Synthetic Tsunami Waveform for the Miyako Coast Based on Stochastic Source Models 2

This dataset contains simulated tsunami waveforms for the coastal area of Miyako in the Tohoku region of Japan. The dataset was generated using 1,000 stochastic tsunami source models, producing a wide range of possible tsunami scenarios. The tsunami propagation was calculated using a nonlinear tsunami model. The resulting waveform data can be used for applications such as training artificial neural networks for tsunami prediction and other data-driven approaches. All simulations were performed using the EIC supercomputing system at the Earthquake Research Institute, University of Tokyo. The dataset is associated with the following study: Wang, Y., Imai, K., Miyashita, T., et al. (2023). Coastal tsunami prediction in Tohoku region, Japan, based on S-net observations using artificial neural network. Earth, Planets and Space, 75, 154. https://doi.org/10.1186/s40623-023-01912-6