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Large particle number limit in rain.

S Lovejoy1, M Lilley, N Desaulniers-Soucy

  • 1Department of Physics, McGill University, 3600 University St., Montreal, Qc Canada H3A-2T8. lovejoy@physics.mcgill.ca

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 4, 2003
PubMed
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Rainfall is not a uniform continuum as assumed. New research shows rain is a complex, multifractal discontinuum, challenging traditional meteorological and hydrological models.

Area of Science:

  • Meteorology and Hydrology
  • Fluid Dynamics
  • Statistical Physics

Background:

  • Understanding rainfall is crucial for accurate weather modeling and data interpretation.
  • Current models often assume rainfall behaves as a homogeneous continuum.
  • Empirical data on raindrop distribution is essential to validate these assumptions.

Purpose of the Study:

  • To investigate the microscale-to-macroscale behavior of raindrops.
  • To determine if rainfall exhibits continuum properties at larger scales.
  • To challenge the classical continuum hypothesis in rain.

Main Methods:

  • Utilized stereophotographic data to capture raindrop positions and volumes.
  • Analyzed drop statistics within spheres of increasing size.

Related Experiment Videos

  • Performed a continuum mechanics thought experiment on empirical data.

    • Main Results:

    • No microscale-macroscale separation was observed, likely due to turbulence.
    • Rainfall does not approach a homogeneous continuum at large particle number limits.
    • Rainfall exhibits nonclassical, strongly inhomogeneous, multifractal properties.

    Conclusions:

    • The classical continuum model for rainfall is inadequate.
    • Rainfall's complex, multifractal nature must be considered in future models.
    • This finding has significant implications for meteorology, hydrology, and climate science.