Estimation of cloud droplet size density distribution from multiple-field-of-view lidar returns

Gilles Roy; Luc R. Bissonnette; Christian Bastille; Gilles Vallee

doi:10.1117/1.601594

1 December 1997 Estimation of cloud droplet size density distribution from multiple-field-of-view lidar returns

Gilles Roy, Luc R. Bissonnette, Christian Bastille, Gilles Vallee

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Optical Engineering, Vol. 36, Issue 12, (December 1997). https://doi.org/10.1117/1.601594

A simple model based on diffraction and geometrical optics relates the field-of-view dependent lidar signal returns from clouds to the size density distribution of their water droplets. The relation is written in a matrix form. The apparent size density distribution is obtained via matrix inversion with a constraint technique. The perturbation caused by the geometrical optics is interpreted in terms of small-particle diffraction. The apparent size density distribution is corrected for multiple scattering a posteriori. The correction is established by calculating the relative contribution of the different scattering orders to the broadening of the scattering phase function. The validity of the model is supported by Monte Carlo simulations and by experimental data performed under controlled conditions. Finally the inversion technique is applied to multiple-field-ofview (MFOV) lidar measurements from real clouds.

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Gilles Roy, Luc R. Bissonnette, Christian Bastille, and Gilles Vallee "Estimation of cloud droplet size density distribution from multiple-field-of-view lidar returns," Optical Engineering 36(12), (1 December 1997). https://doi.org/10.1117/1.601594

Published: 1 December 1997

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