A dynamically adaptive Langmuir turbulence parameterization scheme for variable wind wave conditions: Model application

IF 3.1 3区地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES

Ocean Modelling Pub Date : 2024-10-09 DOI:10.1016/j.ocemod.2024.102453

Fangrui Xiu , Zengan Deng

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引用次数: 0

Abstract

Langmuir circulations and turbulence (LT) are crucial in the upper ocean mixed layer, significantly affecting the air-sea exchange of momentum, heat, and mass. The development of an appropriate LT parameterization scheme is vital for ocean modeling. This study employed the Large-eddy Simulation (LES) and the Physics-informed Neural Network (PINN) to optimize the KC04 Langmuir turbulence scheme by dynamically adjusting E₆ as a key parameter determined by winds and waves. The LES simulations under different wind wave states indicated the PINN-inferred values for E₆. Modelling results from GOTM in OCSPapa station demonstrated that the optimized scheme outperformed the original KC04 scheme in simulating the vertical eddy diffusivity and temperature, with an ∼6.24% annual reduction in the root mean square error (RMSE) for the temperature and an ∼8.23% reduction in the RMSE during autumn. Furthermore, the optimized scheme resulted in a thicker mixed layer, reaching 4.9 m. This enhanced LT parameterization scheme exhibited the improved robustness for variable spatiotemporal resolutions, significantly improving the modeling accuracy.

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针对多变风浪条件的动态自适应朗缪尔湍流参数化方案：模型应用

朗缪尔环流和湍流（LT）在海洋上层混合层中至关重要，对海气动量、热量和质量交换有重大影响。制定适当的 LT 参数化方案对海洋建模至关重要。本研究采用大涡模拟（LES）和物理信息神经网络（PINN），通过动态调整由风浪决定的关键参数 E6，优化 KC04 Langmuir 湍流方案。不同风浪状态下的 LES 模拟显示了 PINN 所推导的 E6 值。在 OCSPapa 站进行的 GOTM 模拟结果表明，优化方案在模拟垂直涡扩散率和温度方面优于原始 KC04 方案，温度的均方根误差（RMSE）年减幅为 6.24%，秋季的均方根误差减幅为 8.23%。此外，优化后的方案还增加了混合层厚度，达到 4.9 米。

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来源期刊

Ocean Modelling 地学-海洋学

CiteScore

5.50

自引率

9.40%

发文量

审稿时长

19.6 weeks

期刊介绍： The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.