Ocean Modelling ( IF 3.2 ) Pub Date : 2021-06-02 , DOI: 10.1016/j.ocemod.2021.101820 Ajimon Thomas , J.C. Dietrich , M. Loveland , A. Samii , C.N. Dawson
Storm surge and coastal flooding predictions can require high resolution of critical flow pathways and barriers, typically with simulations using grids/meshes with millions of cells/elements to represent a coastal region. However, the cost of this resolution can slow forecasts during a storm. To add resolution when and where it is needed, previous studies have used adaptive mesh methods, which update resolution at single or multiple cells but which require hierarchies of and thresholds for refinement, and nesting methods, which update resolution at subdomains but which require additional simulations. This research proposes a middle way, in which predictions from a coarse mesh are mapped, mid-simulation, onto a fine mesh with increased resolution near the storm’s projected landfall location. The coarse and fine meshes are pre-developed, thus removing any refinement decisions during the simulation, the solution mapping uses a widely used framework, thus enabling an efficient interpolation, and the same simulation is continued, thus eliminating a separate full-domain simulation. For four historical storms, results show efficiency gains of up to 53 percent, with minimal accuracy losses relative to a static simulation.
中文翻译:
通过在模拟过程中切换网格来改进沿海洪水预测
风暴潮和沿海洪水预测可能需要关键流动路径和障碍的高分辨率,通常使用具有数百万个单元/元素的网格/网格来表示沿海地区的模拟。但是,此解决方案的成本可能会降低风暴期间的预报速度。为了在需要的时间和地点增加分辨率,以前的研究使用了自适应网格方法,更新单个或多个单元的分辨率,但需要细化的层次结构和阈值,以及嵌套方法,更新子域的分辨率,但需要额外的模拟. 这项研究提出了一种中间方法,在这种方法中,粗网格的预测在模拟中期映射到风暴预计登陆位置附近分辨率更高的精细网格上。粗细网格是预先开发的,因此在模拟过程中消除了任何细化决策,解决方案映射使用广泛使用的框架,从而实现有效的插值,并继续相同的模拟,从而消除单独的全域模拟。对于四次历史风暴,结果显示效率提升高达 53%,相对于静态模拟,精度损失最小。