Synthetic Tsunami Waveform for the Miyako Coast Based on Stochastic Source Models 3C

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. 0700-1000), 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 height 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本数据集包含日本东北（Tohoku）地区宫古沿海区域的模拟海啸波形，采用1000个随机海啸震源模型（编号0700-1000）生成，涵盖了多种潜在海啸情景。 研究采用非线性海啸模型（nonlinear tsunami model）计算海啸传播过程，所得波形数据可用于训练海啸预测用人工神经网络（artificial neural network）及其他数据驱动方法等相关应用场景。 本次上传仅包含海啸高度数据。 所有模拟均依托东京大学地震研究所（Earthquake Research Institute, University of Tokyo）的EIC超级计算机系统完成。 本数据集关联以下研究成果： Wang, Y., Imai, K., Miyashita, T. 等. (2023). 基于S-net观测与人工神经网络的日本东北区域沿海海啸预测. 《地球、行星与空间》, 75, 154. https://doi.org/10.1186/s40623-023-01912-6