Tsunamis as one of the most destructive natural disasters, have driven extensive research. This thesis focuses on the development of a reliable solver for the shallow water equations (SWEs) used for describing tsunamis, using the ExaHyPE 2 engine, and implementing an uncertainty quantification framework for tsunami models. The primary objectives of this research are to accurately model the 2011 Tohoku tsunami and estimate its initial conditions using the measurement data from real-world buoys. The solver developed in ExaHyPE 2 showed accurate results in modeling the Tohoku tsunami. Furthermore, the integration of UM-Bridge allowed the application of the Metropolis-Hastings Markov Chain Monte Carlo (MHMCMC) algorithm to estimate the initial displacement data with reasonable precision. Despite the promising results, some simplifications in the modeling process, such as using larger computational cells, introduced minor inaccuracies. These inaccuracies, while not significantly affecting the overall results, are important to note for future improvements in the model. This thesis contributes to the field of tsunami modeling by providing a scalable and accurate model for tsunamis using ExaHyPE 2. Keywords: Tsunami simulation, ExaHyPE 2, Uncertainty Quantification, UM-Bridge     «

Tsunamis as one of the most destructive natural disasters, have driven extensive research. This thesis focuses on the development of a reliable solver for the shallow water equations (SWEs) used for describing tsunamis, using the ExaHyPE 2 engine, and implementing an uncertainty quantification framework for tsunami models. The primary objectives of this research are to accurately model the 2011 Tohoku tsunami and estimate its initial conditions using the measurement data from real-world buoys. T...     »