DOI QR코드

DOI QR Code

한반도 연안 위성합성 및 수치모델 재분석 해수면온도 자료의 정확도

The Accuracy of Satellite-composite GHRSST and Model-reanalysis Sea Surface Temperature Data at the Seas Adjacent to the Korean Peninsula

  • 백유현 (제주대학교 태풍연구센터) ;
  • 문일주 (제주대학교 태풍연구센터)
  • Baek, You-Hyun (Typhoon Research Center, Jeju National University) ;
  • Moon, Il-Ju (Typhoon Research Center, Jeju National University)
  • 투고 : 2019.06.17
  • 심사 : 2019.11.18
  • 발행 : 2019.12.30

초록

This study evaluates the accuracy of four satellite-composite (OSTIA, AVHRR, G1SST, FNMONC-S) and three model-reanalysis (HYCOM, JCOPE2, FNMOC-M) daily sea surface temperature (SST) data around the Korean Peninsula (KP) using ocean buoy data from 2011-2016. The results reveal that OSTIA has the lowest root mean square error (RMSE; 0.68℃) and FNMOC-S/M has the highest correction coefficients (r = 0.993) compared with observations, while G1SST, JCOPE2, and AVHRR have relatively larger RMSEs and smaller correlations. The large RMSEs were found in the western coastal regions of the KP where water depth is shallow and tides are strong, such as Chilbaldo and Deokjeokdo, while low RMSEs were found in the East Sea and open oceans where water depth is relatively deep such as Donghae, Ulleungdo, and Marado. We found that the main sources of the large RMSEs, sometimes reaching up to 5℃, in SST data around the KP, can be attributed to rapid SST changes during events of strong tidal mixing, upwelling, and typhoon-induced mixing. The errors in the background SST fields which are used in data assimilations and satellite composites and the missing in-situ observations are also potential sources of large SST errors. These results suggest that both satellite and reanalysis SST data, which are believed to be true observation-based data, sometimes, can have significant inherent errors in specific regions around the KP and thus the use of such SST products should proceed with caution particularly when the aforementioned events occur.

