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- Dokumenttyp:
- Bachelorarbeit
- Art der Studienarbeit:
- Theoretisch
- Autor(en):
- Marvin Liam Hanke
- Titel:
- High-order Meteotsunami Simulation in ExaHyPE 2
- Abstract:
- Meteotsunamis are long, tsunami-like sea-level oscillations generated by atmospheric disturbances such as squall lines, fronts, and pressure jumps. Despite increasing observational evidence, numerical modelling of meteotsunamis remains challenging because it must consistently couple atmospheric forcing, basin-scale wave dynamics, and coastal amplification. This thesis investigates meteotsunami generation and resonance using the depth-averaged shallow-water equations implemented within the high-order ExaHyPE 2 framework. The governing equations are extended by hydrostatic pressure over variable bathymetry, Coriolis forcing, Manning bottom friction, and atmospheric pressure gradients, and discretised with a hybrid ADER–DG/finite-volume scheme with static limiting near complex coastlines. A geospatial preprocessing pipeline based on an Albers Equal-Area projection is developed to process global bathymetry (GEBCO) and to ensure consistent mapping between geographic and model coordinates. The model is validated against a canonical Proudman resonance benchmark in a uniformdepth basin. Numerical experiments for different water depths reproduce the expected Froudenumber-dependent amplification, with maximum response near Fr ≈ 1 and asymmetric behaviour for Fr < 1 and Fr > 1 in good agreement with published results. The framework is then applied to an idealised reconstruction of the February 2010 Clearwater Beach meteotsunami in the Gulf of Mexico, using reprojected bathymetry and an analytically prescribed travelling pressure footprint.
- DDC:
- 000 Informatik, Wissen, Systeme
- Aufgabensteller:
- Prof. Dr. Michael Bader
- Betreuer:
- Mario Wille
- Jahr:
- 2025
- Quartal:
- 4. Quartal
- Jahr / Monat:
- 2025-12
- Monat:
- Dec
- Sprache:
- en
- Hochschule / Universität:
- Technical University of Munich
- Fakultät:
- TUM School of Computation, Information and Technology
- TUM Einrichtung:
- Department of Computer Science
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