Multiscale Vortex Interactions of severe weather events in a changing climate
Supervisor: Dr. Lisa Schielicke
Project Description (Abstract):
In this thesis project, the student will explore how vortex dynamics across multiple scales -- from mesoscale vortices to large-scale atmospheric blocking patterns --influence the occurrence and predictability of extreme weather events. The research will involve developing and validating a machine learning model trained on both observational data and high-resolution simulations to identify and analyze vortex structures within various climate models. By examining how multiscale vortex interactions may change under future climate scenarios, this study aims to provide new insights into the potential effects of climate change on the frequency and intensity of extreme weather events.
