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Journal ArticleDOI

Cloud-droplet-size distribution from lidar multiple-scattering measurements.

TLDR
A method for calculating droplet-size distribution in atmospheric clouds is presented, based on measurement of laser backscattering and multiple scattering from water clouds, which results in a cloud-droplet- size distribution in the form of a log-normal function.
Abstract
A method for calculating droplet-size distribution in atmospheric clouds is presented, based on measurement of laser backscattering and multiple scattering from water clouds. The lidar uses a Nd:YAG laser that emits short pulses at a moderate repetition rate. The backscattering, which is composed mainly of single scattering, is measured with a detector pointing along the laser beam. The multiple scattering, which is mainly double scattering, is measured with a second detector, pointing at a specified angle to the laser beam. The domain of scattering angles that contribute to the doublescattering signal increases monotonically as the pulse penetrates the cloud. The water droplets within the probed volume are assumed to have a constant size distribution. Hence, from the double-scatteringmeasured signal as a function of penetration depth within the cloud, the double-scattering phase function of the scattering volume is derived. Inverting the phase function results in a cloud-droplet-size distribution in the form of a log-normal function.

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Citations
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Journal ArticleDOI

Light scattering for particle characterization

TL;DR: In this article, the authors review the status of elastic light scattering, focusing on recent developments, rather than being over-repetitive of earlier reviews, but considerable background is included with the aim of making the paper self-contained.
Journal ArticleDOI

Electrochemistry of immobilised redox droplets: Concepts and applications

TL;DR: In this paper, the voltammetry of electrodes modified with electrochemically active droplets is reviewed, where electron transfer processes occur at the three phase boundary, the base circumference of the individual droplets.
Journal ArticleDOI

Retrieval of Droplet size Density Distribution from Multiple field of view Cross polarized Lidar Signals: Theory and Experimental Validation

TL;DR: Multiple-field-of-view secondary-polarization lidar signals are used to calculate the particle-size density distribution (PSD) at the base of a cloud, and a mathematical relation among the PSD, the lidar fields of view, the scattering angles, and the angular depolarization is derived.
Journal ArticleDOI

Analysis techniques for the recovery of winds and backscatter coefficients from a multiple-channel incoherent Doppler lidar

TL;DR: A nonlinear least-squares inversion method is described that permits the recovery of Doppler shift and aerosol backscatter without requiring assumptions about the molecular component of the signal.
References
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Journal ArticleDOI

Stable analytical inversion solution for processing lidar returns

TL;DR: A simple analytical method is presented that shows some potential for application to the problem of extracting attenuation and backscatter coefficients in an inhomogeneous atmosphere from the return signal of a monostatic single-wavelength lidar system.
Journal ArticleDOI

Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part I: Theory

TL;DR: In this paper, a method for determining the optical thickness and effective particle radius of stratiform cloud layers from reflected solar radiation measurements is presented, which can be used to determine the droplet radius at some optical depth within the cloud layer.
Journal ArticleDOI

Polarization anisotropy in lidar multiple scattering from atmospheric clouds

TL;DR: Results of Mie scattering calculations are summarized which show that the observed polarization anisotropy originates directly from the polarization properties of the single scattering from spherical particles.
Journal ArticleDOI

Inversion of optical scattering and spectral extinction measurements to recover aerosol size spectra

TL;DR: The application of linear constrained inversion on simulated noise-degraded data successfully recovers major features, such as the presence of modes, in the aerosol size distribution function.
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