Coastal Tsunami Prediction in Tohoku Region, Japan, Based on S-net Observations Using Artificial Neural Network

In this folder, we provided synthetic earthquake data for model training, including:Parameters for Computing Seafloor deformation (sourcefile.zip)Synthetic offshore bottom pressure gauge data (OBPG.zip)Synthetic tide gauge observations (tide_gauge.zip)We selected 800 scenarios for model training out of 1000 hypothetical tsunamis, and the remaining 200 scenarios for model testing. The training dataset and testing dataset are both randomly selected and shuffled.Please note that because the artificial intelligence network is trained using Python language, Python sequences start numbering from 0. Therefore, these 1,000 scenarios are named from run_000000 to run_000999, including both training and testing files. The folder named run_000009 represents the No. 10 hypothetical tsunami scenario.