Fog clearing in the lee of an isolated, flat island: A fog shadow

Abstract This study investigates the phenomenon of fog clearing in the lee of Sable Island, Nova Scotia, termed a “fog shadow”, using observations from the 2022 Fog And Turbulence Interactions in the Marine Atmosphere field experiment and Coupled Ocean–Atmosphere Mesoscale Prediction System numerical weather prediction model. The fog shadow occurs when a shallow layer of marine fog dissipates downstream of this low‐elevation island due to surface heating and turbulent mixing. Analysis focuses on two cases: July 24, 2022, when a fog shadow was both predicted and observed through multiple platforms, including satellite imagery, and July 26, 2022, when the model erroneously forecast a fog shadow. Though the model successfully predicted some fog shadow events, it consistently overestimated surface heat fluxes over the island, leading to excessive fog dissipation in forecasts. The study reveals that fog shadows can form when sufficient surface heating combines with turbulent mixing to erode shallow fog layers, though the precise mechanisms and conditions required remain to be fully understood. These findings highlight the challenges in accurately modeling air–sea interactions and fog evolution around small islands, suggesting several areas for model improvement, including enhanced resolution, better surface flux parameterizations, and more sophisticated turbulence schemes.

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Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2025-08-08
DOI
https://doi.org/10.1002/qj.5057
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.30
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article

Fog clearing in the lee of an isolated, flat island: A fog shadow

Peter A. Taylor, Nicholas J. Gapp, S. Gaberšek, Sebastian W. Hoch et al.
1 citations
Quarterly Journal of the Royal Meteorological Society
Meteorological Phenomena and Simulations
1.30
article

Fog clearing in the lee of an isolated, flat island: A fog shadow

Peter A. Taylor, Nicholas J. Gapp, S. Gaberšek, Sebastian W. Hoch, Eric R. Pardyjak, Harindra J. S. Fernando, Stef L. Bardoel, Clive E. Dorman, Jesus Ruiz‐Plancarte, David G. Ortiz‐Suslow, E. Creegan, Ismail Gültepe, Qing Wang
article en
1 citations

Abstract

Abstract This study investigates the phenomenon of fog clearing in the lee of Sable Island, Nova Scotia, termed a “fog shadow”, using observations from the 2022 Fog And Turbulence Interactions in the Marine Atmosphere field experiment and Coupled Ocean–Atmosphere Mesoscale Prediction System numerical weather prediction model. The fog shadow occurs when a shallow layer of marine fog dissipates downstream of this low‐elevation island due to surface heating and turbulent mixing. Analysis focuses on two cases: July 24, 2022, when a fog shadow was both predicted and observed through multiple platforms, including satellite imagery, and July 26, 2022, when the model erroneously forecast a fog shadow. Though the model successfully predicted some fog shadow events, it consistently overestimated surface heat fluxes over the island, leading to excessive fog dissipation in forecasts. The study reveals that fog shadows can form when sufficient surface heating combines with turbulent mixing to erode shallow fog layers, though the precise mechanisms and conditions required remain to be fully understood. These findings highlight the challenges in accurately modeling air–sea interactions and fog evolution around small islands, suggesting several areas for model improvement, including enhanced resolution, better surface flux parameterizations, and more sophisticated turbulence schemes.

Quarterly Journal of the Royal Meteorological SocietyVol. 151(773)
University of Notre Dame (US), NSF National Center for Atmospheric Research (US), Scripps Institution of Oceanography (US), York University (CA), University of Utah (US), United States Army Combat Capabilities Development Command (US), Naval Postgraduate School (US), University of California San Diego (US), Ontario Tech University (CA), Laboratoire des Écoulements Géophysiques et Industriels (FR), University of Turkish Aeronautical Association (TR), Université Grenoble Alpes (FR)
Life below water
Openalex Percentile: Top 19%
Meteorological Phenomena and Simulations
1.30
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