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Storm surge and wave simulations in the Gulf of Mexico using a consistent drag relation for atmospheric and storm surge models

机译:墨西哥湾的风暴浪涌和波浪模拟,使用一致的大气和风暴浪涌模型的一致阻力关系

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To simulate winds and water levels, numerical weather prediction (NWP) and storm surge models generally use the traditional bulk relation for wind stress, which is characterized by a wind drag coefficient. A still commonly used drag coefficient in those models, some of them were developed in the past, is based on a relation, according to which the magnitude of the coefficient is either constant or increases monotonically with increasing surface wind speed (Bender, 2007; Kim et al., 2008; Kohno and Higaki, 2006). The NWP and surge models are often tuned independently from each other in order to obtain good results. Observations have indicated that the magnitude of the drag coefficient levels off at a wind speed of about 30 m s?1, and then decreases with further increase of the wind speed. Above a wind speed of approximately 30 m s?1, the stress above the air-sea interface starts to saturate. To represent the reducing and levelling off of the drag coefficient, the original Charnock drag formulation has been extended with a correction term. In line with the above, the Delft3D storm surge model is tested using both Charnock's and improved Makin's wind drag parameterization to evaluate the improvements on the storm surge model results, with and without inclusion of the wave effects. The effect of waves on storm surge is included by simultaneously simulating waves with the SWAN model on identical model grids in a coupled mode. However, the results presented here will focus on the storm surge results that include the wave effects. The runs were carried out in the Gulf of Mexico for Katrina and Ivan hurricane events. The storm surge model was initially forced with H*wind data (Powell et al., 2010) to test the effect of the Makin's wind drag parameterization on the storm surge model separately. The computed wind, water levels and waves are subsequently compared with observation data. Based on the good results obtained, we conclude that, for a good reproduction of the storm surges under hurricane conditions, Makin's new drag parameterization is favourable above the traditional Charnock relation. Furthermore, we are encouraged by these results to continue the studies and establish the effect of improved Makin's wind drag parameterization in the wave model. The results from this study will be used to evaluate the relevance of extending the present towards implementation of a similar wind drag parameterization in the SWAN wave model, in line with our aim to apply a consistent wind drag formulation throughout the entire storm surge modelling approach.
机译:为了模拟风力和水位,数值天气预报(NWP)和风暴浪涌模型通常使用传统的散装关系对风力应力,其特征在于风拖系数。在这些模型中仍然常用的阻力系数,其中一些是在过去开发的,基于关系,根据该关系,系数的幅度是恒定的,或者随着表面风速的增加(Bender,2007; Kim等,2008; Kohno和Higaki,2006)。 NWP和浪涌模型通常彼此独立调整,以获得良好的结果。观察结果表明,拖动系数的大小在约30ms≤1的风速下关闭,然后随着风速的进一步增加而降低。在风速高于约30米秒钟的1,气海接口上方的应力开始饱和。要表示拖动系数的减少和调平,原始Charnock拖累制剂已经用校正项扩展。符合上述情况,使用Charnock和改进的Makin的风力拖动参数化测试Delft3D Storm浪涌模型,以评估风暴浪涌模型结果的改进,随着波浪效应。通过在耦合模式下在相同的模型网格上同时模拟波浪模拟波浪来包括波浪浪涌的效果。然而,这里提出的结果将重点关注包括波效应的风暴浪涌结果。该赛是在墨西哥湾进行的Katrina和Ivan飓风事件进行。 Storm Surge模型最初被强制使用H *风数据(Powell等,2010)来测试Makin的风力拖放参数化的效果分别对风暴浪涌模型。随后将计算的风,水位和波与观察数据进行比较。根据获得的良好结果,我们得出结论,在飓风条件下的风暴浪涌的良好复制中,Makin的新阻力参数化是有利的,高于传统的Charnock关系。此外,我们受到这些结果的鼓励,继续研究并建立改进的Makin风力阻力参数化在波模型中的效果。本研究的结果将用于评估在天鹅波模型中延伸到类似风力拖曳参数化的实施的相关性,符合我们在整个风暴浪涌建模方法中应用一致的风力拖曳制定。

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