COMPREHENSIVE NUMERICAL SIMULATION OF WAVES CAUSED BY TYPHOON USING A METEOROLOGY-WAVE-STORM SURGE-TIDE COUPLED MODEL

Koichiro Ohira, Tomoya Shibayama, Miguel Esteban, Takahito Mikami, Tomoyuki Takabatake, Makito Kokado

Abstract


The present study focuses on the risks of storm surge caused by future increases in typhoon intensity due to climate change. These risks were analyzed by integrating weather, wave, storm surge and tide prediction systems into a new simulation methodology. This model, which the authors developed by themselves, makes it possible to calculate the weather fields of typhoons in the past as well as in the future on the basis of meteorology and can simulate waves in a complex geographical area, in contrast with many previous storm surge simulation methods which were not based on accurate meteorological models. The model was verified to accurately reproduce historical typhoons and waves and thus is a useful tool for the analysis of future climate risks.

Keywords


storm surge; climate change; WRF; SWAN; Nao.99b

References


Bureau of Port and Harbor Tokyo Metropolitan Government (win, wave and tide); http://micos-sa.jwa.or.jp/metro/tokyop/topframe.htm Accessed 11 November 2012.

CISL Research Data Archive (2012); http://rda.ucar.edu/datasets/ds083.2/ Accessed 11 November 2012.

Esteban, M., Webersik, C., Shibayama, T. (2009) "Methodology for the Estimation of the Increase in Time Loss Due to Future Increase in Tropical Cyclone Intensity in Japan", Journal of Climatic Change, Volume 102, Numbers 3-4,pp. 555-578.

Esteban M. and Longarte-Galnares, G. (2010) "Evaluation of the Productivity Decrease Risk due to a Future Increase in Tropical Cyclone Intensity in Japan", Journal of Risk Analysis, pp. 1789–1802.

Hoshino, S., Esteban., M., Shibayama, T., Mikami, T. and Takabatake, T. (2012) ; Climate Change and Coastal Defences in Tokyo Bay. Proc. of 32nd Int. Conf. on Coastal Engineering (ICCE 2012), Santander, Spain. JMA (wind): http://www.data.jma.go.jp/obd/stats/etrn/index.php. Accessed 11 November 2012.

Kato, H. (2005): 高潮危険度評価に関する研究, Paper of National Institute for Land and Infrastructure Management in Japanese, No.275, http://www.nilim.go.jp/lab/bcg/siryou/tnn/tnn0275.htm

Knutson, T., McBride, J., Chan, J., Emanuel, K., Holland, G., Landsea, C., Held, I., Kossin, J., Srivastava, A., &Sugi, M. (2010). Tropical cyclones and climate change Nature Geoscience, 3 (3), 157-163 DOI: 10.1038/ngeo779http://dx.doi.org/10.1038/ngeo779

Mase H., Katsui S,. Yasuda T,. Tracey H. TomandOgawa K. (2006): Verification of GFS-WRF-SWAN Wave prediction system by three season's comparison, Journal of JSCE, Ser. B3 (Civil Engineering in the Ocean) in Japanese, 22, 109 – 114.

Mase, H,Muto, R,Mori, N, Kim. S, Yasuda, T (2011): Storm Surge Simulation due to Isewan Typhoon using Detailed Meteorological Re-analysis Data, Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), JSCE in Japanese, 67-2, 401 – 405 NOWPHAS (wave and tide): http://www.mlit.go.jp/kowan/nowphas/index_eng.html Accessed 11 November 2012.

Yoshino, J・Murakami, T,. Hayashi, M,. Yasuda, T,. (2005): 沿岸地域における台風災害軽減のための台風強度予測手法に関する研究,Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), JSCE in Japanese, 57, 1226 – 1230.

Yoshino, J,. Iwamoto, S,. Murakami, T,. Yasuda, T,. (2011): Dynamic Estimation of the Maximum Potential Wind Speed in the Bay of Tokyo Based on the Typhoon Potential VorticityBogussing System,Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol. 67-2, pp. 411 – 415.

Matsumoto K., Takashi T., and Ooe M. (2000) : Ocean Tide Models Developed by Assimilating TOPEX/ POSEIDON Altimeter Data into Hydrodynamical Model, A Global Model and a Regional Model Around Japan, Journal of Oceanography, Vol.56, pp.567-581.http://dx.doi.org/10.1023/A:1011157212596

Mikami, T., Shibayama, T., Esteban, M. and Matsumaru, R., (2012); Field Survey of the 2011 Tohoku Earthquake and Tsunami in Miyagi and Fukushima Prefectures, Coastal Engineering Journal (CEJ), Vol. 54, No. 1.

Mori, N., Takahashi T., Yasuda T., Yanagisawa H. (2011): Survey of 2011 Tohoku earthquake tsunami inundation and run-up, Geophysical Research Letters, Vol. 38, L00G14, 6 pp.

Hoshino S., Esteban M., Mikami T.,Takabatake T., Shibayama T. (2011): Effect of sea level rise and increase in typhoon intensity on coastal structures in Tokyo Bay, Proceedings of 6th International Conference on Coastal Structures, pp. 43-44.

Pielke Jr., R. A. (2007) Future Economic Damage from Tropical Cyclones. Sensitivities to Societal and Climate Changes, Philosophical Transactions of the Royal Society, DOI:10.1098/rsta.2007.2086.Pielke., R. A. and Landsea C. W.(1998); Normalized Hurricane Damages in the United States: 1925-95. Weather and Forecasting, 13, 621-631. Normalized Hurricane Damages in the United States: 1925-95. Weather and Forecasting, 13, 621-631.

Sasaki J., Ito K., Suzuki T., Utami R., Wiyono A, Oda Y., Takayama Y., Yokata K., Furuta A., Takagi H.(2012): Behaviour of the 2011 Tohoku Earthquake Tsunami and Resultant Damage in Tokyo Bay, Coastal Engineering Journal (CEJ), Vol. 54, No. 1http://dx.doi.org/10.1142/S057856341250012X

Shibayama T., Okayasu A. and Toki M. (1990): Storm surge calculation by using 2-level model in Tokyo bay.,Jornal of JSCE, Ser. B3 (Civil Engineering in the Ocean) in Japanese, 6, 77 – 82.

SWAN (Simulating Waves Nearshore): A numerical wave model forobtaining realistic estimates of wave parameters in coastal areas,lakes and estuaries from given wind-, bottom-, and currentconditions (online), Delft University of Technology, http://fluidmechanics.tudelft.nl/swan/default.htm, Reference May. 20. 2012

Takagi H., Kashiwabaya H., and Tomoya S.(2009): Quantitative Evaluation of Vulnerabilities in Coastal Structures due to Climate Change -Case Studies for Breakwaters-, Journal of coastal engineering, JSCEin Japanese, 65-1, 891 – 895

Takagi, H., Kashihara, H., Esteban, M. and Shibayama, T. (2011) ; Assessment of Future Stability of Breakwaters under Climate Change, Coastal Engineering Journal, Vol. 53, No. 1

Vermeer, M. and Rahmstorf, S.(2009); PNAS 2009;106:21527-21532http://dx.doi.org/10.1073/pnas.0907765106

WRF (Weather Research and Forecasting): A mesoscale numericalweather prediction model (online), NCAR (the National Center for Atmospheric Research), PDF

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