T-matrix modeling of linear depolarization by morphologically complex soot and...

The core information for this publication's citation.: 
Mishchenko, M., L. Liu, and D. W. Mackowski (2013), T-matrix modeling of linear depolarization by morphologically complex soot and soot-containing aerosols, J. Quant. Spectrosc. Radiat. Transfer, 123, 135-144, doi:10.1016/j.jqsrt.2012.11.012.
Abstract: 

We use state-of-the-art public-domain Fortran codes based on the T-matrix method to calculate orientation and ensemble averaged scattering matrix elements for a variety of morphologically complex black carbon (BC) and BC-containing aerosol particles, with a special emphasis on the linear depolarization ratio (LDR). We explain theoretically the quasi-Rayleigh LDR peak at side-scattering angles typical of low-density soot fractals and conclude that the measurement of this feature enables one to evaluate the compactness state of BC clusters and trace the evolution of low-density fluffy fractals into densely packed aggregates. We show that small backscattering LDRs measured with groundbased, airborne, and spaceborne lidars for fresh smoke generally agree with the values predicted theoretically for fluffy BC fractals and densely packed near-spheroidal BC aggregates. To reproduce higher lidar LDRs observed for aged smoke, one needs alternative particle models such as shape mixtures of BC spheroids or cylinders.

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Research Program: 
Radiation Science Program (RSP)