As tropical cyclones move poleward, they sometimes undergo a process known as extratropical transition, in which their structures are altered and they change into extratropical cyclones. Hurricane Sandy (2012) was such an example, with the transition timing complicating forecasting and leading to the “Superstorm” characterization as forecasters did not have a simple label for it. In this project, the student will analyze historical data on tropical cyclones and their large-scale environments to see if the occurrence of extratropical transition is related to the mode in which the storm forms, a process known as “tropical cyclogenesis”. The student will conduct statistical analysis on the “best track” data produced by national forecast centers and “reanalysis” data produced by national meteorological modeling centers. The work may be carried out in Python, Matlab or other computational software, and will be supervised by Prof. Adam Sobel. Collaboration with colleagues at Lamont-Doherty Earth Observatory will also be involved.
Position Dates: 5/15/2019 - 8/15/2019
Paid Position: Yes, 35 hours/week
Location of lab: APAM and LDEO
Qualifications: Python, Matlab or equivalent; calculus and physics; basic statistics.
Eligibility: Freshman, Sophomore, Junior, Senior, Master's. (SEAS only)