• DOI:10.1175/JAMC-D-14-0137.1
• Corpus ID: 120452353

Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles

@article{Wood2015MicrophysicalCO,
  title={Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles},
  author={Norman B. Wood and Tristan S. L’Ecuyer and Andrew J. Heymsfield and Graeme L. Stephens},
  journal={Journal of Applied Meteorology and Climatology},
  year={2015},
  volume={54},
  pages={909-931}
}

• N. Wood, T. L’Ecuyer, +1 author G. Stephens
• Published 24 April 2015
• Environmental Science
• Journal of Applied Meteorology and Climatology

AbstractA Bayesian optimal estimation retrieval is used to determine probability density functions of snow microphysical parameters from ground-based observations taken during four snowfall events in southern Ontario, Canada. The retrieved variables include the parameters of power laws describing particle mass and horizontally projected area. The results reveal nontrivial correlations between mass and area parameters that were not apparent in prior studies. The observations provide information mainly about the mass coefficient , somewhat less information about the mass exponent and the projected area coefficient , and minimal information about the projected area exponent . The expected values for retrieved mass power-law parameters = 0.003 28 and = 2.25 are consistent with those from several prior studies that looked at the mass of aggregate-like particles and precipitating ice aloft as functions of maximum particle dimension. Differences from other studies appear related to differences in the dimensions ...