The Characteristics in the Simulation of High-resolution Coastal Weather Using the WRF and SWAN Models

WRF-SWAN모델을 이용한 상세 연안기상 모의 특성 분석

Son, Goeun;Jeong, Ju-Hee;Kim, Hyunsu;Kim, Yoo-Keun

  • Received : 2013.12.02
  • Accepted : 2013.12.19
  • Published : 2014.03.31


In this study, the characteristics in the simulation of high-resolution coastal weather, i.e. sea surface wind (SSW) and significant wave height (SWH), were studied in a southeastern coastal region of Korea using the WRF and SWAN models. This analyses was performed based on the effects of various input factors in the WRF and SWAN model during M-Case (moderate days with average 1.8 m SWH and $8.4ms^{-1}$ SSW) and R-Case (rough days with average 3.4 m SWH and $13.0ms^{-1}$ SSW) according to the strength of SSW and SWH. The effects of topography (TP), land cover (LC), and sea surface temperature (SST) for the simulation of SSW with the WRF model were somewhat high on v-component winds along the coastline and the adjacent sea of a more detailed grid simulation (333 m) during R-Case. The LC effect was apparent in all grid simulations during both cases regardless of the strength of SSW, whereas the TP effect had shown a difference (decrease or increase) of wind speed according to the strength of SSW (M-Case or R-Case). In addition, the effects of monthly mean currents (CR) and deepwater design waves (DW) for the simulation of SWH with the SWAN model predicted good agreement with observed SWH during R-Case compared to the M-Case. For example, the effects of CR and DW contributed to the increase of SWH during R-Case regardless of grid resolution, whereas the differences (decrease or increase) of SWH occurred according to each effect (CR or DW) during M-Case.


Coastal weather;Sea surface wind;Significant wave height;High-resolution;WRF;SWAN;Land cover;Topography;SST;Current;Deepwater design wave


