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Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties

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TLDR
In this paper, a review of the optical properties of these models are discussed and some comparisons of the model with experimental measurements are presented, as well as a comparison of their experimental basis.
Abstract
: Aerosol models have been developed for the lower atmosphere. These models are representative of conditions found in rural, urban, and maritime air masses. The changes in the aerosol properties with variations in the relative humidity are discussed. To describe the aerosol optical properties in the extreme of 100 percent relative humidity, several fog models are presented. For each model the coefficients for extinction, scattering, and absorption, the angular scattering distribution, and other optical parameters have been computed for wavelengths between 0.2 and 40 microns. These aerosol models are presented together with a review of their experimental basis. The optical properties of these models are discussed and some comparisons of the model with experimental measurements are presented.

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Optical Properties of Aerosols and Clouds: The Software Package OPAC

TL;DR: In this article, the optical properties of aerosols and clouds are described, including extinction, scattering, and absorption coefficients, single scattering albedo, asymmetry parameter, and phase function.
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Light Absorption by Carbonaceous Particles: An Investigative Review

TL;DR: The optical properties of light-absorbing, carbonaceous substance often called "soot", "black carbon", or "carbon black" have been the subject of some debate as discussed by the authors.
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A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements

TL;DR: The developed algorithm is adapted for the retrieval of aerosol properties from measurements made by ground-based Sun-sky scanning radiometers used in the Aerosol Robotic Network (AERONET) and allows a choice of normal or lognormal noise assumptions.
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Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm

TL;DR: It is shown, using aerosol models, that certain assumptions regarding the spectral behavior of the aerosol reflectance employed in the standard CZCS correction algorithm are not valid over the spectral range encompassing both the visible and the NIR.
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Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer

TL;DR: In this paper, the authors used the EOS moderate resolution imaging spectroradiometer (MODIS) using dark land targets to estimate the optical thickness and columnar mass concentration of the accumulation mode.
References
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Book ChapterDOI

The Properties of Atmospheric Aerosol Particles as Functions of the Relative Humidity at Thermodynamic Equilibrium with the Surrounding Moist Air

TL;DR: In this article, the problems in aerosol measuring techniques and selection of sampling and measuring methods are addressed, and theoretic evaluation of mass, size, mean density, and mean refractive index as functions of the relative humidity is discussed.
Journal ArticleDOI

Optical properties of water in the near infrared.

TL;DR: In this paper, the real n (ν) and imaginary k(ν) parts of the complex refractive index Nˆ = n + i k of water at 27 °C have been determined from measurements of spectral reflectance at near-normal incidence and measurements of the transmittance of water in carefully constructed absorption cells.
Journal ArticleDOI

Infrared optical constants of ammonium sulfate, sahara dust, volcanic pumice, and flyash.

Frederic E. Volz
- 01 Mar 1973 - 
TL;DR: Sahara dust turns out to be the strongest absorber in the atmospheric window and Volcanic and coal-fire dust also absorb in the window region stronger than most of the earlier-investigated more normal aerosol fractions.
Journal ArticleDOI

The Aerosol Size Distribution of Los Angeles Smog

TL;DR: A total of 342 atmospheric size distributions have been measured at the California Institute of Technology in Pasadena, CA during August and September 1969 over the size range 0.003-6.8 μm using the Minnesota Aerosol Analyzing System in collaboration with other investigators making chemical, meteorological, mass, and optical measurements as discussed by the authors.
Journal ArticleDOI

Approximation Formulas for the Equilibrium Size of an Aerosol Particle as a Function of Its Dry Size and Composition and the Ambient Relative Humidity

TL;DR: In this paper, the exact equations describing the variation with relative humidity of the equilibrium size of aqueous solution droplets were developed and an expression was obtained for the size distribution of a chemically homogeneous aerosol as a function of relative humidity.
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