Snow settling dynamics in atmospheric turbulence

POSTER

Abstract

The study investigates the influence of atmospheric turbulence on the settling of snowflakes through in situ imaging of snowflakes in a field of view on the order of 10 m. Previous research based on such field measurements has shown that snowflakes exhibit typical features of inertial particles in turbulence: exponential tails of acceleration probability distribution function as compared to a Gaussian distribution, occurrence of clustering and enhanced settling velocity. However, those measurements relied on either particle tracking velocimetry (PTV) or particle imaging velocimetry (PIV) with limited analysis on the interaction between turbulent flow field and the snowflakes. In the current study, we present simultaneous measurements of atmospheric turbulence from a 20 m (width) x 40 m (height) PIV field and snowflake trajectories from a 3 m x 5 m PTV field of view within the PIV domain. Our analysis demonstrates clearly the interconnection among prominent vortical structures, snowflake clustering, and settling velocity enhancement in turbulence.

*This work is supported by National Science Fundation award #1822192.

Authors

  • Jiaqi Li

    • Department of Mechanical Engineering & St. Anthony Falls Laboratory, University of Minnesota
    • University of Minnesota

  • Aliza Abraham

    • University of Minnesota

  • Michael Heisel

    • University of Minnesota

  • Filippo Coletti

    • ETH Zurich
    • University of Minnesota

  • Michele Guala

    • University of Minnesota

  • Jiarong Hong

    • Department of Mechanical Engineering & St. Anthony Falls Laboratory, University of Minnesota
    • University of Minnesota
    • University of Minneasota
    • Saint Anthony Falls Laboratory, 2 3rd AVE SE, University of Minnesota, Minneapolis, MN, USA 55414