| ZHAO Chang,QIAO Fangli,XIA Changshui,WANG Guansuo. 2012. Sensitive study of the long and short surface wave-induced vertical mixing in a wave-circulation coupled model. Acta Oceanologica Sinica, (4):1－10 |
| Sensitive study of the long and short surface wave-induced vertical mixing in a wave-circulation coupled model |
| Sensitive study of the long and short surface wave-induced vertical mixing in a wave-circulation coupled model |
| Received:November 19, 2011 Revised:February 15, 2012 |
| DOI：10.1007/s13131-012-0215-y |
| Key words:wave-induced mixing wave-circulation coupled model long surface wave-induced mixing daily mean wave-induced mixing monthly mean wave-induced mixing |
| 中文关键词: wave-induced mixing wave-circulation coupled model long surface wave-induced mixing daily mean wave-induced mixing monthly mean wave-induced mixing |
| 基金项目:The "973" Project of China under contract No. 2010CB950300; the Project of the National Natural Science Foundation of China under contract Nos 40730842 and 41005032; and the Scientific Research Foundation of the First Institute of Oceanography, State Oceanic Administration of China under contrat No. 2011T02. |
| Author Name | Affiliation | E-mail | | ZHAO Chang | College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China
Key Laboratory of Marine Science and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | QIAO Fangli | Key Laboratory of Marine Science and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | qiaofl@fio.org.cn | | XIA Changshui | Key Laboratory of Marine Science and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | WANG Guansuo | College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China
Key Laboratory of Marine Science and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | |
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| Abstract: |
| The previous studies by the MASNUM research team have shown the effectiveness of the waveinduced mixing (Bv) in improving the simulation of upper-ocean thermal structure. The mechanisms of Bv are further investigated by incorporating different Bv products into the MASNUM wave-circulation coupled model. First, experiments were designed to explore the effects of Bv, which contain the contributions at different wave lengths (l). The results of three experiments, the non-Bv case, the short-wave case (l <300 m), and the long-wave case (l >300 m) are compared, and it is found that the long waves are the most important component for Bv to generate mixing in the upper ocean. As the swell plays dominant role in mixing, the parameterization of Bv into wind may be not a proper way. Second, Bv effects at different time-scales, including daily and monthly, were examined. The results show that the monthly averaged Bv has larger impact than the daily averaged Bv, especially in summer. |
| 中文摘要: |
| The previous studies by the MASNUM research team have shown the effectiveness of the waveinduced mixing (Bv) in improving the simulation of upper-ocean thermal structure. The mechanisms of Bv are further investigated by incorporating different Bv products into the MASNUM wave-circulation coupled model. First, experiments were designed to explore the effects of Bv, which contain the contributions at different wave lengths (l). The results of three experiments, the non-Bv case, the short-wave case (l <300 m), and the long-wave case (l >300 m) are compared, and it is found that the long waves are the most important component for Bv to generate mixing in the upper ocean. As the swell plays dominant role in mixing, the parameterization of Bv into wind may be not a proper way. Second, Bv effects at different time-scales, including daily and monthly, were examined. The results show that the monthly averaged Bv has larger impact than the daily averaged Bv, especially in summer. |
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