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Impact of Vertical Mixing Parameterizations on Internal Gravity Wave Spectra in Regional Ocean Models
Geophysical Research Letters ( IF 5.2 ) Pub Date : 2022-08-11 , DOI: 10.1029/2022gl099614
Ritabrata Thakur 1 , Brian K. Arbic 1 , Dimitris Menemenlis 2 , Kayhan Momeni 3 , Yulin Pan 4 , W. R. Peltier 3 , Joseph Skitka 1 , Matthew H. Alford 5 , Yuchen Ma 3
Affiliation  

We present improvements in the modeling of the vertical wavenumber spectrum of the internal gravity wave continuum in high-resolution regional ocean simulations. We focus on model sensitivities to mixing parameters and comparisons to McLane moored profiler observations in a Pacific region near the Hawaiian Ridge, which features strong semidiurnal tidal beams. In these simulations, the modeled continuum exhibits high sensitivity to the background mixing components of the K-Profile Parameterization (KPP) vertical mixing scheme. Without the KPP background mixing, stronger vertical gradients in velocity are sustained in the simulations and the modeled kinetic energy and shear spectral slopes are significantly closer to the observations. The improved representation of internal wave dynamics in these simulations makes them suitable for improving ocean mixing estimates and for the interpretation of satellite missions such as the Surface Water and Ocean Topography mission.

中文翻译:

区域海洋模型中垂直混合参数化对内重力波谱的影响

我们提出了高分辨率区域海洋模拟中内部重力波连续体垂直波数谱建模的改进。我们专注于模型对混合参数的敏感性以及与夏威夷海脊附近太平洋地区麦克莱恩系泊剖面仪观测的比较,该地区具有强烈的半日潮汐束。在这些模拟中,建模的连续体对 K 剖面参数化 (KPP) 垂直混合方案的背景混合分量表现出高灵敏度。在没有 KPP 背景混合的情况下,在模拟中保持了更强的垂直速度梯度,并且模拟的动能和剪切谱斜率明显更接近于观测值。
更新日期:2022-08-16
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