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예측 모델 및 파라미터 모델을 이용한 파랑 및 폭풍해일 예측 개선방안 연구: 태풍 차바 사례

A Study on the Improvement of Wave and Storm Surge Predictions Using a Forecasting Model and Parametric Model: a Case Study on Typhoon Chaba

  • 육진희 (한국과학기술정보연구원) ;
  • 조민수 (한국과학기술정보연구원)
  • Jin-Hee Yuk (Korea Institute of Science and Technology Information) ;
  • Minsu Joh (Korea Institute of Science and Technology Information)
  • 투고 : 2023.07.10
  • 심사 : 2023.08.02
  • 발행 : 2023.08.31

초록

열대성 저기압으로 인한 높은 파도와 폭풍해일은 해안지역에 큰 피해를 준다. 따라서 태풍이 내습하기 전에 정확하게 예측해야 하는데, 기상 강제력은 예측에 중요한 요소이다. 본 연구는 정확한 폭풍해일 및 파랑예측에 요구되는 기상 강제력을 위한 개선방안을 제시한다. 2016년 남해안을 강타한 태풍 차바를 사례연구로 하여, 기상예측모델(MPAS)로 태풍 트랙 및 기상 강제력, 즉, 기상장을 예측했다. 예측된 MPAS 태풍 트랙 정보를 기반으로 한 태풍의 대칭형 및 비대칭형 파라미터 와류 모델을 이용하여 기상 강제력을 생성하는 한편, 베스트 트랙 기반 동일 한 파라미터 모델을 이용하여 기상 강제력을 생성하여, 둘을 비교했다. 또한, MPAS 예측 태풍 트랙 정보 기반 대칭형/비대칭형 와류 파라미터 모델에서 생성된 기상장은 MPAS에서 예측한 기상장과 블렌딩하여 예측기상장을 만들었다. 이렇게 제작된 MPAS 기반 forecast 기상장 4종 및 베스트 트랙 기반 hindcast 기상장 2종을 ADCIRC+SWAN ADCIRC+SWAN에 입력하여 남해안의 파랑 및 폭풍해일을 예측/재현하고 관측치와 비교·검증했다. MPAS 기반 forecast 기상장을 이용하여 예측된 폭풍해일과 파랑은 관측치와 거의 일치했으며, 베스트 트랙을 사용하여 재현한 결과와도 견줄 만했다. 유의파고는, 6종의 기상장을 이용한 실험에서 MPAS 예측 태풍 트랙 기반 대칭형 와류 파라미터 모델로 생성된 기상장과 MPAS 예측 기상장을 블렌딩한 실험이 예측 정확도가 높았으나, 비대칭형 와류 파라미터 모델과 블렌딩을 사용한 경우보다 약간 높은 정도였다. 폭풍해일은, MPAS 예측 태풍 트랙을 이용한 비대칭형 와류 파라미터 모델에서 생성된 기상장을 이용한 실험이 예측 정확도가 높았다. 폭풍해일과 파랑을 정확하게 예측하기 위해서는, 정확한 태풍 트랙 정보와 이 정보가 반영된 비대칭형 와류가 고려된 기상장, 이 태풍 트랙을 생산한 기상장이 필요한 것을 볼 수 있다.

High waves and storm surges due to tropical cyclones cause great damage in coastal areas; therefore, accurately predicting storm surges and high waves before a typhoon strike is crucial. Meteorological forcing is an important factor for predicting these catastrophic events. This study presents an improved methodology for determining accurate meteorological forcing. Typhoon Chaba, which caused serious damage to the south coast of South Korea in 2016, was selected as a case study. In this study, symmetric and asymmetric parametric vortex models based on the typhoon track forecasted by the Model for Prediction Across Scales (MPAS) were used to create meteorological forcing and were compared with those models based on the best track. The meteorological fields were also created by blending the meteorological field from the symmetric / asymmetric parametric vortex models based on the MPAS-forecasted typhoon track and the meteorological field generated by the forecasting model (MPAS). This meteorological forcing data was then used given to two-way coupled tide-surge-wave models: Advanced CIRCulation (ADCIRC) and Simulating Waves Nearshore (SWAN). The modeled storm surges and waves correlated well with the observations and were comparable to those predicted using the best track. Based on our analysis, we propose using the parametric model with the MPAS-forecasted track, the meteorological field from the same forecasting model, and blending them to improve storm surge and wave prediction.

키워드

과제정보

This study was supported by the institutional R&D program of the Korea Institute of Science and Technology Information (KISTI) (K-23-L02-C04). All the simulations were carried out using NURION the supercomputer of KISTI.

