| LI Yan,QIAO Fangli,YIN Xunqiang,SHU Qi,MA Hongyu.The improvement of the one-dimensional Mellor-Yamada and K-profile parameterization turbulence schemes with the non-breaking surface wave-induced verticalmixing[J].Acta Oceanologica Sinica,2013,32(9):62-73 |
| The improvement of the one-dimensional Mellor-Yamada and K-profile parameterization turbulence schemes with the non-breaking surface wave-induced verticalmixing |
| The improvement of the one-dimensional Mellor-Yamada and K-profile parameterization turbulence schemes with the non-breaking surface wave-induced verticalmixing |
| 投稿时间：2010-11-27 修订日期：2013-04-15 |
| DOI：10.1007/s13131-013-0353-x |
| 中文关键词: non-breaking wave-induced mixing mixed layer numerical modeling Papa Station |
| 英文关键词:non-breaking wave-induced mixing mixed layer numerical modeling Papa Station |
| 基金项目:The National Basic Research Program (“973” Program) of China under contract No. 2010CB950303;the Public Science and Technology Research Funds Projects of Ocean under contract No. 201105019;the National Key Technology Research and Development Programof China under contract No. 2011BAC03B02. |
| 作者 | 单位 | E-mail | | LI Yan | College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266003, China
Key Laboratory of Marine Science and Numerical Modeling (MASNUM), First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao 266061, China | | | QIAO Fangli | Key Laboratory of Marine Science and Numerical Modeling (MASNUM), First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao 266061, China | qiaofl@fio.org.cn | | YIN Xunqiang | Key Laboratory of Marine Science and Numerical Modeling (MASNUM), First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao 266061, China | | | SHU Qi | Key Laboratory of Marine Science and Numerical Modeling (MASNUM), First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao 266061, China | | | MA Hongyu | Key Laboratory of Marine Science and Numerical Modeling (MASNUM), First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao 266061, China | |
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| 中文摘要: |
| Both the level 2.5 Mellor-Yamada turbulence closure scheme (MY) and K-profile parameterization (KPP) are popularly used by the oceanmodeling community. The MY and the KPP are improved through including the non-breaking surface wave-induced vertical mixing (Bv), and the improved schemes were tested by using continuous data at the Papa ocean weather station (OWS) during 1961-1965. The numerical results showed that the Bv can make the temperature simulations fit much better with the continuous data from Papa Station. The two improved schemes overcame the shortcomings of predicting too shallow upper mixed layer depth and consequently overheated sea surface temperature during summertime, which are in fact common problems for all turbulence closure models. Statistical analysis showed that the Bv effectively reduced themean absolute error and root mean square error of the upper layer temperature and increased the correlation coefficient between simulation and the observation. Further more, the performance of verticalmixing induced by shear instability and the Bv is also compared. Both the temperature structure and its seasonal cycle significantly improved by including the Bv, regardless of whether shear instability was included or not, especially for the KPP mixing scheme, which suggested that Bv played a dominant role in the upper ocean where the mean current was relatively weak, such as at Papa Station. These results may provide a clue to improve ocean circulation models. |
| 英文摘要: |
| Both the level 2.5 Mellor-Yamada turbulence closure scheme (MY) and K-profile parameterization (KPP) are popularly used by the oceanmodeling community. The MY and the KPP are improved through including the non-breaking surface wave-induced vertical mixing (Bv), and the improved schemes were tested by using continuous data at the Papa ocean weather station (OWS) during 1961-1965. The numerical results showed that the Bv can make the temperature simulations fit much better with the continuous data from Papa Station. The two improved schemes overcame the shortcomings of predicting too shallow upper mixed layer depth and consequently overheated sea surface temperature during summertime, which are in fact common problems for all turbulence closure models. Statistical analysis showed that the Bv effectively reduced themean absolute error and root mean square error of the upper layer temperature and increased the correlation coefficient between simulation and the observation. Further more, the performance of verticalmixing induced by shear instability and the Bv is also compared. Both the temperature structure and its seasonal cycle significantly improved by including the Bv, regardless of whether shear instability was included or not, especially for the KPP mixing scheme, which suggested that Bv played a dominant role in the upper ocean where the mean current was relatively weak, such as at Papa Station. These results may provide a clue to improve ocean circulation models. |
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