The spatiotemporal variation of the wind-induced near-inertial energy flux in the mixed layer of the South China Sea

LI Juan; LIU Junliang; CAI Shuqun; PAN Jiayi

doi:10.1007/s13131-015-0597-8

南海混合层近惯性能通量的时空变化

doi: 10.1007/s13131-015-0597-8

1.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;University of Chinese Academy of Sciences, Beijing 100049, China
2.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
3.
Institute of Earth and Space Information Science, Chinese University of Hong Kong, Hong Kong, China

基金项目: The Strategic Priority Research Program of the Chinese Academy of Sciences under contract No. XdA11020201; the National Basic Research Program of China under contract No. 2013CB956101; the Knowledge Innovation Program of the Chinese Academy of Sciences under contract No. SQ201302; the National Science Foundation Council Grant of China under contract Nos 41430964, 41406023 and 41025019; the Chinese Academy of Sciences/State Administration of Foreign Experts Affairs International Partnership Program for Creative Research Teams and General Research Fund of Hong Kong Research Grants Council under contract No. CUHK402912.

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出版历程
- 收稿日期: 2014-07-23
- 修回日期: 2014-09-10

The spatiotemporal variation of the wind-induced near-inertial energy flux in the mixed layer of the South China Sea

1.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;University of Chinese Academy of Sciences, Beijing 100049, China
2.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
3.
Institute of Earth and Space Information Science, Chinese University of Hong Kong, Hong Kong, China

摘要

摘要: 本文基于QuikSCAT /NCEP混合风场资料和SOdA资料, 利用经实测流场验证的slab模式来计算南海混合层的近惯性能通量, 进而剖析了南海混合层近惯性能通量的时空分布特征. 研究结果表明: 南海混合层近惯性能通量存在着显著的时空变化, 在吕宋岛西侧整年、中南半岛东侧的夏、秋、冬季以及南海北部的5至9月存在着一个高值区, 前两个海区可能是受当地较大的风应力旋度影响, 而南海北部则可能是由于该海域夏季前后浅薄的混合层影响;且由于台风的影响, 南海混合层月平均的近惯性能通量在夏秋季比较大. 南海混合层多年平均的近惯性能通量约为1.25 mW/m², 近惯性能量约为4.4GW. 研究还表明, 南海混合层近惯性能通量月平均值与Niño3.4指数的年际变化呈负相关关系.
- 近惯性能通量 /
- 混合层 /
- 时空变化 /
- slab模式 /
- 南海
Abstract: On the basis of the QSCAT/NCEP blended wind data and simple ocean data assimilation (SOdA), the wind-induced near-inertial energy flux (NIEF) in the mixed layer of the South China Sea (SCS) is estimated by a slab model, and the model results are verified by observational data near the Xisha Islands in the SCS. Then, the spatial and temporal variations of the NIEF in the SCS are analyzed. It is found that, the monthly mean NIEF exhibits obvious spatial and temporal variabilities, i.e., it is large west of Luzon Island all the year, east of the Indo-China Peninsula all the year except in spring, and in the northern SCS from May to September. The large monthly mean NIEF in the first two zones may be affected by the large local wind stress curl whilst that in the last zone is probably due to the shallow mixed layer depth. Moreover, the monthly mean NIEF is relatively large in summer and autumn due to the passage of typhoons. The spatial mean NIEF in the mixed layer of the SCS is estimated to be about 1.25 mW/m² and the total wind energy input from wind is approximately 4.4 GW. Furthermore, the interannual variability of the spatial monthly mean NIEF and the Niño3.4 index are negatively correlated.
- near-inertial energy flux /
- mixed layer /
- spatiotemporal variation /
- slab model /
- South China Sea

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参考文献(30)

Alford M H. 2001. Internal swell generation: the spatial distribution of energy flux from the wind to mixed layer near-inertial motions. Journal of Physical Oceanography, 31(8): 2359-2368

Alford M H. 2003. Improved global maps and 54-year history of wind-work on ocean inertial motions. Geophysical Research Letters, 30(8): 1424

Alford M H, Gregg M C. 2001. Near-inertial mixing: modulation of shear, strain and microstructure at low latitude. Journal of Geophysical Research: Oceans (1978-2012), 106(C8): 16947-16968

Cai Shuqun, Gan Zijun. 2000. The application of a three-dimensional baroclinic shelf sea model: the seasonal variation of the South China Sea upper mixed layer. Haiyang Xuebao (in Chinese), 22(3): 7-14

Carton J A, Chepurin G, Cao Xianhe, et al. 2000. A simple ocean data assimilation analysis of the global upper ocean 1950-95: Part I. Methodology. Journal of Physical Oceanography, 30(2): 294-309

Chaigneau A, Pizarro O, Rojas W. 2008. Global climatology of near-inertial current characteristics from Lagrangian observations. Geophysical Research Letters, 35(13): L13603

