of Wind Stress Calculation Techniques in Hurricane Storm Surge Modeling

机译:飓风风暴潮建模中风应力计算技术的探索

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As hurricanes continue to threaten coastal communities, accurate storm surge forecasting remains a global priority. Achieving a reliable storm surge prediction necessitates accurate hurricane intensity and wind field information. The wind field must be converted to wind stress, which represents the air-sea momentum flux component required in storm surge and other oceanic models. This conversion requires a multiplicative drag coefficient for the air density and wind speed to represent the air-sea momentum exchange at a given location. Air density is a known parameter and wind speed is a forecasted variable, whereas the drag coefficient is calculated using an empirical correlation. The correlation’s accuracy has brewed a controversy of its own for more than half a century. This review paper examines the lineage of drag coefficient correlations and their acceptance among scientists.
机译:随着飓风继续威胁沿海社区,准确的风暴潮预报仍然是全球优先事项。为了获得可靠的风暴潮预报,需要准确的飓风强度和风场信息。风场必须转换为风应力,它代表风暴潮和其他海洋模型所需的海气动量通量分量。这种转换需要空气密度和风速的乘阻系数来表示给定位置的海气动量交换。空气密度是一个已知参数,风速是一个预测变量,而阻力系数是使用经验相关性来计算的。超过半个世纪以来,相关性的准确性一直在引发争议。这篇综述论文检验了阻力系数相关性的沿袭及其在科学家中的接受度。

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