A study of response of thermocline in the South China Sea to ENSO events

Hanbang PENG; Aijun PAN; Quan'an ZHENG; Jianyu HU

doi:10.1007/s00343-018-7013-0

Your Location：

Home >

Browse articles >

A study of response of thermocline in the South China Sea to ENSO events

Physics | Updated：2023-05-19

- A study of response of thermocline in the South China Sea to ENSO events
- Chinese Journal of Oceanology and Limnology Vol. 36, Issue 4, Pages: 1166-1177(2018)
- Affiliations：
  
  1.State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
  2.Ocean Dynamics Laboratory, The Third Institute of Oceanography, State Oceanic Administration(SOA), Xiamen 361005, China
  3.Department of Atmospheric and Oceanic Science, University of Maryland, College Park 20742, USA
- Author bio：
  
  HU Jianyu, hujy@xmu.edu.cn
- Funds：
- DOI：10.1007/s00343-018-7013-0
  CLC：
- Received：14 January 2017，
  
  Accepted：12 April 2017，
  
  Online First：14 June 2017，
  
  Published：2018-07
- Accepted：
Scan QR Code
Hanbang PENG, Aijun PAN, Quan'an ZHENG, et al. A study of response of thermocline in the South China Sea to ENSO events[J]. Chinese Journal of Oceanology and Limnology, 2018, 36(4): 1166-1177.
DOI：

Hanbang PENG, Aijun PAN, Quan'an ZHENG, et al. A study of response of thermocline in the South China Sea to ENSO events[J]. Chinese Journal of Oceanology and Limnology, 2018, 36(4): 1166-1177. DOI： 10.1007/s00343-018-7013-0.

摘要

Abstract

This paper investigates the response of the thermocline depth (TD) in the South China Sea (SCS) to the El Niño-Southern Oscillation (ENSO) events using 51-year (from 1960 to 2010) monthly seawater temperature and surface wind stress data acquired from the Simple Ocean Data Assimilation (SODA)

together with heat flux data from the National Centers for Environmental Prediction (NCEP)

precipitation data from the National Oceanic and Atmospheric Administration (NOAA) and evaporation data from the Woods Hole Oceanographic Institution (WHOI). It is indicated that the response of the SCS TD to the El Niño or La Niña events is in opposite phase. On one hand

the spatial-averaged TDs in the SCS (deeper than 200 m) appear as negative and positive anomalies during the mature phase of the El Niño and La Niña events

respectively. On the other hand

from June of the El Niño year to the subsequent April

the spatial patterns of TD in the north and south of 12°N appear as negative and positive anomalies

respectively

but present positive and negative anomalies for the La Niña case. However

positive and negative TD anomalies occur almost in the entire SCS in May of the subsequent year of the El Niño and La Niña events

respectively. It is suggested that the response of the TD in the SCS to the ENSO events is mainly caused by the sea surface buoyancy flux and the wind stress curl.

关键词

Keywords

references

Carton J A, Chepurin G, Cao X H, Giese B. 2000a. A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part Ⅰ:methodology. J. Phys. Oceanogr., 30(2):294-309.

Carton J A, Chepurin G, Cao X H. 2000b. A simple ocean data assimilation analysis of the global upper ocean 1950-95.Part Ⅱ:results. J. Phys. Oceanogr., 30(2):311-326.

Carton J A, Giese B S, Grodsky S A. 2005. Sea level rise and the warming of the oceans in the Simple Ocean Data Assimilation (SODA) ocean reanalysis. J. Geophys. Res., 110(C9):C09006, https://doi.org/10.1029/2004JC002817.

Carton J A, Giese B S. 2008. A reanalysis of ocean climate using Simple Ocean Data Assimilation (SODA). Mon.Wea. Rev., 136(8):2 999-3 017.

Chen M Y, Xie P P, Janowiak J E, Arkin P A. 2002. Global land precipitation:a 50-yr monthly analysis based on gauge observations. J. Hydrometeorol., 3(3):249-266.

Chu P C, Edmons N L, Fan C W. 1999. Dynamical mechanisms for the South China Sea seasonal circulation and thermohaline variabilities. J. Phys. Oceanogr., 29(11):2 971-2 989, https://doi.org/10.1175/1520-0485(1999)029<2971:DMFTSC>2.0.CO;2.

Duan R, Yang K D, Ma Y L, Hu T. 2012. A study of the mixed layer of the South China Sea based on the multiple linear regression. Acta Oceanol. Sin., 31(6):19-31.

Fang G H, Chen H Y, Wei Z X, Wang Y G, Wang X Y, Li C Y. 2006. Trends and interannual variability of the South China Sea surface winds, surface height, and surface temperature in the recent decade. J. Geophys. Res., 111(C11):C11S16, https://doi.org/10.1029/2005JC003276.

General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. 2008. GB/T 12763. 7-2007 The specifications for oceanographic survey-Part 7: exchange of oceanographic survey data. Standards Press of China, Beijing. (in Chinese)

Giese B S, Ray S. 2011. El Niño variability in simple ocean data assimilation (SODA), 1871-2008. J. Geophys. Res., 116(C2):C02024, https://doi.org/10.1029/2010JC006695.

Gill A E. 1982. Atmosphere-Ocean Dynamics. Academic Press, San Diego, USA.

Hao J J, Chen Y L, Wang F, Lin P F. 2012. Seasonal thermocline in the China Seas and northwestern Pacific Ocean. J.Geophys. Res., 117(C2):C02022, https://doi.org/10.1029/2011JC007246.

Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds B, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo K C, Ropelewski C, Wang J, Jenne R, Joseph D. 1996. The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77(3):437-471.

Klein S A, Soden B J, Lau N C. 1999. Remote sea surface temperature variations during ENSO:evidence for a tropical atmospheric bridge. J. Climate, 12(4):917-932.

Kuo N J, Zheng Q A, Ho C R. 2004. Response of Vietnam coastal upwelling to the 1997-1998 ENSO event observed by multisensor data. Remote Sens. Environ., 89(1):106-115.

Liu Q Y, Jia Y L, Liu P H, Wang Q, Chu P C. 2001. Seasonal and intraseasonal thermocline variability in the central South China Sea. Geophys. Res. Lett., 28(23):4 467-4 470.

Liu Q Y, Wang D X, Wang X, Shu Y Q, Xie Q, Chen J. 2014.Thermal variations in the South China Sea associated with the eastern and central Pacific El Niño events and their mechanisms. J. Geophys. Res., 119(12):8 955-8 972, https://doi.org/10.1002/2014JC010429.

Lombardo C P, Gregg M C. 1989. Similarity scaling of viscous and thermal dissipation in a convecting surface boundary layer. J. Geophys. Res., 94(C5):6 273-6 284.

Lozovatsky I, Figueroa M, Roget E, Fernando H J S, Shapovalov S. 2005. Observations and scaling of the upper mixed layer in the North Atlantic. J. Geophys. Res., 110(C5):C05013, https://doi.org/10.1029/2004JC002708.

Miller A J, White W B, Cayan D R. 1997. North Pacific thermocline variations on ENSO timescales. J. Phys.Oceanogr., 27(9):2 023-2 039.

Peng H B, Pan A J, Zheng Q A, Hu J Y. 2017. Analysis of monthly variability of thermocline in the South China Sea. Chin. J. Oceanol. Limnol ., https://doi.org/10.1007/s00343-017-6151-0 https://doi.org/10.1007/s00343-017-6151-0 . (in Press)

Qiu F W, Pan A J, Zhang S W, Cha J, Sun H W. 2016. Sea surface temperature anomalies in the South China Sea during mature phase of ENSO. Chin. J. Oceanol. Limnol., 34(3):577-584.

Qu T D, Kim Y Y, Yaremchuk M, Tozuka T, Ishida A, Yamagata T. 2004. Can Luzon Strait transport play a role in conveying the impact of ENSO to the South China Sea? J.Climate, 17(18):3 644-3 657.

Schmitt R W, Bogden P S, Dorman C E. 1989. Evaporation minus precipitation and density fluxes for the North Atlantic. J. Phys. Oceanogr., 19(9):1 208-1 221.

Trenberth K E. 1997. The definition of El Niño. Bull. Amer.Meteor. Soc., 78(12):2 771-2 777.

Wang B, Wu R G, Lukas R. 1999. Roles of the western North Pacific wind variation in thermocline adjustment and ENSO phase transition. J. Meteor. Soc. Jpn. Ser. Ⅱ, 77(1):1-16.

Wang C Z, Wang W Q, Wang D X, Wang Q. 2006. Interannual variability of the South China Sea associated with El Niño. J. Geophys. Res., 111(C3):C03023, https://doi.org/10.1029/2005JC003333.

Wang C Z. 2002. Atmospheric circulation cells associated with the El Niño-Southern Oscillation. J. Climate, 15(4):399-419.

Xiong X J. 2012. China Offshore Marine Physical Oceanography and Marine Meteorology. China Ocean Press, Beijing, China. p. 309-316. (in Chinese)

Yan Y F, Qi Y Q, Zhou W. 2010. Interannual heat content variability in the South China Sea and its response to ENSO. Dyn. Atmos. Oceans, 50(3):400-414.

Yu L S, Jin X Z, Weller R A. 2008. Multidecade global flux datasets from the Objectively Analyzed Air-sea Fluxes(OAFlux) project: latent and sensible heat fluxes, ocean evaporation, and related surface meteorological variables. Woods Hole Oceanographic Institution, OAFlux Project Technical Report (OA-2008-01). Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA. 64p.

Zeng L L, Wang D X, Chen J, Wang W Q, Chen R Y. 2016.SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919-2014. Sci. Data, 3:160 029, https://doi.org/10.1038/sdata.2016.29.

Zeng L L, Wang D X. 2017. Seasonal variations in the barrier layer in the South China Sea:characteristics, mechanisms and impact of warming. Climate Dyn., 48(5-6):1 911-1 930, https://doi.org/10.1007/s00382-016-3182-8.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Analysis of monthly variability of thermocline in the South China Sea

Distinct mechanisms of marine heatwave formation in offshore waters of China

Interdecadal change in the relationship between El Niño-Southern Oscillation and Pacific interior subtropical-tropical cells

The lifespan mechanism of dipole eddies to the east of Vietnam and their intrinsic connections

A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model

Related Author

Zhibo CHEN

Ying WANG

Jiaqi WANG

Rong-Hua ZHANG

Yifan JIANG

Yu QI

Xinchi YU

Xue HAN

Related Institution

School of Marine Sciences, Nanjing University of Information Science and Technology

School of Atmospheric Sciences, Nanjing University of Information Science and Technology

Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Laoshan Laboratory

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