DOI QR코드

DOI QR Code

Development of Algorithms for Extracting Thermocline Parameters in the South Sea of Korea

한국 남부해역의 수온약층 추출 알고리즘 개발

  • 윤동영 (한국해양과학기술원 해양과학데이터센터) ;
  • 최현우 (한국해양과학기술원 해양과학데이터센터)
  • Received : 2012.04.19
  • Accepted : 2012.06.18
  • Published : 2012.06.30

Abstract

A new algorithm was developed, not only to detect the existence of a thermocline, but also to extract the thermocline parameters (such as thermocline thickness, mixed layer thickness, maximum temperature gradient, and temperature difference of thermocline), using the vertical profile of water temperature. According to Kappa analysis, in order to find adequate threshold values of vertical water temperature gradients ${\Delta}T$ ($^{\circ}C/m$), agreement and reliability were 87% and 0.74 respectively, in the conditions of maximum ${\Delta}T{\geq}0.5$ and surface and bottom layers ${\Delta}T<{\mid}0.2{\mid}$. Also, three different kinds of methods, viz. 1. Gradient method, 2. Hyperbolic tangent method, and 3. Differential hyperbolic tangent method, were tested to extract the key parameters of a thermocline. Comparing the results of three different methods, the differential hyperbolic tangent method was the most appropriate to extract the start and end point of a thermocline curve.

Keywords

References

  1. 국립수산과학원 (2011) 정선해양관측자료. http://kodc.nfrdi.re.kr Accessed 9 Mar 2011
  2. 용호택 (2004) MATLAB을 이용한 수치해석. 두양사, 서울, 476 p
  3. 이관수 (2000) 공학도를 위한 수치해석. 원화, 서울, 722 p
  4. 지영준, 김화준, 허정권 (2000) C로 구현한 수치해석. 높이깊이, 서울, 500 p
  5. Chu PC (1995) A feature model for Arctic upper ocean thermal structure. In: Proceedings of the fourth conference on polar meteorology and oceanography, American meteorological society, Boston, Massachusetts, pp 224-227
  6. Chu PC, Fralick CR, Haeger SD, Carron MJ (1997) A parametric model for the Yellow Sea thermal variability. J Geophys Res 102(5):10499-10507 https://doi.org/10.1029/97JC00444
  7. Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 1:36-47
  8. de Boyer Montegut C, Madec G, Fischer AS, Lazar A, Iudicone D (2004) Mixed layer depth over the global ocean: an examination of profile data and a profile-based climatology. J Geophys Res 109(C12003):1-20
  9. Fleiss JL (1981) Statistical methods for rates and proportions. Wiley, 321 p
  10. Fritsch FN, Carlson RE (1980) Monotone piecewise cubic interpolation. Siam J Numer Anal 17(2):238-246 https://doi.org/10.1137/0717021
  11. Hastenrath S, Merle J (1987) Annual cycle of subsurface thermal structure in the tropical Atlantic Ocean. J Phys Oceanogr 17:1518-1538 https://doi.org/10.1175/1520-0485(1987)017<1518:ACOSTS>2.0.CO;2
  12. Kara AB, Rochford PA, Hurlburt HE (2000) An optimal definition for ocean mixed layer depth. J Geophys Res 105(C7):16803-16821 https://doi.org/10.1029/2000JC900072
  13. Lim S, Jang CJ, Oh IS, Park J (2012) Climatology of the mixed layer depth in the East/Japan Sea. J Marine Syst 96-97:1-14 https://doi.org/10.1016/j.jmarsys.2012.01.003
  14. Knauss JA (1978) Introduction to physical oceanography. Prentice Hall, Saddle River, 338 p
  15. Martin PJ (1985) Simulation of the mixed layer at OWS November and Papa with several models. J Geophys Res 90(C1):903-916 https://doi.org/10.1029/JC090iC01p00903
  16. Millero FJ, Sohn ML (1992) Chemical Oceanography. CRC Press, London, 414 p
  17. Park S, Chu PC (2007) Synoptic distributions of thermocline surface mixed layer and thermocline in the Southern Yellow and East China Seas. J Oceanogr 63:1021-1028 https://doi.org/10.1007/s10872-007-0085-7
  18. Prasad TG, Bahulayan N (1996) Mixed layer depth and thermocline climatology of the Arabian Sea and western equatorial Indian Ocean. Indian J Mar Sci 25:189-794
  19. Ross DA (1995) Introduction to oceanography. Harper Collins, New York, 496 p
  20. Shaw AGP, Vennell R (2000) A front-following algorithm for AVHRR SST image. Remote Sens Environ 27:317-327
  21. Thompson RORY (1976) Climatological numerical models of the surface mixed layer of the ocean. J Phys Oceanogr 6(4):496-503 https://doi.org/10.1175/1520-0485(1976)006<0496:CNMOTS>2.0.CO;2
  22. Zang Y, Bellingham JG, Godin M, Ryan JP, Mcewen RS, Kieft B, Hobson B, Hoover T (2010) Thermocline tracking based on peak-gradient detection by an autonomous underwater vehicle. In: Proceedings of MTS/IEEE Oceans'10, Sydney, 24-27 May, pp 1-4

Cited by

  1. Spatial Distribution Characteristics of Vertical Temperature Profile in the South Sea of Jeju, Korea vol.15, pp.4, 2012, https://doi.org/10.11108/kagis.2012.15.4.162
  2. Ichthyotoxic Cochlodinium polykrikoides red tides offshore in the South Sea, Korea in 2014: I. Temporal variations in three-dimensional distributions of red-tide organisms and environmental factors vol.32, pp.2, 2017, https://doi.org/10.4490/algae.2017.32.5.30