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首页> 外文期刊>Journal of Physical Oceanography >A Modified Vertical Mixing Parameterization for Its Improved Ocean and Coupled Simulations in the Tropical Pacific
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A Modified Vertical Mixing Parameterization for Its Improved Ocean and Coupled Simulations in the Tropical Pacific

机译：改进的垂直混合参数化及其改进的海洋和热带太平洋的耦合模拟

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摘要

Climate models suffer from significant biases over the tropical Pacific Ocean, including a too-cold cold tongue and too-warm temperature at the depth of the thermocline. The emergence of model biases can be partly attributed to vertical mixing parameterizations, in which there are great uncertainties in selections of functional forms and empirical parameters. In this paper, the impacts of two different vertical mixing schemes on the tropical Pacific temperature simulations are investigated using version 5 of the Modular Ocean Model (MOM5). One vertical mixing scheme is the widely used K-profile parameterization (KPP) scheme, and the other is a hybrid mixing scheme (the Chen scheme) by combining a Kraus-Turner-type bulk mixed layer (ML) model with Peters et al.'s shear instability mixing model (PGT model). It is shown that the Chen scheme works better than the KPP scheme for SST simulation but produces an exaggerated subsurface warm bias simultaneously. The better SST simulation can be attributed to the employment of the PGT model, which produces lower levels of shear instability mixing than its counterpart in the KPP scheme. Furthermore, a modified KPP scheme is presented in which its shear instability mixing model and constant background diffusivity are replaced by the PGT model and the Argo-derived background diffusivity, respectively. This new scheme is then employed into MOM5-based ocean-only and coupled simulations, demonstrating substantial improvements in temperature simulations over the tropical Pacific. The modified KPP scheme can be easily employed into other ocean models, offering an effective way to improve ocean simulations.
机译：气候模式在热带太平洋上存在明显的偏差，包括太冷的舌头和热跃层深度的温度太高。模型偏差的出现可以部分归因于垂直混合参数化，其中功能形式和经验参数的选择存在很大的不确定性。在本文中，使用模块化海洋模型（MOM5）的第5版，研究了两种不同的垂直混合方案对热带太平洋温度模拟的影响。一种垂直混合方案是广泛使用的K轮廓参数化（KPP）方案，另一种是将Kraus-Turner型本体混合层（ML）模型与Peters等人结合起来的混合混合方案（Chen方案）。的剪切不稳定性混合模型（PGT模型）。结果表明，对于SST模拟，Chen方案比KPP方案更好，但同时会产生夸大的地下暖偏。更好的SST模拟可以归因于PGT模型的使用，该模型产生的剪切不稳定性混合水平低于KPP方案中的剪切不稳定性混合水平。此外，提出了一种改进的KPP方案，其中其剪切不稳定性混合模型和恒定的背景扩散率分别被PGT模型和Argo衍生的背景扩散率代替。然后，该新方案被用于基于MOM5的仅海洋和耦合模拟中，证明了热带太平洋温度模拟的实质性改进。修改后的KPP方案可以轻松地用于其他海洋模型，从而提供了一种改进海洋模拟的有效方法。

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  • 来源
    《Journal of Physical Oceanography》 |2019年第1期|21-37|共17页
  • 作者

    Zhu Yuchao; Zhang Rong-Hua;

  • 作者单位

    Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China|Univ Chinese Acad Sci, Beijing, Peoples R China|Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China;

    Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China|Univ Chinese Acad Sci, Beijing, Peoples R China|Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China|Pilot Natl Lab Marine Sci & Technol, Qingdao, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Climate models; Ocean models; Parameterization;

    机译：气候模式海洋模式参数化;

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