- A coupled model of surge, wave and tide (SuWAT) developed with the collaboration of Professors H. Mase and Mori at DPRI, Kyoto University and T. Yasuda at Kansai University.
- The SuWAT model on structured C grids has been rewritten based on Message Passing Interface to nest inner domains and robust calculation speeds.
- Wind and pressure force can be chosen by a parametric model and an external atmospheric circulation model.
- The source code of SuWAT is opened to the public and commercial sectors.
- SuWAT for predicting surges on lower resolutions but corresponding to accuracies obtained from higher resolutions
- The surge module is only taken for real-time storm surge preditions
- A coupled model of surge, wave, tide, wave runup/overflow, and flood
- The model calculates floods induced by a compound components of surges, wind waves, tide, and wave runup/overtopping.
- Collaborator: Professor Mase at Kyoto U, Professor Yuhi at Kanazawa U, and others
- A coupled model of surge, wave, tide, riverflow, and flood
- The model calculates floods induced by a compound components of surges, wind waves, tide, and riverflow
- Collaborator: Professor Mori at Kyoto U, Dr. Toyoda at Toyohashi University of Technology, Dr. Shibutani at Toyo Construction
- A coupled model of surge, wave, tide, wave overtopping/runup, precipitation, sewage backflow, and flood
- The model calculates floods induced by compound components of surges, wind waves, tide, wave overtopping/runup, precipitation, and sewage backflow.
- Collaborator: Professor Mase and Professor Mori at Kyoto U
- A coupled model of surge, wave, tide, sedmiment transport, and morphodynamics (SuWATsed +Xbeach)
- Collaborator: Professor Tsuzimoto at Kumamoto U and Professor Mori at Kyoto U
- It is a study on modeling of meteorological tsunamis generated by micro-pressure waves.
- Collaborator: Associate Professor Nakajo at Osaka Metropolitan University, Associate Professor Ninomiya at Kanazawa University
- Blackbox-type artificial nueral network-based wave/surge prediction model
- Artificial neural network
- Long short-term memory
- Whitebox-type artificial nueral network-based wave/surge prediction model
- Group Method of Data Handling (GMDH), Genetic Programming (GP) など
- Deep learning technique-based typhoon/surge/wave prediciton models