키워드

참고문헌

  1. Chassignet EP, Hurlburt HE, Smedstad OM, Halliwell GR, Hogan PJ, Wallcraft AJ, Baraille R, Bleck R (2007) The HYCOM (Hybrid Coordinate Ocean Model) data assimilative system. J Mar Syst 65:60-83 https://doi.org/10.1016/j.jmarsys.2005.09.016
  2. Cummings JA (2011) Ocean data quality control. In: Schiller A, Brassington GB (eds) Operational oceanography in the 21st century. Springer, Dordrecht, pp 91-121
  3. Donlon CJ, Minnett PJ, Gentemann C, Nightingale TJ, Barton IJ, Ward B, Murray MJ (2002) Toward improved validation of satellite sea surface skin temperature measurements for climate research. J Climate 15:353-369 https://doi.org/10.1175/1520-0442(2002)015<0353:TIVOSS>2.0.CO;2
  4. Gentemann CL, Wentz FJ, Mears CA, Smith DK (2004) In situ validation of tropical rainfall measuring mission microwave sea surface temperatures. J Geophys Res 109(C4):C04021. doi:10.1029/2003JC002092
  5. Jeong Y-Y, Moon I-J, Kim S-H (2013) A study on upper ocean response to typhoon Ewiniar (0603) and its impact. Atmosphere 23:205-220 https://doi.org/10.14191/Atmos.2013.23.2.205
  6. Kim S-D, Choi S-H, Park J-Y, Park S-Y (2015) Data standardization for research ocean-data management and standard proposal of physical oceanographic data. Ocean Polar Res 37(4):249-263 https://doi.org/10.4217/OPR.2015.37.4.249
  7. Kim H-Y (2017) Characteristics of sea surface temperature errors in the seas around Korea using GCOM-W1/AMSR2. M.S. Thesis, Seoul National University, 41 p
  8. Ko E-B, Moon I-J, Jeong Y-Y, Chang P-H (2018) A comparison of accuracy of the ocean thermal environments using the daily analysis data of the KMA NEMO/NEMOVAR and the US Navy HYCOM/NCODA. Atmosphere 28:1-14 https://doi.org/10.14191/Atmos.2018.28.1.001
  9. Korea Meteorological Administration (2013) Guidelines for marine meteorological observations. Korea Meteorological Administration, Seoul, 100 p
  10. Lin I, Liu WT, Wu CC, Wong GT, Hu C, Chen Z, Liu KK (2003) New evidence for enhanced ocean primary production triggered by tropical cyclone. Geophys Res Lett 30(51):1-4
  11. Martin M, Dash P, Alexander I, Banzon V, Beggs H, Brasnett B, Cayula J-F, Cummings J, Donlon C, Gentemann C, Grumbine R, Ishizaki S, Maturi E, Reynolds RW, Roberts-Jonesa J (2012) Group for high resolution SST (GHRSST) analysis fields inter-comparisons Part 1. A GHRSST multiproduct ensemble (GMPE). Deep-Sea Res Part II 77:21-30 https://doi.org/10.1016/j.dsr2.2012.04.013
  12. Miyazawa Y, Yamagata T (2003) The JCOPE ocean forecast system. In: First ARGO Science Workshop, Tokyo, 12-14 Nov 2003
  13. Moon I-J, Oh IS, Murty T, Yoon YH (2003) A study on the cause of the unusual coastal flooding generated by typhoon Winnie along the western coast of Korea. Nat Hazards 29(3):485-500 https://doi.org/10.1023/A:1024798718572
  14. Moon I-J, Kwon SJ (2012) Impact of upper-ocean thermal structure on the intensity of Korean peninsular landfall typhoons. Prog Oceanogr 105:61-66 https://doi.org/10.1016/j.pocean.2012.04.008
  15. National Institute of Fisheries Science (2013) News flash for abnormal sea conditions: Alert on abnormal cold water near Homigot. https://www.nifs.go.kr/bbs?id=seastate&flag=pre&boardIdx=342&view_gubn=cms&viewChk=Accessed 13 Mar 2019
  16. Park K-A, Sakaida F, Kawamura H (2008) Oceanic skinbulk temperature differece through the comparison of satellite-observed sea surface temperature and in-situ measurements. J Kor Remote sensing 24(4):273-287
  17. Reynolds RW, Rayner, NA, Smith TM, Stokes DC, Wang W (2002) An improved in situ and satellite SST analysis for climate. J Climate 15(13):1609-1625 https://doi.org/10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2
  18. Reynolds RW, Zhang HM, Smith TM, Gentemann CL, Wentz F (2005) Impacts of in situ and additional satellite data on the accuracy of a sea surface temperature analysis for climate. Int J Climatol 25:857-864 https://doi.org/10.1002/joc.1168
  19. Reynolds RW, Smith TM, Liu C, Chelton DB, Casey KS, Schlax MG (2007) Daily high-resolution-blended analyses for sea surface temperature. J Climate 20:5473-5496 https://doi.org/10.1175/2007JCLI1824.1
  20. Reynolds RW, Chelton DB (2010) Comparisons of daily sea surface temperature analyses for 2007-08. J Climate 23(13):3545-3562 https://doi.org/10.1175/2010JCLI3294.1
  21. Ricciardulli L, Wentz FJ (2004) Uncertainties in sea surface temperature retrievals from space: Comparison of microwave and infrared observations from TRMM. J Geophys Res 109(C12):C12013. doi:10.1029/2003JC002247
  22. Seung YH, Chung JH, Park YC (1990) Oceanographic studies related to the tidal front in the mid-Yellow Sea off Korea: physical aspects. J Korean Soc Oceanogr 25(2):84-95
  23. Shang S, Li L, Sun F, Wu J, Hu C, Chen D, Shang S (2008) Changes of temperature and bio-optical properties in the South China Sea in response to Typhoon Lingling. 2001. Geophys Res Lett 35(10):L10602. doi:10.1029/2008GL033502
  24. Shay LK, Black PG, Mariano AJ, Hawkins JD, Elsberry RL (1992) Upper ocean response to Hurricane Gilbert. J Geophys Res 97:227-247
  25. Stammer D, Wentz F, Gentemann C (2003) Validation of microwave sea surface temperature measurements for climate purposes. J Climate 16(1):73-87 https://doi.org/10.1175/1520-0442(2003)016<0073:VOMSST>2.0.CO;2
  26. Stark JD, Donlon CJ, Martin MJ, McCulloch ME (2007) OSTIA: An operational, high resolution, real time, global sea surface temperature analysis system. In: Oceans 2007 - Europe, Aberdeen, 18-21 Jun 2007
  27. Xie J, Zhu J, Li Y (2008) Assessment and inter-comparison of five high-resolution sea surface temperature products in the shelf and coastal seas around China. Cont Shelf Res 28:1286-1293 https://doi.org/10.1016/j.csr.2008.02.020