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Simulation of Typhoon Muifa using a mesoscale coupled atmosphere-ocean model

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Abstract

A mesoscale coupled atmosphere-ocean model has been developed based on the GRAPES (Global and Regional Assimilation and Prediction System) regional typhoon model (GRAPES_TYM) and ECOM-si (estuary, coast and ocean model (semi-implicit)). Coupling between the typhoon and ocean models was conducted by exchanging wind stress, heat, moisture fluxes, and sea surface temperatures (SSTs) using the coupler OASIS3.0. Numerical prediction experiments were run with and without coupling for the case of Typhoon Muifa in the western North Pacific. To investigate the impact of using more accurate SST information on the simulation of the track and the intensity of Typhoon Muifa, experiments were also conducted using increased SST resolution in the initial condition field of the control test. The results indicate that increasing SST resolution in the initial condition field somewhat improved the intensity forecast, and use of the coupled model improved the intensity forecast significantly, with mean absolute errors in maximum wind speed within 48 and 72 h reduced by 32% and 20%, respectively. Use of the coupled model also resulted in less pronounced over-prediction of the intensity of Typhoon Muifa by the GRAPES_TYM. Moreover, the effects of using the coupled model on the intensity varied throughout the different stages of the development of Muifa owing to changes in the oceanic mixed layer depth. The coupled model had pronounced effects during the later stage of Muifa but had no obvious effects during the earlier stage. The SSTs predicted by the coupled model decreased by about 5–6°C at most after the typhoon passed, in agreement with satellite data. Furthermore, based on analysis on the sea surface heat flux, wet static energy of the boundary layer, atmospheric temperature, and precipitation forecasted by the coupled model and the control test, the simulation results of this coupled atmosphere-ocean model can be considered to reasonably reflect the primary mechanisms underlying the interactions between tropical cyclones and oceans.

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References

  • Bender M A, Ginis I, Kurihara Y. 1993. Numerical simulations of the tropical cyclone-ocean interaction with a high-resolution coupled model. J Geophys Res, 98(D12): 23245–23263

    Article  Google Scholar 

  • Bender M A, Ginis I. 2000. Real-case simulations of hurricane-ocean interaction using a high-resolution coupled models: Effects on hurricane intensity. Mon Wea Rev, 128(4): 917–946

    Article  Google Scholar 

  • Bender M A, Ginis I, Tuleya R, et al. 2007. The Operational GFDL coupled hurricane-Ocean prediction system and a summary of its performance. Mon Wea Rev, 135(12): 3965–3989

    Article  Google Scholar 

  • Black P G. 1983. Ocean temperature changes induced by tropical cyclones [dissertation]. Pennsylvania: The Pennsylvania State University, 278

    Google Scholar 

  • Blumberg A F, Mellor G L. 1987. A description of a three-dimensional coastal ocean circulation model. In: Heaps N S, ed. Three-Dimensional Coastal Ocean Models. Washington, DC: American Geophysical Union, 1–16

    Chapter  Google Scholar 

  • Blumberg A F. 1994. A primer for ECOM-si. Mahwah, NJ: Technical Report of Hydroqua, Inc

    Google Scholar 

  • Chan J C L, Duan Y H, Shay L K. 2001. Tropical cyclone intensity change from a simple ocean-atmosphere coupled model. J Atmos Sci, 58(2): 154–172

    Article  Google Scholar 

  • Chen C, Zhu J, Ralph E, et al. 2001. Prognostic modeling studies of the Keweenaw Current in Lake Superior, Part I: Formation and evolution. J Phys Oceanogr, 31(2): 379–395

    Article  Google Scholar 

  • Chen S S, Zhao W, Mark A, et al. 2007. The CBLAST-Hurricane program and the Next-Generation fully coupled atmosphere-wave-ocean models for hurricane research and prediction. Bull Amer Meteor Soc, 88(3): 311–317

    Article  Google Scholar 

  • Chang S W, Madala R V. 1980. Numerical simulation of the influence of sea surface temperature on translating tropical cyclones. J Atmos Sci, 37(12): 2617–2630

    Article  Google Scholar 

  • Emanuel K A. 1986. An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J Atmos Sci, 43(6): 585–604

    Article  Google Scholar 

  • Emanuel K A. 1999. Thermodynamic control of hurricane intensity. Nature, 401(6754): 665–669

    Article  Google Scholar 

  • Galperin B, Kantha L H, Hassid S, et al. 1988. A quasi-equilibrium turbulent energy model for geophysical flows. J Atmos Sci, 45(1): 55–62

    Article  Google Scholar 

  • Ginis I, Shen W, Bender M A. 1999. Performance evaluation of the GFDL coupled hurricane ocean prediction system in the Atlantic basin. Preprints, 23d Conf. on Hurricanes and Tropical Meteorology. Dallas, TX: Amer Meteor Soc, 607–610

