Impact of Enhanced Wave-Induced Mixing on the Ocean Upper Mixed Layer during Typhoon Nepartak in a Regional Model of the Northwest Pacific Ocean

2020年1月1日·
Chengcheng Yu
,
Yongzeng Yang
尹训强
尹训强
,
Meng Sun
,
Yongfang Shi
· 0 分钟阅读时长
摘要
To investigate the effect of wave-induced mixing on the upper ocean structure, especially under typhoon conditions, an ocean-wave coupled model is used in this study. Two physical processes, wave-induced turbulence mixing and wave transport flux residue, are introduced. We select tropical cyclone (TC) Nepartak in the Northwest Pacific ocean as a TC example. The results show that during the TC period, the wave-induced turbulence mixing effectively increases the cooling area and cooling amplitude of the sea surface temperature (SST). The wave transport flux residue plays a positive role in reproducing the distribution of the SST cooling area. From the intercomparisons among experiments, it is also found that the wave-induced turbulence mixing has an important effect on the formation of mixed layer depth (MLD). The simulated maximum MLD is increased to 54 m and is only 1 m less than the observed value. The wave transport flux residue shows a dominant role in the mixed layer temperature (MLT) changing. The mean error of the MLT is reduced by 0.19 °C compared with the control experiment without wave mixing effects. The study shows that the effect of wave mixing should be included in the upper ocean structure modeling.
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Remote Sensing
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尹训强
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副研究员
主要致力于海洋数值模拟与数据同化研究,在国内外杂志上发表文章60余篇,承担了国家基金项目、国家973课题、公益性行业专项课题和重点研发计划等多项研究任务。近年来,在多变量联合同化调整和高效并行计算等研究方面取得重要成果,发展了海洋全要素高效并行数据同化系统,有效提高了海洋预报能力和气候预测水平,发布了我国首套全球高分辨率再分析数据。基于Kalman滤波原理,通过变量间的协方差表征海洋动力学特征以及多种影响因素之间的相互作用,有效利用观测信息优化其周围网的各种变量,实现多变量联合同化调整。作为核心成员,突破了负载近绝对均衡、主从核协同计算框架设计和循环折叠流水线等若干关键技术,为海洋数值预报系统建设提供了技术支撑。据此研发了海洋全要素高效并行数据同化系统,已成功应用到21世纪海上丝绸之路海洋环境预报、第二代海洋环境保障等多个预报系统,并支撑了气候预测和观测设计优化等研究的开展。
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