STORM SURGE SIMULATION IN NAGASAKI DURING THE PASSAGE OF 2012 TYPHOON SANBA

D.P.C. Laknath, Kazunori Ito, Takahide Honda, Tomoyuki Takabatake

Abstract


As a result of global warming effect, storm surges generated by extreme weather events such as tropical cyclones, typhoons and hurricanes, significantly impact to the life and property in storm-surge prone coastal low-lying areas. Therefore, numerical modeling systems, comprising meteorological, hydrodynamic and wave simulation capabilities are essential for the storm surge hindcasting and forecasting phases in disaster mitigation and management processes. Accordingly, we assessed the applicability of two meteorological simulation methods; (1) Mesoscale Meteorological Model MM5 and (2) Delft Dashboard (DDB) Tropical Cyclone Tool, together with Delft3D FLOW-WAVE coupled modeling system to simulate the storm surges in Nagasaki coast during the passage of 2012 typhoon SANBA. Storm surge generated by MM5-Delft3D and DDB-Delft3D systems in Nagasaki area were reasonably agreed with the observations. Thus, applicability of both meteorological simulation techniques together with Delft3D FLOW-WAVE coupled modeling system to simulate the storm surge was validated with a reasonable level of accuracy. Further, compared to the MM5-Delft3D system, fast and easy simulation capability of DDB-Delft3D system was identified. However, in terms of accuracy, MM5-Delft3D system demonstrated much better performance in outer regions of the typhoon than the DDB-Delft3D system.

Keywords


MM5; Delft3D; typhoon bogus; Delft Dashboard; Wind Enhancement Scheme

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References


Booij, N., Ris, R., Holthuijsen, L. 1999. A third-generation wave model for coastal regions, part I: model description and validation, Journal of Geophysical Research 104 (C4), pp. 7649-7666.

Davis, C., and Lownam, S. 2001. The NCAR-AFWA tropical cyclone bogussing scheme, A report prepared for the Air Force Weather Agency (AFWA),13p.

Dean, R.G., and Dalrymple, R.A. 2002. Coastal Processes with Engineering Applications, Cambridge University Press, 475 pp.

Delft Dashboard Team. 2013. Delft Dashboard, https://publicwiki.deltares.nl/display/OET/DelftDashboard, (accessed on 10 Jul. 2013).

Deltaers. 2010. Delft3D - User Manual, version 3.14.

Emanuel, K. A. 2005. Increasing destructiveness of tropical cyclones over the past 30 years, Nature,

Vol. 436, pp. 686-688.

Grell, G.A., Dudhia, J. and Stauffer, D.R. 1994. A description of the fifth-generation Penn State/ NCAR

mesoscale model (MM5), NCAR Tech Note, NCAR/TN-398+STR, 117.

Holland, G.J. 1980. An Analytic Model of the Wind and Pressure Profiles in Hurricanes, Monthly Weather Review, 108-8, pp. 1212-1218.

Low-Nam, S., and Davis, C. 2001. Development of a tropical cyclone bogussing scheme for the MM5 system. Preprint, the Eleventh PSU/NCAR Mesoscale Model Users' Workshop, June 25-27, 2001, Boulder, Colorado, pp. 130-134.

Nordhaus, W. D. 2006. The Economics of Hurricanes in the United States. Boston, Annual Meetings of the American Economic Association.

UNISYS: Hurricane/Tropical Data, http://weather.unisys.com/hurricane/, (accessed on 10 Jul. 2013).

Webster, P. J., Holland, G. J., Curry, J. A. and Chang, H. R. 2005. Changes in tropical cyclone number, duration and intensity in a warm environment, Science, Vol. 309, pp. 1844-1846.

Wikipedia Contributors. 2013. Typhoon SANBA 2012, Wikipedia, The Free Encyclopedia, (accessed on 17th May, 2013).




DOI: https://doi.org/10.9753/icce.v34.management.4