| ZHANG Yani,ZHOU Faxiu,HUANG Fei.Vertical characteristics revealed by biweekly and synoptic variability of upper sea temperature in the northern South China Sea[J].Acta Oceanologica Sinica,2005,(3):37-45 |
| Vertical characteristics revealed by biweekly and synoptic variability of upper sea temperature in the northern South China Sea |
| Vertical characteristics revealed by biweekly and synoptic variability of upper sea temperature in the northern South China Sea |
| 投稿时间：2004-08-21 修订日期：2005-03-17 |
| DOI： |
| 中文关键词: South China Sea biweekly variability synoptic variability surface layer subsurface layer |
| 英文关键词:South China Sea biweekly variability synoptic variability surface layer subsurface layer |
| 基金项目: |
| 作者 | 单位 | E-mail | | ZHANG Yani | State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics(LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Department of Marine Meteorology, Ocean University of China, Qingdao 266003, China | zhyn@mail.iap.ac.cn | | ZHOU Faxiu | Department of Marine Meteorology, Ocean University of China, Qingdao 266003, China | | | HUANG Fei | Department of Marine Meteorology, Ocean University of China, Qingdao 266003, China | |
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| 中文摘要: |
| On the basis of the analysis of the sea temperature data that are observed from the three automatic temperature line acquisition sysem mooring buoys deployed in the central South China Sea (SCS) during South China Sea monsoon experiment, vertical features of biweekly and synoptic variability are discussed. There are five vertical modes, that is, subsurface temperature variability is in phase with,out of phase with, leads to, lags the surface temperature variability, and at depths within the subsurface layer the upper and lower temperature variations are out of phase. The formation of these vertical modes is related to the property of low-level atmospheric forcing and to the background in atmosphere and ocean. Wind stress curl is the main driving factor in forming Modes 1 and 3, and wind stresses in forming Modes 2 and 4. |
| 英文摘要: |
| On the basis of the analysis of the sea temperature data that are observed from the three automatic temperature line acquisition sysem mooring buoys deployed in the central South China Sea (SCS) during South China Sea monsoon experiment, vertical features of biweekly and synoptic variability are discussed. There are five vertical modes, that is, subsurface temperature variability is in phase with,out of phase with, leads to, lags the surface temperature variability, and at depths within the subsurface layer the upper and lower temperature variations are out of phase. The formation of these vertical modes is related to the property of low-level atmospheric forcing and to the background in atmosphere and ocean. Wind stress curl is the main driving factor in forming Modes 1 and 3, and wind stresses in forming Modes 2 and 4. |
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