Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Marsha Berger - Towards Adaptive Simulations of Dispersive Tsunami Propagation

International Mathematical Union via YouTube

Overview

Explore the complexities of tsunami modeling and simulation in this 46-minute lecture by Marsha Berger. Dive into the shallow water equations (SWE) and their application in predicting tsunami impacts from earthquake sources. Learn about adaptive mesh refinement (AMR) techniques used in the open-source Geoclaw simulation code, allowing for variable resolution from kilometer scale in deep oceans to meter scales near shorelines. Discover the importance of dispersive Boussinesq corrections for modeling shorter waves caused by landslides or asteroid impacts. Examine simulations using both SWE and Boussinesq models, along with analytical explorations of 1D models. Gain insights into tsunami modeling strategies, including the Asteroid Threat Assessment Project (ATAP) and air-burst generated tsunamis. Understand the challenges of implementing adaptive mesh refinement in dispersive models and explore potential solutions through case studies such as the Grays Harbor simulation.

Syllabus

Towards Adaptive Simulations of Dispersive Tsunami Propagation
Tsunami Modeling
Outline of Talk
Shallow Water Equations
Sketch of SWE Derivation
Patch-based AMR with GeoClaw
Tohuko Simulation
Asteroid Airbursts (ATAP)
Asteroid Threat Assessment Project (ATAP)
Simulation of 25 MT static spherical charge
Air-Burst Generated Tsunamis
Comparison of 4 Airburst Models in 2D
Airburst Simulations (4 km depth)
1D Model Problem (Linearized Euler)
Modeling Summary
Asteroid Impact Simulation Strategy (2)
What about Adaptive Mesh Refinement?
Grays Harbor
Boussinese Simulation - zoom
Conclusions

Taught by

International Mathematical Union

Reviews

Start your review of Marsha Berger - Towards Adaptive Simulations of Dispersive Tsunami Propagation

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.