  1. Ahn, J. B., Jeong, C. H., 1984, The Limited Area Energy Budget Associated with an Extratropical Cyclone Developed over the Japan Sea, J. Korean Meteor. Soc., 20, 22-34.
  2. Anthes, R. A., Kuo, Y. H., Gyakum, J. R., 1983, Numerical simulation of a case of explosive marine cyclogenesis, Mon. Wea. Rev., 111, 1174-1188.<1174:NSOACO>2.0.CO;2
  3. Bae, J. H., Kim, Y., K., Oh, I., B., Jeong, J. H., Swon, J. H., Seo, J. W., , 2005, improvements in the simulation of sea surface wind over the complex coastal area- 1: Assessment of current operational model. Journal of the Korean environment society, 14(7), 657-667.
  4. Heo K.Y., Lee J. W.,, Ha K. J., Jun K. C., Park, K. S., 2008, Model Optimization for Sea Surface Wind Simulation of Strong Wind Cases, Jour. Korean Earth Science Society, 29(3), 263-279.
  5. Hermann, A. J., Haidvogel, D. B., Dobbins, E. L., Stabeno, P. J., 2002, Coupling global and regional circulation models in the coastal Gulf of Alaska. Progress in Oceanography, 53, 335-367.
  6. Hsueh, Y., Romea, R. D., 1983, Wintertime winds and coastal sea-level fluctuations in the northeast China Sea. Part I: Observations. Journal of Physical Oceanography, 13(11), 2091-2106.<2091:WWACSL>2.0.CO;2
  7. Jeong J. H., 2008, A study on the characeteristics of wave propagation in the wave-wind field, Department of Ocean Engineering, Graduate School, Pukyong National University.
  8. Jeong, J. H., Kim, Y. K., 2009, The Application of High-resolution Land Cover and Its Effects on Near-surface Meteorological Fields in Two Different Coastal Areas, Journal of Korean Society for Atmospheric Environment, 25(5), 432-449.
  9. Kang, S. H., Ahn, S. J., Dom, G. M., Cho, H. S., 2009, Design Wave Transformation in Finite Depth due to Wave-Current Interaction. Journal of Korean Society of Coastal and Ocean Engineers, 21(4), 308-315.
  10. Kim, K. M., Kang, I. S., 1992, The sea surface wind model and its dynamics, Journal of Meteorological society, 28(1), 1-8.
  11. Kang, S. W., Kim, C. S., Choi, J. K., 1984, Wave hindcast with the DSA-5 model in the seas adjacent to Korea, bulletin of KORDI, 6, 37-47.
  12. Kim, J. J., Kim, N. H., 2005, A study on the characteristics of wave transformation in the vincinity of Ulsan new port by using the DELFT-3D, Journal of navigation and port research, 29(3), 257-262.
  13. Kim, K, M., Nam K. D., Lee, J. W., 2011, Analysis on Field Applicability of SWAN Nested Model . Journal of Navigations and Port Research,, 35(1), 45-49.
  14. Kim, T. H., Chang, Y. S., Pang, I. C., 2005, Distribution of Wind Waves in the Gyeonggi Bay Derived from Numerical Wave Model, Journal of Meteorological society, 41(5), 697-706.
  15. Kim, Y. K., Jeong, J. H., Bae, J. H., Oh, I. B., Kweon, J. H., Seo, J. W., 2006, Improvement in the simulation of sea surface wind over the complex coastal area using WRF model, Journal of atmospheric environment, 22(3), 309-323.
  16. Kim, Y. K., Jeong, J. H., Bae, J. H., Song, S. K., Seo, J. W., 2005, Layer schemes suitable for simulation of sea surface wind in the southeastern coastal area, Korea, Journal of the environmental sciences, 14(11), 1015-1026.
  17. Lee, Y. H., Ahn, K. D., Chang, D. E., Cho, C. H., 2005, Analysis of the Effect of Sea Surface Roughness Length on the Air-Sea Interaction Using Coupled WRF-WW3 Model, J. Korean Meteor. Soc., 41(6), 861-875.
  18. Luo, W., Monbaliu, J., Berlamont, J., 1994, Equivalent dissipation coefficients for different bottom friction dissipation models in depth limited wind generated waves, Proc. of int. Symp. Waves - Phys. and Num. Modelling, Canada, 743-752.
  19. Marsden, R. F., 1987, A comparison between geostrophic and directly measured surface winds over the Northeast Pacific Ocean, Atmos. Ocean, 25, 387-401.
  20. Moon, I. J., Oh, I. S., Lee, D. E., Youn, Y. H., Chung, S. K., Cho, J. Y., 1998, Application of the Third Generation Wave Prediction Model WAM to the Seas around Korea, J. Korean Meteor. Soc., 34(3), 446-455.
  21. Na, J. Y., Paeng, D. G., 1992, Influences of the Sea Surface Wind on Current and Thermal Structures in the Southwestern Part of the East Sea of Korea, Journal of Fisheries and aquatic science, 25(1), 15-28.
  22. Skamarock W. C., Klemp, J., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W., Powers, J. G., 2008, A description of the Advanced Research WRF version 3. NCAR Technical Note, NCAR/TN-468+STR. Mesoscale and Micro scale Meteorology Division, National Center for Atmospheric Research, Boulder, Colorado, USA.
  23. Park, J. S., Kang, K. R., 2012, Sensitivity Analysis of Global Wind-Wave Model, International Journal of Ocean Engineering and Technology, 24(5), 333-342.
  24. Perlin, N., Skyllingstad, E., Samelson, R., Barbour, P., 2007, Numerical simulation of air-sea coupling during coastal upwelling. Journal of Physical Oceanography, 37, 2081-2093.
  25. Seo, B. K., Byon, J. Y., Choi, Y. J., 2010, Sensitivity Evaluation of Wind Fields in Surface Layer by WRF-PBL and LSM Parameterizations, J. Korean Meteor. Soc., 20(3), 319-332.
  26. Yoon, H. K., Kim, S. Y., Kim, J. H., Kim, Y. S., Hong, S. Y., 2006, A Review and Analysis on the Interim Guidelines for Alternative Assessment of the Weather Criterion by Drifting and Motion Test in Waves, Journal of the Society of Naval Architects of Korea, 43(5), 529-537.
  27. You, S. H., Park, J. S., 2010, Research on Wind Waves Characteristics by Comparison of Regional Wind Wave Prediction System and Ocean Buoy Data, Journal of Ocean Engineering and Technology, 24(6), 7-15.
  28. You, S. H., Seo, J. W., Chang, Y. S., Park, S. W., Youn, Y. H., 2006, Comparison of Wave Model with KMA Buoy Observation Results in the 2002 - 2005 year, Atmosphere, 16(4), 279-301.


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