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Related Experiment Video

Updated: Jun 7, 2026

$Measuring Spray Droplet Size from Agricultural Nozzles Using Laser Diffraction$

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

Y Benayahu, A Ben-David, S Fastig

|November 2, 2010

Summary

This summary is machine-generated.

This study introduces a new lidar method to determine cloud droplet size distribution. By analyzing laser backscattering and multiple scattering, it accurately calculates droplet sizes in atmospheric clouds.

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Area of Science:

Atmospheric optics
Cloud physics
Laser remote sensing

Background:

Accurate measurement of cloud droplet size distribution is crucial for understanding cloud properties and climate.
Traditional methods for cloud droplet size measurement have limitations in resolution and scope.

Purpose of the Study:

To present a novel lidar-based method for calculating atmospheric cloud droplet-size distribution.
To utilize laser backscattering and multiple scattering measurements for enhanced cloud characterization.

Main Methods:

Employing a Nd:YAG laser lidar system with detectors for single and double scattering.
Measuring backscattering (primarily single scattering) along the laser beam path.
Measuring multiple scattering (primarily double scattering) at a specific angle to the laser beam, analyzing its angular domain change with penetration depth.

Main Results:

Deriving the double-scattering phase function from the measured double-scattering signal as a function of cloud penetration depth.
Successfully inverting the phase function to obtain cloud droplet-size distribution.
Demonstrating the method's capability to determine droplet size distribution in the form of a log-normal function.

Conclusions:

The presented lidar method offers a viable approach for determining cloud droplet-size distribution.
The combined analysis of single and multiple scattering provides a more comprehensive characterization of cloud microphysical properties.
This technique has potential applications in atmospheric research and climate modeling.