Chen Gengxin, Xue Huijie, Wang dongxiao, et al. 2013. Observed near-inertial kinetic energy in the northwestern South China Sea. Journal of Geophysical Research: Oceans, 118(10): 4965-4977

d'Asaro E A. 1985. The energy flux from the wind to near-inertial motions in the surface mixed layer. Journal of Physical Oceanography, 15(8): 1043-1059

Fang Guohong, Chen Haiying, Wei Zexun, et al. 2006. Trends and interannual variability of the South China Sea surface winds, surface height, and surface temperature in the recent decade. Journal of Geophysical Research: Oceans (1978-2012), 111(C11): C11S16

Furuichi N, Hibiya T, Niwa Y. 2008. Model-predicted distribution of wind-induced internal wave energy in the world's oceans. Journal of Geophysical Research: Oceans (1978-2012), 113(C9): C09034

Huang Ronghui, Zhang Renhe, Yan Bangliang. 2001. dynamical effect of the zonal wind anomalies over the tropical western Pacific on ENSO cycles. Science in China: Series d. Earth Sciences, 44(12): 1089-1098

Jiang Jing, Lu Youyu, Perrie W. 2005. Estimating the energy flux from the wind to ocean inertial motions: the sensitivity to surface wind fields. Geophysical Research Letters, 32(15): L15610

Kara A B, Rochford P A, Hurlburt H E. 2000. An optimal definition for ocean mixed layer depth. Journal of Geophysical Research: Oceans (1978-2012), 105(C7): 16803-16821

Klein P, Lapeyre G, Large W G. 2004. Wind ringing of the ocean in presence of mesoscale eddies. Geophysical Research Letters, 31(15): L15306

Large W G, Pond S. 1981. Open ocean momentum flux measurements in moderate to strong winds. Journal of Physical Oceanography, 11(3): 324-336

Liang Xinfeng, Zhang Xiaoqian, Tian Jiwei. 2005. Observation of internal tides and near-inertial motions in the upper 450 m layer of the northern South China Sea. Chinese Science Bulletin, 50(24): 2890-2895

Liu Junliang, Cai Shuqun, Wang Shengan. 2011. Observations of strong near-bottom current after the passage of Typhoon Pabuk in the South China Sea. Journal of Marine Systems, 87(1): 102-108

Liu Junliang, Cai Shuqun, Wang Shengan. 2014. diurnal wind and nonlinear interaction between inertial and tidal currents in the South China Sea during the passage of Typhoon Conson. Acta Oceanologica Sinica, 33(5): 1-7

Liu Yonggang, Weisberg R H. 2012. Seasonal variability on the West Florida Shelf. Progress in Oceanography, 104: 80-98

Milliff R F, Large W G, Morzel J, et al. 1999. Ocean general circulation model sensitivity to forcing from scatterometer winds. Journal of Geophysical Research: Oceans (1978-2012), 104(C5): 11337-11358

Munk W, Wunsch C. 1998. Abyssal recipes II: energetics of tidal and wind mixing. deep-Sea Research: Part I. Oceanographic Research Papers, 45(12): 1977-2010

Pollard R T. 1970. On the generation by winds of inertial waves in the ocean. deep Sea Research and Oceanographic Abstracts, 17(4): 795-812

Pollard R T, Millard R C Jr. 1970. Comparison between observed and simulated wind-generated inertial oscillations. deep Sea Research and Oceanographic Abstracts, 17(4): 813-821

Rimac A, Von Storch J S, Eden C, et al. 2013. The influence of high-resolution wind stress field on the power input to near-inertial motions in the ocean. Geophysical Research Letters, 40(18): 4882-4886

Simmons H L, Alford M H. 2012. Simulating the long-range swell of internal waves generated by ocean storms. Oceanography, 25(2): 30-41

Sun Lu, Zheng Quanan, Wang dongxiao, et al. 2011. A case study of near-inertial oscillation in the South China Sea using mooring observations and satellite altimeter data. Journal of Oceanography, 67(6): 677-687

Wang Yonggang, Fang Guohong, Wei Zexun, et al. 2006. Interannual variation of the South China Sea circulation and its relation to El Niño, as seen from a variable grid global ocean model. Journal of Geophysical Research: Oceans (1978-2012), 111(C11): C11S14

Watanabe M, Hibiya T. 2002. Global estimates of the wind-induced energy flux to inertial motions in the surface mixed layer. Geophysical Research Letters, 29(8): 64-1-64-3

Wu Zhaohua, Huang N E. 2004. A study of the characteristics of white noise using the empirical mode decomposition method. Proceedings of the Royal Society of London: Series A. Mathematical, Physical and Engineering Sciences, 460(2046): 1597-1611

Zhai Xiaoming, Greatbatch R J, Eden C, et al. 2009. On the loss of wind-induced near-inertial energy to turbulent mixing in the upper ocean. Journal of Physical Oceanography, 39(11): 3040-3045

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文章访问数: 1779
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南海混合层近惯性能通量的时空变化

doi: 10.1007/s13131-015-0597-8

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出版历程

The spatiotemporal variation of the wind-induced near-inertial energy flux in the mixed layer of the South China Sea

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出版历程

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