Identification of cloud phase from PICASSO-CENA lidar depolarization: a multiple scattering sensitivity study
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A fast Monte Carlo simulation scheme is developed to assess the impact of multiple scattering on space-based lidar backscattering depolarization measurements. The specific application of our methodology is to determine cloud thermodynamic phase from satellite-based lidar depolarization measurements. Model results indicate that multiple scattering significantly depolarizes backscatter return from water clouds. Multiple scattering depolarization is less significant for non-spherical particles. There are sharp contrasts in the depolarization profile between a layer of spherical particles and a layer of non-spherical particles. Although it is not as obvious as ground-based lidar observations, it is likely that we can identify cloud phase not only for a uniform cloud layer, but also for overlapping cloud layers where one layer contains ice and the other water droplets. 2001 Elsevier Science Ltd. All rights reserved.
Journal of Quantitative Spectroscopy and Radiative Transfer
author list (cited authors)
Hu, Y., Winker, D., Yang, P., Baum, B., Poole, L., & Vann, L