Machine learning analysis and nowcasting of marine fog visibility using FATIMA Grand Banks campaign measurements

Machine learning analysis and nowcasting of marine fog visibility using FATIMA Grand Banks campaign measurements

Introduction: This study presents the application of machine learning (ML) to evaluate marine fog visibility conditions and nowcasting of visibility based on the FATIMA (Fog and turbulence interactions in the marine atmosphere) campaign observations collected during July 2022 in the North Atlantic i...

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Bibliographic Details
Main Authors: Eren Gultepe, Sen Wang, Byron Blomquist, Harindra J. S. Fernando, O. Patrick Kreidl, David J. Delene, Ismail Gultepe
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Earth Science
Subjects:
visibility nowcasting
machine learning
artificial intelligence
marine fog
visibility
microphysics
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1321422/full

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