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Dynamical Downscaling of Coastal Dynamics for Two Extreme Storm Surge Events in Japan
Frontiers in Marine Science ( IF 2.8 ) Pub Date : 2020-12-09 , DOI: 10.3389/fmars.2020.566277
Joško Trošelj , Junichi Ninomiya , Satoshi Takewaka , Nobuhito Mori

Hindcasts of the downscaled fine resolution scale coastal dynamics are important to quantitatively analyze variations in storm surge heights, water temperature, salinity and high velocities which induce shoreline changes. This study quantifies the impact of two extreme storm surge events in October 2006 on the Ibaraki Coast in Japan to the coastal Sea Surface Height (SSH), vertically averaged velocity (Vbar), Sea Surface Temperature (SST), and Sea Surface Salinity (SSS) by reproducing hindcasts of the dynamically downscaled coastal dynamics from a 10 km resolution parent dataset (Four-dimensional Variational Ocean ReAnalysis for the Western North Pacific over 30 years, FORA-WNP30) to related 2 km, 667 and 222 m resolution datasets using three domain nesting Coupled-Ocean-Atmosphere-Wave-Sediment-Transport Modeling System (COAWST). Validation was made by comparing the SSH, Vbar, SST, and SSS modeled results with observed data and discussing differences in their values in the downscaled and the parent datasets. This study concludes that the low-pressure system event on October 7 had much bigger impact to the SSH and Vbar than the one on October 24, which had similar peak of southward surface wind but lower Sea Level Pressure drop, whereas the impact to the SST and SSS was similar. These findings are helpful in understanding and assessing shoreline changes and damages on the well-developed local fishery and seashell industry. Finally, these findings and modeling approach are useful for climate change impact assessment and can ultimately serve as guidelines for developing adaptation policies.



中文翻译:

日本两个极端风暴潮事件的海岸动力学动态缩减

缩减后的精细分辨率尺度海岸动力学的后兆对于定量分析引起海岸线变化的风暴潮高度,水温,盐度和高速变化具有重要意义。这项研究量化了2006年10月在日本茨城海岸发生的两次极端风暴潮事件对沿海海平面高度(SSH),垂直平均速度(V bar)的影响),海面温度(SST)和海面盐度(SSS),方法是从分辨率为10 km的父数据集再现动态缩减的沿海动力学的后预报(过去30年中,北太平洋西部的多维变分海洋再分析,FORA- (WNP30)使用三个域嵌套海洋耦合大气沉积传输模型系统(COAWST)关联到相关的2 km,667和222 m分辨率数据集。通过将SSH,V bar,SST和SSS建模结果与观察到的数据进行比较,并讨论缩小后的数据集和父数据集中的值差异,从而进行验证。这项研究得出的结论是,10月7日的低压系统事件对SSH和V bar的影响更大。与10月24日的情况相比,南风的峰值相似,但海平面压降较低,而对SST和SSS的影响相似。这些发现有助于理解和评估发达的当地渔业和贝壳产业对海岸线的变化和破坏。最后,这些发现和建模方法对于气候变化影响评估很有用,并最终可以用作制定适应政策的指南。

更新日期:2021-01-13
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