%0 Journal article %A Kaestner, Christian %A Schneider, Julien David %A du Puits, Ronald %T Evolution and Features of Dust Devil‐Like Vortices in Turbulent Rayleigh‐Bénard Convection—An Experimental Study %R 10.1029/2022JD037466 %J Journal of Geophysical Research: Atmospheres %V 128 %N 2 %I %X We present an experimental study simulating atmospheric dust devils in a controlled laboratory experiment. The experimental facility, called the “Barrel of Ilmenau” (www.ilmenauer-fass.de) represents a classical Rayleigh‐Bénard set‐up and is believed to model the phenomena in a convective atmospheric boundary layer fairly well. Our work complements and extends the numerical work of Giersch and Raasch (2021)https//doi.org/10.1029/2020jd034334 by experiments. Dust devils are thermal convective vortices with a vertical axis of rotation visualized by entrained soil particles. They evolve in the convective atmospheric boundary layer and are believed to substantially contribute to the aerosol transport into the atmosphere. Thus, their evolution, size, lifetime, and frequency of occurrence are of particular research interest. Extensive experimental studies have been conducted by field measurements and laboratory experiments so far. Beyond that, our study is the first attempt of Rayleigh‐Bénard convection (RBC) in air to investigate dust devil‐like vortices in a laboratory experiment. Up to now, this set‐up mimics the natural process of dust devil evolution as closest to reality. The flow measurement was carried out by particle tracking velocimetry using neutrally buoyant soap bubbles. We initially identified dust devil‐like vortices by eye from the Lagrangian velocity field, and in a later, more sophisticated analysis by a specific algorithm from the corresponding Eulerian velocity field. We analyzed their frequency of occurrence, observation time, and size. With our work, we could demonstrate that turbulent RBC is an appropriate model to mimic the natural process of the evolution of dust devils in the convective atmospheric boundary layer without artificial stimulation. %U http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/11389 %~ FID GEO-LEO e-docs