Tess Jacobson, 2019, Physics

I researched the ways tropical-cyclone tracks change with different climate-warming models. I looked primarily at North Atlantic tropical cyclones, as well as some South Indian Ocean cyclones. Using Python, I separated all North Atlantic tropical cyclones from 1980- 2007 into six distinct clusters, based on their locations and tracks. Then, by doing the same clustering for hurricane tracks from climate models with warming signals, I was able to see the way each cluster behaved with the different climate models. I found that the basin-wide reduction of storms predicted by climate models was mostly accounted for by storms in the subtropics — North Atlantic storm frequency doesn’t decrease everywhere with warming. During this project, I learned to program in Python and work with large datasets. I also attended a weekly reading group on climate in the Program in Atmospheric and Oceanic Sciences, and learned quite a lot about the field of oceanography. I plan on pursuing a Ph.D., so the knowledge and skills that I gained during the summer will help me better navigate academia and my future research.