05.12.2023 Views

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 />

94

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