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JDR Vol.10 No.3 pp. 448-456
(2015)
doi: 10.20965/jdr.2015.p0448

Paper:

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Bias Correction in Typhoon and Storm Surge Projection Considering Characteristics of Global Climate Model MRI-AGCM3.2S

Noriaki Hashimoto*, Yukihiro Kinashi**, Tomoko Kawashima**, Masaki Yokota*, Masaru Yamashiro*, and Mitsuyoshi Kodama*

*Coastal and Ocean Engineering Laboratory, Faculty of Engineering, Kyushu University
744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan

**River and Water Resources Division, Kyushu Office, CTI Engineering Co., Ltd.
CTI Fukuoka Building, 2-4-12 Daimyo, Chuo-ku, Fukuoka 810-0075, Japan

Received:
December 16, 2014
Accepted:
April 20, 2015
Published:
June 1, 2015
Creative Commons License
Keywords:
climate change, storm surge, MRI-AGCM3.2S, best track data, Ariake Sea
Abstract
The typhoons that so often rage across Japan’s southwestern island, Kyushu, are expected to occur even oftener in the future due to global warming. Storm surge projections have been reported based on the super-high-resolution global climate model MRI-AGCM3.2S developed by Japan’s Meteorological Research Institute (MRI). AGCM3.2S overestimates typhoon strength around Japanese islands, however, and this could lead to exaggerated storm surge projection. We therefore evaluate a bias correction method of typhoon strength considering the typhoon characteristics of AGCM3.2 in estimating maximum storm surge anomaly on the Ariake Sea coast. Our results indicated the possibility of storm surge anomaly of 2.8 m, exceeding the current design storm surge anomaly of 2.36 m at the innermost Ariake Sea.
Cite this article as:
N. Hashimoto, Y. Kinashi, T. Kawashima, M. Yokota, M. Yamashiro, and M. Kodama, “Bias Correction in Typhoon and Storm Surge Projection Considering Characteristics of Global Climate Model MRI-AGCM3.2S,” J. Disaster Res., Vol.10 No.3, pp. 448-456, 2015.
Data files:
References
  1. [1] N. Hashimoto, H. Kawai, and K. Matsuura, “Analysis of Typhoon Characteristics in the Future under Global Warming with the Use of RCM20 Data and Stochastic Typhoon Model,” Coastal Engineering Journal, Vol.52, pp. 1221-1225, 2005 (in Japanese).
  2. [2] H. Kawai, N. Hashimoto, and K. Matsuura, “Evaluation of Storm Surge Occurrence Probability Distribution in Seto Inland Sea under Global Warming Using a Stochastic Typhoon Model,” Coastal Engineering Journal, Vol.53, pp. 1271-1275, 2006 (in Japanese).
  3. [3] H. Kawai, N. Hashimoto, M. Yamashiro, and T. Yasuda, “Variation of Extreme Storm Surges with Wind Field Model and Future Typhoon Change in Stochastic Typhoon Simulation,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.65, No.1, pp. 1256-1260, 2009 (In Japanese).
  4. [4] J. Yoshino, T. Murakami, K. Kobayashi, and T. Yasuda, “An Estimation Method for Potential Storm Surge Heights Using a New Typhoon Initialization Technique,” Coastal Engineering Journal, Vol.54, pp. 316-320, 2007 (in Japanese).
  5. [5] J. Yoshino, K. Kobayashi, H. Kojima, and T. Yasuda, “Estimation of Potential Storm Surge and Wave Heights in the Bag of Ise Based on the Atmosphere and Ocean Dynamics,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) Vol.65, No.1, pp. 396-400, 2009 (in Japanese).
  6. [6] T. Murakami, H. Fukao, J. Yoshino, T. Yasuda, S. Iizuka, and S. Shimokawa, “Distributions of Possible Maximum Storm Surges and High Waves in Tokyo Bay under Global Warming Affected Climate,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.67, No.2, pp. 396-400, 2011 (In Japanese).
  7. [7] T. Murakami, H. Fukao, J. Yoshino, J. Iida, and T. Yasuda, “Risk Assessment for Coupled Hazards by Maximum Possible Typhoons in Ise Bay,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.67, No.2, pp, 406-410, 2011 (In Japanese).
  8. [8] T. Yasuda, S. Nakajo, S. Youl Kim, N. Mori, H. Mase, and K. Horsburgh, “Evaluation of Storm Surge Risk Directly Based on Climate Change Projection,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.67, No.2, pp. 1171-1175, 2011 (in Japanese).
  9. [9] H. Kiri, H. Tanji, and T. Nakaya, “Change of Anomaly Rise by Storm Surge Due to Typhoon after the Global Warming,” Coastal Engineering Journal, Vol.51, pp. 241-245, 2004 (in Japanese).
  10. [10] MEXT (Ministry of Education, Culture, Sports, Science and Technology), “Projection of the change in future weather extremes using super-high-resolution atmospheric models,” The Innovative Program of Climate Change Projection for the 21st Century (KAKUSHIN Program), research report, 2011 (in Japanese).
  11. [11] H. Murakami et al., “Future Changes in Tropical Cyclone Activity Projected by the New High-Resolution MRI-AGCM,” Journal of Climate, Vol.25, pp. 3237-3259, 2012 (in Japanese).
  12. [12] C. Chen et al., “An Unstructured, Finite-volume, three dimensional, primitive equation ocean model,” application to coastal ocean and estuaries. J. Atm.&Oceanic Tec., Vol.20, pp. 159-186, 2003.
  13. [13] M. D. Powel, P. J. Vickery, and T. A. Reinhold, “Reduced drag coefficient for high wind speeds in tropical cyclones,” Nature, Vol.422, pp. 279-283, 2003.
  14. [14] M. Yokota, N. Hashimoto, Y. Tanaka, and M. Kodama, “Dependence Property of the Distance from the Strong Wind Area to the Wave Observation Station in the Inverse Estimation of Sea Surface Drag Coefficient,” Journal of Japan Society of Civil Engineers, Ser. B3 (Ocean Engineering), Vol.67, No.2, pp. 903-907, 2011 (in Japanese).
  15. [15] Y. Kinashi, M. Yamashiro, S. Himeno, T. Nakano, M. Yokota, and N. Hashimoto, “ Basic Study on Applicability of a Coastal Circulation Model With Unstructured Grids to Storm Surge Simulations,” Journal of Japan Society of Civil Engineers, Ser. B3 (Ocean Engineering), Vol.68, No.2, pp. 858-863, 2012 (in Japanese).
  16. [16] K. Takigawa, “The Shiranui Sea Storm Surge Disasters Caused by Typhoon 9918,” JSCE Magazine (Civil Engineering), Vol.85, pp. 41-45, March 2000 (in Japanese).
  17. [17] Y. Kinashi, M. Yamashiro, S. Himeno, M. Yokota, and N. Hashimoto, “Numerical Study on Storm Surge in the Ariake Sea Based on the Future Climate Projection by MRI-AGCM3.2S,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.68, No.2, pp. 201-205, 2012 (in Japanese).
  18. [18] T. Yasuda, Y. Hayashi, N. Mori, and H. Mase, “A stochastic typhoon model applicable to storm surge and wave simulations for climate change projection,” Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.66, Nos.1-2, pp. 1241-1245, 2010 (in Japanese).

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