Journal of the Korean Society of Marine Environment & Safety (해양환경안전학회지)

The Korean Society of Marine Environment and safety (해양환경안전학회)
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Calculating Sea Surface Wind by Considering Asymmetric Typhoon Wind Field

비대칭형 태풍 특성을 고려한 해상풍 산정

  • Received : 2023.10.20
  • Accepted : 2023.12.29
  • Published : 2023.12.31
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Abstract

Sea surface wind is an important variable for elucidating the atmospheric-ocean interactions and predicting the dangerous weather conditions caused by oceans. Accurate sea surface wind data are required for making correct predictions; however, there are limited observational datasets for oceans. Therefore, this study aimed to obtain long-period high-resolution sea surface wind data. First, the ERA5 reanalysis wind field, which can be used for a long period at a high resolution, was regridded and synthesized using the asymmetric typhoon wind field calculated via the Generalized Asymmetric Holland Model of the numerical model named ADvanced CIRCulation model. The accuracy of the asymmetric typhoon synthesized wind field was evaluated using data obtained from Korea Meteorological Administration and Japan Meteorological Administration. As a result of the evaluation, it was found that the asymmetric typhoon synthetic wind field reproduce observations relatively well, compared with ERA5 reanalysis wind field and symmetric typhoon synthetic wind field calculated by the Holland model. The sea surface wind data produced in this study are expected to be useful for obtaining storm surge data and conducting frequency analysis of storm surges and sea surface winds in the future.

해상풍은 대기-해양의 상호작용을 이해하는데 중요한 요소일 뿐만 아니라, 해양에서 기인하는 위험기상을 예측하는데 중요한 입력자료이다. 정확한 예측을 위해서는 정확한 해상풍 자료가 요구되지만, 육상과 달리 해상은 관측이 제한적이기 때문에 관측 자료가 많지 않은 실정이다. 따라서 본 연구에서는 장기간의 고해상도 해상풍 자료 구축을 목표로 하였다. 먼저 장기간에 대해 활용 가능한 ERA5 재분석 바람장을 고해상도로 재격자화 하였고, 재격자화 한 ERA5 바람장을 수치모형 ADCIRC (ADvanced CIRCulation model)의 GAHM(Generalized Asymmetric Holland Model)을 이용하여 산출한 비대칭형 태풍 바람장과 합성하였다. 산출된 비대칭형 태풍 합성 바람장은 기상청 (Korea Meteorological Administration, KMA) 및 일본 기상청 (Japan Meteorological Administration, JMA) 관측자료를 이용하여 정확도를 평가하였다. 평가결과, ERA5 바람장 및 Holland 식을 이용하여 산출한 대칭형 태풍 합성 바람장보다 비대칭형 태풍 합성 바람장이 관측값을 매우 유사하게 재현하는 것으로 나타났다. 본 연구에서 생산한 해상풍 자료는 향후 폭풍해일 후측 자료 구축, 폭풍해일고 빈도 분석, 해상풍 빈도 분석 등 다양한 연구의 기초자료로 유용하게 활용될 것으로 기대된다.

Keywords

Acknowledgement

본 연구는 2023년도 해양수산부 재원으로 해양수산과학기술진흥원의 지원(과제 번호 : 20220180, 2022년도 해양 기후변화 진단 및 장기전망 연구사업, 월파 정량 관측 기술 개발)을 받아 수행되었습니다.

