Relative dispersion and relative diffusivities in an ocean-wave coupled model of the North Sea

IF 2.2 3区 地球科学 Q2 OCEANOGRAPHY Ocean Dynamics Pub Date : 2024-06-03 DOI:10.1007/s10236-024-01619-6
Luciana Villa Castrillón, Marcel Ricker, Joanna Staneva, Jens Meyerjürgens, Thomas H. Badewien, Emil V. Stanev
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Abstract

The study analyzes the impact of various wave-induced processes on relative dispersion and diffusivities in the North Sea using OpenDrift, a Lagrangian particle-drift model driven by a fully coupled NEMO-WAM model. The coupled model parameterizations include sea state-dependent momentum flux, energy flux, and wave-induced mixing. The study demonstrates that Eulerian currents, influenced by the interaction between the ocean and wave models, significantly enhance particle transport. Experiments conducted using drifter clusters obtained during an RV Heincke excursion further confirm the impact of wind-wave coupling. The analysis includes a comparison of results from experiments with and without wave coupling. The impact of diffusion in the Lagrangian model on relative dispersion is investigated, with the conclusion that diffusion is essential for achieving precise simulations. Furthermore, the incorporation of wind-wave-driven mixing parameters, including sea state-dependent momentum flux, energy flux, and wave-induced mixing, into the hydrodynamic model leads to elevated levels of relative dispersion and diffusivity.

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北海海洋波耦合模型中的相对扩散和相对扩散率
该研究利用由完全耦合的 NEMO-WAM 模型驱动的拉格朗日粒子漂移模型 OpenDrift,分析了各种波浪诱导过程对北海相对弥散和扩散的影响。耦合模型参数化包括与海况相关的动量通量、能量通量和波浪诱导混合。研究表明,欧拉海流受海洋和波浪模型之间相互作用的影响,能显著增强粒子的传输。利用 RV Heincke 游程中获得的漂流簇进行的实验进一步证实了风浪耦合的影响。分析包括对有波浪耦合和无波浪耦合实验结果的比较。研究了拉格朗日模型中的扩散对相对分散的影响,得出的结论是扩散对实现精确模拟至关重要。此外,将风浪驱动的混合参数(包括与海况有关的动量通量、能量通量和波浪诱导的混合)纳入流体力学模型,会导致相对弥散和扩散水平的提高。
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来源期刊
Ocean Dynamics
Ocean Dynamics 地学-海洋学
CiteScore
5.40
自引率
0.00%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Ocean Dynamics is an international journal that aims to publish high-quality peer-reviewed articles in the following areas of research: Theoretical oceanography (new theoretical concepts that further system understanding with a strong view to applicability for operational or monitoring purposes); Computational oceanography (all aspects of ocean modeling and data analysis); Observational oceanography (new techniques or systematic approaches in measuring oceanic variables, including all aspects of monitoring the state of the ocean); Articles with an interdisciplinary character that encompass research in the fields of biological, chemical and physical oceanography are especially encouraged.
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