    Google Scholar 

  • Ginis I. 2002. Tropical cyclone-ocean interactions. In: Perrie W, ed. Atmosphere-Ocean Interactions. Wessex Institute of Technology Press, 33: 83–114

    Google Scholar 

  • Kurihara Y, Bender M A, Ross R J. 1993. An initialization scheme of hurricane models by vortex specification. Mon Wea Rev, 121(7): 2030–2045

    Article  Google Scholar 

  • Kurihara Y, Bender M A, Tuleya R E, et al. 1995. Improvements in the GFDL hurricane prediction system. Mon Wea Rev, 123(9): 2791–2801

    Article  Google Scholar 

  • Mellor G L, Yamada T. 1982. Development of a turbulence closure model for geophysical fluid problem. Rev Geophys, 20(4): 851–875

    Article  Google Scholar 

  • Moon I J, Hara T, Ginis I, et al. 2007. A physics-based parameterization of air-sea momentum flux at high wind speeds and its impact on hurricane intensity predictions. Mon Wea Rev, 135(8): 2869–2878

    Article  Google Scholar 

  • Price J F. 1981. Upper ocean response to a hurricane. J Phys Oceanogr, 11(2): 153–175

    Article  Google Scholar 

  • Shade L R, Emanuel K A. 1999. The ocean’s effect on the intensity of tropical cyclones: Results from a simple coupled atmosphereocean model. J Atmos Sci, 56(4): 642–651

    Article  Google Scholar 

  • Shay L K, Goni G J, Black P G. 2000. Effect of a warm oceanic feature on hurricane Opal. Mon Wea Rev, 128(5): 1366–1383

    Article  Google Scholar 

  • Shen Qi, Zhu Jianrong, Duan Yihong, et al. 2010. Simulation of circulation and sea temperature in the Northwest Pacific. Journal of East China Normal University (Nature Science Edition) (in Chinese), (6): 26–35

    Google Scholar 

  • Shen Qi, Zhu Jianrong, Duan Yihong, et al. 2012. Numerical simulation of ocean circulation and temperature in the Northwest Pacific using a vertical S-coordinate model. Journal of Tropical Oceanography (in Chinese), 31(6): 20–28

    Google Scholar 

  • Valcke S. 2006. OASIS3 User Guide (prism_2-5). Technical Report TR/CMGC/06/73, CERFACS, Toulouse, France

    Google Scholar 

  • Valcke S. 2013. The OASIS3 coupler: a European climate modelling community software, Geosci. Model Dev, 6: 373–388, doi:10.5194/gmd-6-373-2013

    Article  Google Scholar 

  • Wada A. 2007. Numerical problems associated with tropical cyclone intensity prediction using a sophisticated coupled typhoon-ocean model. Pap Met Geophys, 58: 103–126

    Article  Google Scholar 

  • Wang Y. 1995. On an inverse balance equation in sigma-coordinates for model initialization. Mon Wea Rev, 123(2): 482–488

    Article  Google Scholar 

  • Wang Ziqian, Duan Anmin, Zheng Yongjun, et al. 2012. Simulative study of Typhoon Chanchu (2006) using the mesoscale coupled air-sea model GRAPES_OMLM. Acta Meteorologica Sinica, 70(2): 261–274

    Google Scholar 

  • Wu H, Zhu J R. 2010. Advection scheme with 3rd high-order spatial interpolation at the middle temporal level and its application to saltwater intrusion in the Changjiang Estuary Advection scheme with 3rd high-order spatial interpolation at the middle temporal level and its application to saltwater intrusion in the Changjiang Estuary. Ocean Modelling, 33(1–2): 31–51

    Google Scholar 

  • Xu Yinglong, Han Guirong, Ma Hongsu, et al. 2011. The analysis and discussion on operational forecast of super typhoon Muifa (1109). Meteorological Monthly (in Chinese), 37(10): 1196ese)o

    Google Scholar 

  • Xue Jishan, Chen Dehui. 2008. Scientific Design and Application of the Numerical Prediction System GRAPES (in Chinese). Beijing: Science Press

    Google Scholar 

  • Zhu Jianrong, Zhu Shouxian. 2003. Improvement of the ECOM with application to the Changjiang River Estuary, Hangzhou Bay and adjacent waters. Oceanologia et Liminologia Sinica (in Chinese), 34(4): 364–374

    Google Scholar 

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Correspondence to Yihong Duan.

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Foundation item: The National Basic Research and Development Program (973 Program) of China under contract No. 2009CB421506; the National Natural Science Foundation of China under contract No. 40975035; China Meteorological Administration GRAPES Research Fund.

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Sun, M., Duan, Y., Zhu, J. et al. Simulation of Typhoon Muifa using a mesoscale coupled atmosphere-ocean model. Acta Oceanol. Sin. 33, 123–133 (2014). https://doi.org/10.1007/s13131-014-0561-z

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  • DOI: https://doi.org/10.1007/s13131-014-0561-z

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