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Predicting Winter Fog over Complex Terrain Using Machine Learning

Semester: Spring 2024

Presentation description

Fog forms in high-elevation complex terrain as frequently as it does over bodies of water but is less understood and harder to predict. Traditional physical and numerical models have a limited ability to represent various conditions associated with fog formation. This study aims to evaluate the effectiveness of machine learning methods in predicting winter fog over complex terrain (e.g., Heber City in Utah). We will utilize ten years of surface meteorological observations.

Presenter Name: Grace Liu

Presentation Type: Poster
Presentation Format: In Person
Presentation #C24
College: Mines & Earth Sciences
School / Department: Atmospheric Sciences
Research Mentor: Zhaoxia Pu
Date | Time: Tuesday, Apr 9th | 1:00 PM