Simulation of the Optical Properties of Atmospheric Aerosols in the Planetary Boundary Layer (BPL)

Abstract

We report in this paper the relevant results obtained for the calculation and the retrieving of the optical properties of the particles that can constitute the atmospheric aerosols. In the first section we present the preliminary results of computations of the optical properties (extinction and backscattering) for low density dispersions of particles with an irregular shape. These particles are modelled as clusters of spheres and the calculated Lidar ratios will be compared with the other computations performed using spheres with Mie theory. The values of the lidar ratio will also constitute the data base for the interpretation of the experimental data obtained with LIDAR systems. In the second section we implemented a neural network that proved to be a useful tool for the recognition of the microphysical properties of a low density dispersion of spherical particles from the angular pattern. In future we plan to extend the algorithm to the recognition of the optical parameters for nonspherical particles. In the third section we have explored the scattering properties of the irregular shaped aerosols by means an angular analysis in the IR-VIS range aimed to compare the calculated scattering patterns with the experimental ones obtained with a two-dimensional angular optical scattering device (TAOS). More extended comments are contained in a paper that will be published in Applied Optics.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA417113

Entities

People

  • Rosalba Saija

Organizations

  • University of Messina

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Backscattering
  • Boundary Layer
  • Computational Science
  • Computations
  • Electromagnetic Scattering
  • Experimental Data
  • Forward Scattering
  • Geometry
  • Low Density
  • Neural Networks
  • Optical Properties
  • Particles
  • Refractive Index
  • Scattering
  • Simulations
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Remote Sensing.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference