Environmental Internship Program - 2023 Booklet
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OCEANS AND<br />
ATMOSPHERE<br />
Jaeda Woodruff ’25<br />
GEOSCIENCES<br />
PROJECT TITLE<br />
Real-time Forecasting<br />
System for Hurricane<br />
Hazards and Risk<br />
ORGANIZATION(S)<br />
Hurricane Hazards and<br />
Risk Analysis Group,<br />
Department of Civil<br />
and <strong>Environmental</strong><br />
Engineering, Princeton<br />
University<br />
MENTOR(S)<br />
Ning Lin,<br />
Professor of Civil and<br />
<strong>Environmental</strong><br />
Engineering; Christine<br />
Blackshaw, Ph.D.<br />
candidate, Civil and<br />
<strong>Environmental</strong><br />
Engineering; Avantika<br />
Gori, Ph.D. candidate,<br />
Civil and <strong>Environmental</strong><br />
Engineering<br />
I compared the performance of various<br />
hurricane forecasting models from 2020-2022<br />
and created a customizable forecasting tool<br />
trained on publicly available data. The tool<br />
uses a super ensemble approach, combining<br />
multiple independent models in a performancebased<br />
weighted average. This tool will be used<br />
to enable real-time, highly accurate hazard<br />
forecasting of factors such as wind speed, storm<br />
surge, rainfall and storm path on a county-bycounty<br />
basis without reliance on subjective<br />
forecasts. Through this research experience, I<br />
learned a range of skills including data analysis<br />
in the program Python and how to use simple<br />
machine-learning models to minimize error<br />
with multiple linear regression. I also gained<br />
insights into the strengths and weaknesses of our<br />
current forecasting abilities and the unusually<br />
active 2020 and <strong>2023</strong> hurricane seasons. I plan<br />
to extend my work with extreme weather over<br />
the next semester by researching the historical<br />
relationship between greenhouse gases and<br />
extreme weather formation.<br />
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