Forecasting Advective Sea Fog With the Use of Classification and Regression Tree Analyses for Kunsan Air Base
Danielle M Lewis
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Forecasting Advective Sea Fog With the Use of Classification and Regression Tree Analyses for Kunsan Air Base

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Advective sea fog frequently plagues Kunsan Air Base (AB), Republic of Korea, in the spring and summer seasons. It is responsible for a variety of impacts on military operations, the greatest being to aviation. To date, there are no suitable methods developed for forecasting advective sea fog at Kunsan, primarily due to a lack of understanding of sea fog formation under various synoptic situations over the Yellow Sea. This work explored the feasibility of predicting sea fog development with a 24-hour forecast lead time. Before exploratory data analysis was performed, a geographical introductio...