Date of Award

2026

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Atmospheric and Earth Science

Committee Chair

Xiaomin Chen

Committee Member

Lawrence Carey

Committee Member

Kevin Knupp

Research Advisor

Xiaomin Chen

Subject(s)

Hurricanes, Winds--Speed--Measurement, Thermal boundary layer, Hurricane Ida (2021), Hurricane Zeta (2020), Hurricane Laura (2020)

Abstract

Accurately estimating near-surface winds during hurricane landfalls is crucial for enhancing situational awareness and facilitating post-storm recovery efforts. Previous studies have used coastal radar Velocity Azimuth Display (VAD) winds to estimate 10-m winds during hurricane landfalls; however, a notable weak bias was observed. This work demonstrates that the significant weak bias results from neglecting the wind structure within a shallow internal boundary layer (IBL). Results from an operational radar VAD analysis during the landfalls of Hurricanes Ida (2021) and Zeta (2020) indicate that leveraging the IBL winds is essential for accurate 10-m wind estimates during hurricane landfalls. Additionally, a theoretical model was developed to diagnose the depth of the logarithmic layer within the IBL. Finally, mobile research radar VAD observations during Hurricane Laura (2020) are incorporated to leverage low-level IBL winds for a high-wind landfall case. These results aim to provide valuable guidance for creating future probabilistic near-surface wind products.

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