Inter-model analysis of tsunami-induced coastal currents
Inter-model analysis of tsunami-induced coastal currents
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DOI：
10.1016/j.ocemod.2017.04.003
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发表时间：
2017-06-01
期刊：
影响因子：
3.2
通讯作者：
Zhang, Y. J.
中科院分区：
文献类型：
--
作者：
Lynett, Patrick J.;Gately, Kara;Zhang, Y. J.
为了帮助制作准确和一致的海上灾害产品，国家海啸减灾计划组织了一次基准研讨会，以评估海啸洋流的数值模拟。13个国际研究小组使用了目前用于减灾研究的一套海啸模型，提出了一系列基准问题的结果；这些结果在本文中进行了总结。比较的重点是物理情况，在这种情况下，洋流是剪切和分离驱动的，因此与所发生的海啸波形分离。总体而言，我们发现，物理复杂性增加的模型提供了更好的精度，并且低阶三维模型优于高阶二维模型。在分离区内和受涡旋强烈影响的地区，模型数据误差和模型间差异的大小可以与平均气流的大小相同。因此，对于受大尺度湍流涡旋影响的区域，我们提出了集合模拟方法的必要性，其中确定性模拟可能具有误导性。作为本文所述分析的结果，我们期望海啸模型建模者现在更好地认识到他们准确捕捉海啸洋流物理的能力，从而更好地理解如何使用这些模拟工具进行危险评估和减灾工作。(C)2017爱思唯尔有限公司。保留所有权利。
To help produce accurate and consistent maritime hazard products, the National Tsunami Hazard Mitigation Program organized a benchmarking workshop to evaluate the numerical modeling of tsunami currents. Thirteen teams of international researchers, using a set of tsunami models currently utilized for hazard mitigation studies, presented results for a series of benchmarking problems; these results are summarized in this paper. Comparisons focus on physical situations where the currents are shear and separation driven, and are thus de-coupled from the incident tsunami waveform. In general, we find that models of increasing physical complexity provide better accuracy, and that low-order three-dimensional models are superior to high-order two-dimensional models. Inside separation zones and in areas strongly affected by eddies, the magnitude of both model-data errors and inter-model differences can be the same as the magnitude of the mean flow. Thus, we make arguments for the need of an ensemble modeling approach for areas affected by large-scale turbulent eddies, where deterministic simulation may be misleading. As a result of the analyses presented herein, we expect that tsunami modelers now have a better awareness of their ability to accurately capture the physics of tsunami currents, and therefore a better understanding of how to use these simulation tools for hazard assessment and mitigation efforts. (C) 2017 Elsevier Ltd. All rights reserved.