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Towards multiscale modeling of ocean surface turbulent mixing using coupled MPAS-Ocean v6.3 and PALM v5.0

机译:通过耦合MPAS-OCEAN V6.3和Palm V5.0对海洋表面湍流混合的多尺度建模

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A multiscale modeling approach for studying the ocean surface turbulent mixing is explored by coupling an ocean general circulation model (GCM) MPAS-Ocean with the Parallelized Large Eddy Simulation Model (PALM). The coupling approach is similar to the superparameterization approach that has been used to represent the effects of deep convection in atmospheric GCMs. However, the focus of this multiscale modeling approach is on the small-scale turbulent mixing and their interactions with the larger-scale processes in the ocean, so that a more flexible coupling strategy is used. To reduce the computational cost, a customized version of PALM is ported on the general-purpose graphics processing unit (GPU) with OpenACC, achieving 10–16 times overall speedup as compared to running on a single CPU. Even with the GPU-acceleration technique, a superparameterization-like approach to represent the ocean surface turbulent mixing in GCMs using embedded high fidelity and three-dimensional large eddy simulations (LESs) over the global ocean is still computationally intensive and infeasible for long simulations. However, running PALM regionally on selected MPAS-Ocean grid cells is shown to be a promising approach moving forward. The flexible coupling between MPAS-Ocean and PALM allows further exploration of the interactions between the ocean surface turbulent mixing and larger-scale processes, as well as future development and improvement of ocean surface turbulent mixing parameterizations for GCMs.
机译:通过将海洋一般循环模型(GCM)MPA海洋与平行化的大型涡流模拟模型(Palm)耦合,探讨了用于研究海洋表面湍流混合的多尺度建模方法。耦合方法类似于超顺化方法,该方法已被用于代表大气GCMS在大气中对流的影响。然而,这种多尺度建模方法的焦点是小规模湍流混合及其与海洋中较大过程的相互作用,从而使用更灵活的耦合策略。为了降低计算成本,使用OpenACC的通用图形处理单元(GPU)上移植了自定义版本,与单个CPU上运行相比,实现了10-16倍整体加速。即使使用GPU-加速技术,即使在全球海洋上使用嵌入的高保真和三维大型涡流模拟(较少)在全球海洋上仍然可以计算密集,并且对于长时间的仿真来说,即使是使用嵌入式高保真和三维大型涡流模拟(较少)的海洋表面湍流混合。然而,在所选的MPAS-海洋网格细胞上划分地区跑的Palm被认为是前进的有希望的方法。 MPAS-海洋和手掌之间的灵活耦合允许进一步探索海面湍流混合和更大规模过程之间的相互作用,以及未来的发展和改善海洋表面湍流混合参数的GCMS。

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