Abstract
The feasibility of using the Backus-Gilbert inversion technique to recover size distributions of water droplets in clouds from laser scattering data is investigated. The set of multiparameter lidar returns that yields the best inversion is a polarized set taken at multiple scattering angles. For the type of distributions found in natural clouds, experimental noise effects are minimal, but the small size portion of the spectrum is not well recovered because of low scattered intensity and large spread in the recovery function’s resolution. However, recovery of precisely known, but less extensive distributions of cloud-sized water droplets is demonstrated for laboratory data.
Published Version
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