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Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle

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Aerosol backscattering profiles at lambda = 10.6 mum.

M J Post, F F Hall, R A Richter

|April 17, 2010

Summary

This summary is machine-generated.

This study presents atmospheric backscatter profiles, revealing a lognormal distribution in monthly averages. It analyzes factors like cirrus clouds and stratospheric volcanic layers influencing atmospheric conditions.

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Area of Science:

Atmospheric Science
Geophysics
Remote Sensing

Background:

Atmospheric backscatter measurements provide crucial data on aerosol and cloud properties.
Understanding vertical profiles is essential for climate modeling and atmospheric research.

Purpose of the Study:

To describe a systematic observation program for atmospheric backscatter beta profiles.
To present initial monthly average data and analyze distribution patterns.
To discuss various atmospheric phenomena influencing backscatter measurements.

Main Methods:

Systematic observation of atmospheric backscatter beta profiles.
Data collection across altitudes from 4 to 16 km above sea level.
Analysis of monthly averages and distribution characteristics.

Main Results:

Initial monthly averages of atmospheric backscatter beta profiles exhibit a lognormal distribution.
Observed phenomena include cirrus cloud prevalence and volcanic layers in the stratosphere.
Diurnal effects, convection, and absorption effects were also considered.

Conclusions:

The systematic observation program yields valuable data on atmospheric vertical structure.
Lognormal distribution suggests underlying physical processes governing backscatter.
Further research is needed to fully understand influencing factors like volcanic aerosols and clouds.