Session 3A Challenges and Progress in Understanding, Simulating and Forecasting Fog

Monday, 29 January 2024: 1:45 PM-3:00 PM
328 (The Baltimore Convention Center)
Host: 16th Symposium on Aerosol Cloud Climate Interactions
Cochairs:
Hamish Gordon, Carnegie Mellon University, Pittsburgh, PA; Hyun Kang, ORNL, Oak Ridge, TN and Wei Zhang, ORNL, OAK RIDGE, TN

The prediction of the timing of the onset, progression and dispersal of fog has been a long-standing challenge in the numerical weather prediction community, despite its immediate societal impacts through visibility conditions and broad impacts on aviation, coastal ecology, agriculture, energy and public health. The simulation of fog by current numerical weather prediction models suffers from significant biases not only in its broad lifecycle features but also its microphysical characteristics (like cloud droplet number concentration, liquid water content) that directly impact visibility metrics. These deficiencies are associated with complex interactions of myriad physical processes involved in fog formation and evolution by different pathways like stratus lowering and radiation fog in different types of marine, coastal and continental fog. The involved processes include aerosol emissions, aerosol and cloud microphysics, radiation processes, boundary layer mixing processes, large scale dynamical environmental forcings, varied topography and land-atmosphere interactions. Recent works suggest that improvements in the model representation of these processes enhance different attributes of fog simulation and prediction. Further, the impact of climate change in driving long term trends in fog formation and its lifecycle over different regions remains an open research question.

 

We invite submissions relevant to all these broad-ranging aspects of fog simulation including intensive observational studies, field experiments, and satellite and lidar detection methods. We also welcome discussion of varied numerical formulations and parameterization schemes of processes involved, new mathematical or computational techniques such as machine learning, multi-scale numerical model simulations (DNS to mesoscale to high resolution global models) that exploit modern hybrid computer architecture, model validation metrics and societal impacts. Recent field experiments relating to fog such as C-FOG, FATIMA, SOFOG and WIFEX have emphasised the importance of aerosols in influencing fog thickness and development. The effects of aerosol absorption and radiative cooling on fog are attracting particular interest. We welcome presentations that address these issues. We hope to assemble the current state of understanding on fog simulation and prediction. Our goal is to help identify and scope out future research directions to attain more accurate fog predictions across different regions of the globe.

Papers:
1:45 PM
3A.1
Relating Fog Droplets, Sources, and Aerosols in the Atlantic and the Central Arctic
Rachel Chang, Dalhousie Univ., Halifax, Canada; and J. Dionne, B. Nagare, G. Giacosa, L. Robinson, F. Merrick, P. Gauvin-Bourdon, C. Power, A. Wiacek, C. Young, W. Gong, L. Salehpoor, L. Crilley, T. C. VandenBoer, E. D. Creegan, and H. J. Fernando

2:30 PM
3A.3
The Role of Cloud Condensation Nuclei in Fog Modeling
Pohema de Jesus Gonzalez-Viveros Pohe, Universidad Nacional Autónoma de México, UNAM, Mexíco D. F., Mexico; and F. García-García and E. Caetano

2:45 PM
3A.4
Simulating Aerosol Activation in Stratus Lowering Fog Observed During C-FOG
Noah Asch, Carnegie Mellon Univ., Pittsburgh, PA; and P. Ghosh, S. Mahajan, W. Zhang, H. Kang, K. J. Evans, and H. Gordon

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