Fairbanks ice fog

What? Assessment of trends in ice fog occurrence over a ~70y time period as part of a project on ice fog microphysical properties in Fairbanks. Why? Ice fog ocurrs at very cold temperatures, particularly if there are plentiful pollution particles and water vapor in the near surface atmosphere. It causes problems for vehicular and air traffic and understanding more about when and why it forms can help improve predictions. Summary: Ice fog happens less often and is, on average, less persistent now than in the past. The reduction is related to fewer days with cold temperatures, but changes in air pollution and other local factors likely also play an important role. Favourable synoptic conditions and upper level weather patterns are necessary for ice fog formation and it would be interesting to assess in more detail how atmospheric conditions at different heights affect ice fog formation in the boundary layer. More study needed! Some aspects of this are discussed in papers from the same project led by Carl Schmitt!

This was part of an ERDC grant on Secure and Resilient Power Generation in Cold Region Environments/T3 Atmosphere Energy Interaction led by M. Stuefer and C. Schmitt.

Hartl, L., Schmitt, C., Wong, T., Vas, D.A., Enterkin, L., Stuefer, M. (2023) Long term trends in ice fog occurrence in the Fairbanks, Alaska, region based on airport observations. Journal of Applied Meteorlogy and Climatology, vol. 62, no. 9, 1263–1278, https://doi.org/10.1175/JAMC-D-22-0190.1

Schmitt, C. G., Vas, D., Schnaiter, M., Järvinen, E., Hartl, L., Wong, T., Cassella, V., and Stuefer, M., (2024) Microphysical characterization of boundary layer ice particles: results from a 3-year measurement campaign in interior Alaska. J. Appl. Meteor. Climatol., 63, 699–716, https://doi.org/10.1175/JAMC-D-23-0190.1.

Schmitt, C. G., Järvinen, E., Schnaiter, M., Vas, D., Hartl, L., Wong, T., and Stuefer, M. (2024) Classification of ice particle shapes using machine learning on forward light scattering images. Artif. Intell. Earth Syst., https://doi.org/10.1175/AIES-D-23-0091.1, in press.