Journal of Marine Science and Engineering Article Development of GMDH-Based Storm Surge Forecast Models for Sakaiminato, Tottori, Japan Sooyoul Kim 1 , Hajime Mase 2,3,4,5, Nguyen Ba Thuy 6,* , Masahide Takeda 7, Cao Truong Tran 8 and Vu Hai Dang 9 1 Center for Water Cycle Marine Environment and Disaster Management, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan;
[email protected] 2 Professor Emeritus, Kyoto University, Kyoto 611-0011, Japan;
[email protected] 3 Toa Corporation, Tokyo 163-1031, Japan 4 Hydro Technology Inst., Co., Ltd., Osaka 530-6126, Japan 5 Nikken Kogaku Co., Ltd., Tokyo 160-0023, Japan 6 Vietnam National Hydrometerological Forecasting Center Hanoi, No 8, Phao Dai Lang, Dong Da, Hanoi, Vietnam 7 Research and Development Center, Toa Corporation, Kanagawa 230-0035, Japan;
[email protected] 8 Le Quy Don Technical University, 236 Hoang Quoc Viet St, Hanoi, Vietnam;
[email protected] 9 Institute of Marine Geology and Geophysics, VAST, 18 Hoang Quoc Viet St, Hanoi, Vietnam;
[email protected] * Correspondence:
[email protected] Received: 31 July 2020; Accepted: 4 October 2020; Published: 14 October 2020 Abstract: The current study developed storm surge hindcast/forecast models with lead times of 5, 12, and 24 h at the Sakaiminato port, Tottori, Japan, using the group method of data handling (GMDH) algorithm. For training, local meteorological and hydrodynamic data observed in Sakaiminato during Typhoons Maemi (2003), Songda (2004), and Megi (2004) were collected at six stations. In the forecast experiments, the two typhoons, Maemi and Megi, as well as the typhoon Songda, were used for training and testing, respectively.