# 한반도에 영향을 미친 태풍 경로별 재해평가모형의 활용도 분석

• Park, Jong-Kil (Department of Civil and Environmental Engineering/Atmospheric Environment Information Research Center, Inje University) ;
• Lee, Bo-Ram (Korea Meteorological Industry Promotion Agency) ;
• Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University)
• 박종길 (인제대학교 환경공학과/대기환경정보연구센터) ;
• 이보람 (한국기상산업진흥원) ;
• 정우식 (인제대학교 대기환경정보공학과/대기환경정보연구센터)
• Accepted : 2016.10.20
• Published : 2016.11.30
• 27 6

#### Abstract

As a result of dividing typhoon that affected Korean Peninsular between 1999 and 2012 into 7 types of path and entering forecast field and analysis field of RDAPS, until 36 hours from the time of forecast, it is reliable to use the forecast field of RDAPS to predict typhoon and for each typhoon path, the difference between the forecast and the analysis shows normal distribution, which is usable for weather forecast until the $36^{th}$ hour. In the $48^{th}$ hour from the time of forecast, the difference of result depending on each typhoon path increased, which was analyzed to be due to errors in the forecast. It was expected that relatively reasonable results should be shown if the $36^{th}$ hour forecast is used to predict the strength and distribution of strong wind. As a result of using Korean RAM and observing the difference of the maximum damage, reliability was secured up to 36 hours and after 48hours, it was expected that the fluctuation of results may become more severe.

#### Keywords

RAM;Typhoon type;Forecast field;Analysis field

#### Acknowledgement

Supported by : 기상청

#### References

1. Broccoli, A. J., Manabe, S., 1990, Can existing climate models be used to study anthropogenic changes in tropical cyclone climate?, Geophysical Research Letters, 17(11), 1917-1920. https://doi.org/10.1029/GL017i011p01917
2. IPCC, 2007, The physical science basis, summary for policymakers, contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1-21.
3. Jung, W. S., 2014, Climate change, typhoon and extreme wind, Symposium on Climate Change Adaptation Measures.
4. Kim, J. S., 2013, On the characteristics of damage scale and risk management system by strong wind speed of typhoon, Master's Thesis, Inje University, Gimhae.
5. NEMA, 2010, Statistical yearbook of natural disaster, 888-898.
6. NIMS, 2009, Understanding of climate change II, 46-49.
7. Oouch, K., Yoshimura, J., Yoshimura, H., Mizuta, R., Kusunoki, S., Noda, A., 2006, Tropical cyclone climatology in a global-warming climate as simulated in a 20 km-mesh global atmospheric model: Frequency and wind intensity analyses, Journal of Meteorological Society of Japan, 84(2), 259-276. https://doi.org/10.2151/jmsj.84.259
8. Park, J. K., Lee, B. R., Jung, W. S., 2015, Compatibility for the typhoon damages predicted by Korea risk assessment model input data, Journal of Environmental Sciences International, 24(7), 865-874. https://doi.org/10.5322/JESI.2015.24.7.865
9. Park, J. K., Kim, B. S., Jung, W. S., 2006, Change in statistical characteristics of typhoon affecting the Korean peninsula, Atmosphere, 16(1), 1-17.
10. Sugi, M., Noda, A., Sato, N., 1997, Influence of global warming on tropical cyclone climatology: An experiment with the JMA global model, WMO/TD-No. 792.
11. Sugi, M., Noda, A., Sato, N., 2002, Influence of the global warming on tropical cyclone climatology: An experiment with the JMA global model, Journal of Meteorological Society of Japan, 80, 249-272. https://doi.org/10.2151/jmsj.80.249