Description:

^1,2Ismail Gultepe, ²Harindra J.S. Fernando, ³Andrew J. Heymsfield, and ^4,5Seong Soo Yum (Korea)

Ismail.gultepe@ontariotechu.ca & ismail.gultepe@gmail.com

¹Ontario Technical University, Eng and Appl. Sci., and ACE, Oshawa, ON, Canada

²University of Notre Dame, Civil and Env. Eng., Notre Dame, IN, USA

³NCAR Boulder, Colorado, USA

⁴Department of Atmospheric Sciences, Yonsei University, Seoul, RSK

⁵Climate and Environmental Research Institute, Korea Institute of Science and Technology (KIST), Seoul, RSK 

Fog and visibility (Vis) are important for many applications, including aviation, marine, and social life activities, as well as eco-systems which utilize fog water as a reservoir. In this session, fog related measurements, physical processes, and numerical modelling will be the main subjects. Fog intensity represented by Vis will also be a focus of this session. Furthermore, abstracts with both machine learning (ML) and/or artificial intelligence (AI) techniques for fog and Vis will be included. Topics related to observing platforms such as aircraft, UAVs, TBSs, and remote sensing, as well as surface-based microphysics, including nucleation, droplet spectra, and wind, radiation, visibility measurements over marine environments and cold climates will be considered highly relevant for this session, and abstracts on these issues and fog field campaigns are strongly encouraged.