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Image-based Lagrangian Particle Tracking in Bed-load Experiments
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In situ cloud particle tracking experiment.

G Bertens1, G Bagheri1, H Xu2

  • 1Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany.

The Review of Scientific Instruments
|January 1, 2022
PubMed
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This study introduces a novel experimental setup for tracking cloud droplets in turbulence. The new method provides crucial data on droplet interactions and clustering, improving our understanding of cloud formation.

Area of Science:

  • Atmospheric science
  • Fluid dynamics
  • Cloud physics

Background:

  • The collision-coalescence process drives rapid cloud droplet growth but remains poorly understood.
  • Turbulence influences cloud droplets by enhancing proximity and causing accelerations, complicating numerical and laboratory studies.
  • In situ measurements are essential due to the vast range of scales in atmospheric turbulence.

Purpose of the Study:

  • To present a novel Lagrangian particle tracking (LPT) experimental setup for in situ measurements of cloud droplet dynamics in turbulence.
  • To investigate turbulence-cloud droplet interactions, including clustering and relative velocity distributions.
  • To provide accurate data for validating theoretical models of droplet growth.

Main Methods:

  • Developed and deployed a high-resolution (5 µm, 0.1 ms) LPT experiment at 2650 m altitude.

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  • Incorporated a linear motor for mean wind compensation, enabling extended particle track durations.
  • Measured droplet accelerations with high precision (0.1 m s⁻²).

    • Main Results:

    • Presented the radial distribution function to quantify droplet clustering.
    • Computed the longitudinal relative velocity distribution of cloud droplets.
    • Derived the Lagrangian velocity autocorrelation from extensive droplet trajectories.

    Conclusions:

    • The developed LPT system offers unprecedented in situ data on turbulence-cloud droplet interactions.
    • The findings contribute to a better understanding of the collision-coalescence process in cloud formation.
    • This experimental approach is vital for advancing cloud physics research.