Uncertainty of storm surge forecast using integrated atmospheric and storm surge model: a case study on Typhoon Haishen 2020

References

• Dudhia, J. 1996. “A Multilayer Soil Temperature Model for MM5.” Preprints, Sixth PSU/NCAR Mesoscale Model Users’ Workshop, Boulder, CO, PSU/NCAR, 49–50.
   Google Scholar
• Feng, X., M. Li, B. Yin, D. Yang, and H. Yang. 2018. “Study of Storm Surge Trends in Typhoon-prone Coastal Areas Based on Observations and Surge-wave Coupled Simulations.” International Journal of Applied Earth Observation and Geoinformation 68: 272–278. doi:https://doi.org/10.1016/j.jag.2018.01.006.
   Web of Science ®Google Scholar
• Garratt, J. R. 1977. “Review of Drag Coefficients Over Oceans and Continents.” Monthly Weather Review 105 (7): 915–929.
   Google Scholar
• GEBCO Compilation Group. 2020. “GEBCO 2020 Grid.” doi:https://doi.org/10.5285/a29c5465-b138-234d-e053-6c86abc040b9.
   Google Scholar
• Holland, G. J. 1980. “An Analytic Model of the Wind and Pressure Profiles in Hurricanes.” Monthly Weather Review 108 (8): 1212–1218. doi:https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2.
   Web of Science ®Google Scholar
• Hong, S. Y., and Lim, J. O. J. 2006. “The WRF Single Moment 6 Class Microphysics Scheme (WSM6).” Journal of the Korean Meteorological Society 42: 129–151.
   Google Scholar
• Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, & W. D. Collins. 2008. “Radiative Forcing by Long-Lived Greenhouse Gases: Calculations with the AER Radiative Transfer Models.” Journal of Geophysical Research 113: D13103.
   Web of Science ®Google Scholar
• Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, & W. D. Collins. 2008. “Radiative Forcing by Long-Lived Greenhouse Gases: Calculations with the AER Radiative Transfer Models.” Journal of Geophysical Research 113: D13103.
   Web of Science ®Google Scholar
• Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, & W. D. Collins. 2008. “Radiative Forcing by Long-Lived Greenhouse Gases: Calculations with the AER Radiative Transfer Models.” Journal of Geophysical Research 113: D13103.
   Web of Science ®Google Scholar
• Iwamoto, T., R. Nakamura, T. Oyama, R. Mizukami, and T. Shibayama. 2014. “Prediction of Storm Surge at Tokyo Bay under RCP8.5 Scenario by Using Meteorological-Surge-Tide Coupled Model.” Journal of Japan Society of Civil Engineers, Series B2 (Coastal Engineering) 70 (2): 1261–1265. doi:https://doi.org/10.2208/kaigan.70.I_1261.
   Google Scholar
• Japan Meteorological Agency. 2018. “Information of Typhoon No. 24 (Sep. 3, 2018).” Press release material, 15.
   Google Scholar
• Japan Meteorological Agency. 2019. “Heavy Rain, Storm, etc. Due to Typhoon No. 19.” 65.
   Google Scholar
• Japan Meteorological Agency. 2020a. “Heavy Rains and Storms Caused by the Boso Peninsula Typhoon in the First Year of Reiwa and Its Fronts from August 13 to September 23, Etc.” Meteorological report at the time of disaster, 293.
   Google Scholar
• Japan Meteorological Agency. 2020b. “Typhoon Forecast Accuracy Verification Results.” Accessed 8 February 2021. https://www.data.jma.go.jp/fcd/yoho/typ_kensho/typ_hyoka_top.html
   Google Scholar
• Japan Meteorological Agency. 2020c. “Typhoon Position Table Reiwa 2nd Year (2020).” Accessed 8 February 2021. https://www.data.jma.go.jp/fcd/yoho/typhoon/position_table/table2020.html
   Google Scholar
• Japan Meteorological Agency. 2020d. “Storm, Heavy Rain, etc. Due to Typhoon No. 10.” Weather cases that caused disasters, 47.
   Google Scholar
• Japan Meteorological Agency. 2020e. “Verification of Forecast for Typhoon No. 10 in 2nd Year of Reiwa.” Press release material, 4.
   Google Scholar
• Japan Weather Association. 2018. “The Highest Tide in the Tokai Region Is Comparable to the Isewan Typhoon.” Accessed 8 February 2021. https://tenki.jp/forecaster/k_shiraishi/2018/09/30/2243.html
   Google Scholar
• Kowaleski, A., R. Morss, D. Ahijevych, and K. Fossell. 2020. “Using a WRF-ADCIRC Ensemble and Track Clustering to Investigate Storm Surge Hazards and Inundation Scenarios Associated with Hurricane Irma.” Weather and Forecasting 35 (4): 1289–1315. doi:https://doi.org/10.1175/WAF-D-19-0169.1.
   Web of Science ®Google Scholar
• Ministry of Land, Infrastructure, Transport and Tourism, Japan. 2020. “Storm Surge Inundation Assumption Area Figure Making Manual(Ver.2.00).” 84.
   Google Scholar
• LeVeque, R. 2002. Finite Volume Methods for Hyperbolic Problems, Cambridge Texts in Applied Mathematics. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Mandli, K. T., and C. N. Dawson. 2014. “Adaptive Mesh Refinement for Storm Surge.” Ocean Modelling 75: 36–50. doi:https://doi.org/10.1016/j.ocemod.2014.01.002.
   Web of Science ®Google Scholar
• Mattocks, C., and C. Forbes. 2008. “A Real-time, Event-triggered Storm Surge Forecasting System for the State of North Carolina.” Ocean Modelling 25 (3–4): 95–119. doi:https://doi.org/10.1016/j.ocemod.2008.06.008.
   Web of Science ®Google Scholar