References

  1. Banzon, V. F., R. W. Reynolds, and T. M. Smith(2010), The role of satellite data in extended reconstruction of sea surface temperatures, Proceedings: "Oceans from Space" Venice, 2010, 27-28. 
  2. Cairns, M. M. and J. Corey(2003), Mesoscale model simulations of high-wind events in the complex terrain of Western Nevada, Weather and Forecasting, Vol. 18, pp. 249-263.  https://doi.org/10.1175/1520-0434(2003)018<0249:MMSOHE>2.0.CO;2
  3. De Rooy, W. and K. Kok(2004), A combined physical statistical approach for the downscaling of model wind speed, Weather Forecasting, Vol. 19, No. 3, pp. 485-495.  https://doi.org/10.1175/1520-0434(2004)019<0485:ACPAFT>2.0.CO;2
  4. Gao, J., R. Luettich, and J. Fleming(2013), Development and initial evaluation of a generalized asymmetric tropical cyclone vortex model in ADCIRC, Proceedings of the ADCIRC Users Group Meeting, Vicksburg, MS, USA, Vol. 16. 
  5. Graf, J. E., W. Y. Tsi, and L. Jones(1998), Overview of QuikSCAT mission-a quick deployment of a high resolution, wide swath scanning scatterometer for ocean wind measurement, Proceedings IEEE Southeastcon '98' Engineering for a New Era', pp. 314-317. 
  6. Ha, K. J., H. M. Oh, and J. S. Shim(2007), Meteorological Application of Observational Data at Ieodo Ocean Science Platform, The 1st Proceedings of Ieodo Research, pp. 79-84. 
  7. Heo, K. Y., J. W. Lee, K. C. Jun, K. S. Park, and K. J. Ha(2008), Model Optimization for Sea Surface Wind Simulation of Strong Wind Cases, Journal of Korean Earth Science Society, Vol. 29, No. 3, pp. 263-279.  https://doi.org/10.5467/JKESS.2008.29.3.263
  8. Hersbach, H. and Coauthors(2020), The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, Vol. 146, pp. 1999-2049.  https://doi.org/10.1002/qj.3803
  9. Holland, G. J.(1980), An analytic model of the wind and pressure profiles in hurricanes, Monthly Weather Review, Vol. 108, pp. 1212-1218.  https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2
  10. Jeong, J. Y., J. S. Shim, D. K. Lee, I. K. Min, and J. I. Kwon(2008), Validation of QuikSCAT wind with resolution of 12.5 km in the vicinity of Korean Peninsula, Ocean Polar Research, Vol. 30, No. 1, pp. 47-58.  https://doi.org/10.4217/OPR.2008.30.1.047
  11. Kim, H. G., B. Y. Kim, Y. H. Kang, and Y. C. Ha(2021), Estimation of Reference Wind Speeds in Offshore of the Korean Peninsula Using Reanalysis Data Sets, New and Renewable Energy, Vol. 17, No. 4, pp. 1-8.  https://doi.org/10.7849/ksnre.2021.0022
  12. Kim, J. Y., K. Y. Oh, and J. S. Lee(2012), An estimation of extreme wind speed according to return periods of demonstration offshore wind farm in the southern part of west sea, Wind Energy, Vol. 3, No. 1, pp. 10-18. 
  13. Knaff, J. A. and B. Harper(2010), KN1: Tropical cyclone surface wind structure and wind-pressure relationships, 7th International Workshop on tropical cyclones, p. 79. 
  14. Ko, D. H., S. T. Jeong, H. Y. Cho, and K. S. Kang(2014), Extreme offshore wind estimation using typhoon simulation, Journal of Korean Society of Coastal and Ocean Engineers, Vol. 26, No. 1, pp. 16-24.  https://doi.org/10.9765/KSCOE.2014.26.1.16
  15. Korea Meteorological Administration(2011), Typhoon white book (in Korean). 
  16. Kwon, K. K., M. H. Jho, K. H. Ryu, and S. B. Yoon(2020), Analysis of Reliability of Weather Fields for Typhoon Sanba (1216), Journal of Korean Society of Coastal and Ocean Engineers, Vol. 32, No. 6, pp. 465-480.  https://doi.org/10.9765/KSCOE.2020.32.6.465
  17. Kwon, S. D. and J. H. Lee(2008), Estimation of extreme wind speeds in southern and western coasts by typhoon simulation, Journal of Korean Society of Coastal and Ocean Engineers, Vol. 28, No. 4A, pp. 431-438. 
  18. Lee, S. L. and S. W. Kim(2013), Estimation of basic wind speed at bridge construction site based on short-term measurements, Journal of Civil and Environmental Engineering Research, Vol. 33, No. 4, pp. 1271-1279.  https://doi.org/10.12652/Ksce.2013.33.4.1271
  19. Lee, S. S. and G. Y. Kim(2016), Estimation of extreme wind speeds in Korean Peninsula using typhoon monte carlo simulation, Journal of the Computational Structural Engineering Institute of Korea, Vol. 29, No. 2, pp. 141-148.  https://doi.org/10.7734/COSEIK.2016.29.2.141
  20. Luettich, R. A., J. J. Westerink, and N. W. Scheffner(1992), ADCIRC : an advanced three-dimensional circulation model for shelves coasts and esturies. report 1 : Theory and methology of ADCIRC-2DDI and ADCIRC-3DL, Dredging Research Program Technical Report DRP-92-6, U.S. Army Corps of Engineers Waterways Experiment Station, Vicksburg, MS. 
  21. Oh, H. M. and K. J. Ha(2005), Analysis of marine meteorological characteristics at Ieodo ocean research station from 2003 to 2004, Atmosphere, Vol. 41, pp. 671-680. 
  22. Seo, H. S., N. H. Kyong, and H. G. Kim(2010), Analysis on wind characteristics for offshore wind turbine structure design at Waljeong, Jejudo, Journal of the Wind Engineering Institute of Korea, Vol. 14, No. 3, pp. 161-167. 
  23. Stull, R. B.(1988), An introduction to boundary layer meteorology, Kluwer Academic, Dordrecht, p. 670. 
  24. Suh, S. W. and H. J. Kim(2012), Typhoon surge simulation on the west coast incorporating asymmetric vortex and wave model on a fine finite element grid, Journal of Korean Society of Coastal and Ocean Engineers, Vol. 24, No. 3, pp. 166-178.  https://doi.org/10.9765/KSCOE.2012.24.3.166
  25. Willoughby, H. E. and M. E. Rahn(2004), Parametric representation of the primary hurricane vortex. Part I: Observations and evaluation of the Holland (1980) model. Mon, Weather Review, Vol. 132, pp. 3033-3048.  https://doi.org/10.1175/MWR2831.1
  26. Xie, S. P., C. Deser, G. A. Vecchi, J. Ma, H. Teng, and A. T. Wittenberg(2010), Global warming pattern formation: Sea surface temperature and rainfall, Journal of Climate, Vol.23, No. 4, pp. 966-986.  https://doi.org/10.1175/2009JCLI3329.1
  27. Yoon, S. B., W. M. Jeong, M. H. Jho, and K. H. Ryu(2020), Analysis of Reliability of Weather Fields for Typhoon Maemi (0314), Journal of Korean Society of Coastal and Ocean Engineers, Vol. 32, No. 5, pp. 351-362.  https://doi.org/10.9765/KSCOE.2020.32.5.351
  28. You, S. H., J. G. Cho, and J. W. Seo(2007), Comparison of KMA Operational Model RDAPS with QuikSCAT Sea Surface Wind Data, Journal of Korean Society of Coastal and Ocean Engineers, Vol. 19, No. 5, pp. 467-475.