Feb. 13, 2024, 5:41 a.m. | Eren Gultepe Sen Wang Byron Blomquist Harindra J. S. Fernando O. Patrick Kreidl David J. Delene Ismail

cs.LG updates on arXiv.org arxiv.org

This study presents the application of generative deep learning techniques to evaluate marine fog visibility nowcasting using the FATIMA (Fog and turbulence interactions in the marine atmosphere) campaign observations collected during July 2022 in the North Atlantic in the Grand Banks area and vicinity of Sable Island (SI), northeast of Canada. The measurements were collected using the Vaisala Forward Scatter Sensor model FD70 and Weather Transmitter model WXT50, and Gill R3A ultrasonic anemometer mounted on the Research Vessel Atlantic Condor. …

application atmosphere banks campaign canada cs.lg deep learning deep learning techniques generative interactions marine nowcasting physics.ao-ph study turbulence visibility

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