참고문헌

  1. Booij, N., Ris, R.C. and Holthuijsen, L.H. (1999). A third generation wave model for coastal regions. J. Geophys. Res., 104(C4), 7649-7666. https://doi.org/10.1029/98JC02622
  2. Choi, B.H., Min, B.I., Kim, K.O. and Yuk, J.-H. (2013). Wave-tidesurge coupled simulation for Typhoon Maemi. China Ocean Eng., 27(2), 141-158. https://doi.org/10.1007/s13344-013-0013-0
  3. Choi, B.H., Kim, K.O., Yuk, J.-H. and Lee, H.S. (2018). Simulation of the 1953 storm surge in the North Sea. Ocean Dyn., 68, 1759-1777. https://doi.org/10.1007/s10236-018-1223-z
  4. Dietrich, J.C., Bunya, S., Westerink, J.J., Ebersole, B.A., Smith, J.M., Atkinson, J.H., Jensen, R., Resio, D.T., Luettich, R.A., Dawson, C., Cardone, V.J., Cox, A.T., Powell, M.D., Westerink, H.J. and Roberts, H.J. (2010). A high-resolution coupled riverine flow, tide, wind, wind wave, and storm surge model for southern Louisiana and Mississippi. Part II: Synoptic description and analysis of hurricanes Katrina and Rita. Monthly Weather Review, 138, 378-404. https://doi.org/10.1175/2009MWR2907.1
  5. Egbert, G.D. and Ray, R.D. (2003). Semi-diurnal and diurnal tidal dissipation from TOPEXP/OSEIDON altimetry. Geophysical Research Letters, 30(17), 1907.
  6. Gao, J., Luettich, R. and Fleming, J. (2013). Development and Initial Evaluation of a Generalized Asymmetric Tropical Cyclone Vortex Model in ADCIRC. ADCIRC users group meeting, US Army Corps of Engineers, Vicksburg, MS, USA.
  7. Holland, G.J. (1980). An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review, 108(8), 1212-1218. https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2
  8. Kang, J.-S., Yuk, J.-H. and Joh, M. (2017). Performance of KMPAS on typhoon track prediction with variable resolution grids focusing on Western Pacific Basin. Journal of Supercomputing Information, 5(2), 5-11.
  9. Kawaguchi, K. and Kawai, H. (2007). Estimation of wind and wave during typhoon based on mesoscale model. Technical Note of the Port and Airport Research Institute No. 1169.
  10. Kerr, P.C., Donahue, A.S., Westerink, J.J., Luettich, R.A., Zheng, L.Y., Weisberg, R.H., Huang, Y., Wang, H.V., Teng, Y., Forrest, D.R. et al. (2013). U.S. IOOS coastal and ocean modeling testbed: Inter-model evaluation of tides, waves, and hurricane surge in the Gulf of Mexico. J. Geophys. Res. Ocean, 118, 5129-5172. https://doi.org/10.1002/jgrc.20376
  11. Kim, Y., Kim, T. and Yoon, J. (2020). Study on storm surge using parametric model with geographical characteristics. Water, 12, 2251.
  12. Longuet-Higgins, M.S. and Stewart, R.W. (1964). Radiation stresses in water waves; physical discussions, with applications. Deep Sea Research and Oceanographic Abstracts, 11(4), 529-562. https://doi.org/10.1016/0011-7471(64)90001-4
  13. Luettich, R. and Westerink, J. (2004). Formulation and numerical implementation of the 2D/3D ADCIRC. Finite element model version 44. XX.
  14. Luettich, R. et al. (2018). ADCIRC users manual version 53. https://adcirc.org/home/documentation/users-manual-v53.
  15. Musinguzi, A., Akbar, M.K., Fleming, J.G. and Hargrove, S.K. (2019). Understanding hurricane storm surge generation and propagation using a forecasting model, forecast advisories and best track in a wind model, and observed data-Case study Hurricane Rita. J. Mar. Sci. Eng., 7, 77.
  16. Park, S.-H., Klemp, J.B. and Skamarock, W.C. (2014). A comparison of mesh refinement in the global MPAS-A and WRF models using an idealized normal-mode baroclinic wave simulation. Monthly Weather Review, 142, 3614-3634. https://doi.org/10.1175/MWR-D-14-00004.1
  17. Ris, R.C., Holthuijsen, L.H. and Booij, N. (1999). A third-generation wave model for coastal regions: 2. Verification. J. Geophys. Res. Ocean, 104, 7667-7681. https://doi.org/10.1029/1998JC900123
  18. Skamarock, W.C., Klemp, J.B., Duda, M.G., Fowler, L.D. and Park, S.-H. (2012). A multiscale nonhydrostatic atmospheric model using centroidal voronoi tessellations and C-grid staggering. Monthly Weather Review, 140, 3090-3105. https://doi.org/10.1175/MWR-D-11-00215.1
  19. Skamarock, W.C., Park, S.-H., Klemp, J.B. and Snyder, C. (2014) Atmospheric kinetic energy spectra from global high-resolution nonhydrostatic simulations. J. Atmos. Sci., 71, 4369-4381. https://doi.org/10.1175/JAS-D-14-0114.1
  20. Tanemoto, J. and Ishihara, T. (2013). Prediction of tropical cyclone induced wind field by using mesoscale model and JMA best track. The 8th Asia-Pacific Conference on Wind Engineering, 1362-1370, Chennai, India.
  21. Xie, D., Zou, Q. and Cannon, J.W. (2016). Application of SWAN+ADCIRC to tide-surge and wave simulation in Gulf of Maine during Patriot's Day storm. Water Sci. Eng., 9, 33-41. https://doi.org/10.1016/j.wse.2016.02.003
  22. Yuk, J.-H., Kim, K.O. and Choi, B.H. (2015). The simulation of a storm surge and wave due to typhoon Sarah using an integrally coupled tide-surge-wave model of the Yellow and East China Seas. Ocean Sci. J., 50, 683-699. https://doi.org/10.1007/s12601-015-0062-9
  23. Yuk, J.-H. and Joh, M. (2019). Prediction of typhoon-induced storm surge, waves and coastal inundation in the Suyeong River Area, South Korea: A case study during typhoon Chaba. J. Coast. Res., 91(SI), 156-160.  https://doi.org/10.2112/SI91-032.1