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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Detalhes bibliográficos
Principais autores: Eren Gultepe, Sen Wang, Byron Blomquist, Harindra J. S. Fernando, O. Patrick Kreidl, David J. Delene, Ismail Gultepe
Formato: Artigo
Idioma:English
Publicado em: Frontiers Media S.A. 2024-02-01
coleção:Frontiers in Earth Science
Assuntos:
visibility nowcasting
machine learning
artificial intelligence
marine fog
visibility
microphysics
Acesso em linha:https://www.frontiersin.org/articles/10.3389/feart.2023.1321422/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1321422/full

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