Synthetic Tsunami Waveform for the Miyako Coast Based on Stochastic Source Models 4B

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 (No. 0400-0799), 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. We note that only the tsunami flux data is presented in this upload. 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