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Visualization of Ambient Mass Spectrometry with the Use of Schlieren Photography
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Published on: June 20, 2016

Direct multiangle solution for poorly stratified atmospheres.

Vladimir Kovalev1, Cyle Wold, Alexander Petkov

  • 1Forest Service, U.S. Department of Agriculture, Fire Sciences Laboratory, 5775 Hwy 10 West, Missoula, Montana 59808, USA. vkovalev@fs.fed.us

Applied Optics
|September 5, 2012
PubMed
Summary
This summary is machine-generated.

This study enhances lidar data inversion accuracy for atmospheric aerosols, even in non-stratified conditions. Multiangle lidar signals improve vertical transmittance profile retrieval from zenith measurements.

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Area of Science:

  • Atmospheric optics
  • Remote sensing
  • Lidar technology

Background:

  • Accurate atmospheric aerosol loading characterization is crucial for climate and air quality studies.
  • Traditional lidar inversion methods often assume horizontally stratified atmospheres, limiting accuracy in heterogeneous conditions.
  • Extracting vertical transmittance profiles is essential for atmospheric remote sensing.

Purpose of the Study:

  • To improve the accuracy of scanning lidar data inversion, particularly when the horizontally stratified atmosphere assumption is not met.
  • To develop a method for extracting vertical transmittance profiles using multiangle lidar signals.
  • To address ambiguities in multiangle lidar measurements within horizontally heterogeneous atmospheres.

Main Methods:

  • Utilizing a direct multiangle solution for lidar data inversion.
  • Employing zenith or near-zenith lidar signals as the primary data source for optical characteristics.
  • Using auxiliary multiangle lidar signals to refine vertical transmittance profile retrieval.
  • Developing retrieval methodologies to mitigate ambiguities in heterogeneous atmospheric conditions.

Main Results:

  • Demonstrated improved lidar data inversion accuracy in non-stratified atmospheric conditions.
  • Successfully extracted vertical transmittance profiles by combining zenith and multiangle lidar data.
  • Presented simulated and experimental elastic lidar data validating the data-processing technique.
  • Addressed and softened specific ambiguities inherent in multiangle measurements.

Conclusions:

  • The direct multiangle solution offers enhanced accuracy for lidar data inversion in challenging atmospheric conditions.
  • Multiangle lidar measurements are valuable for improving vertical transmittance profile retrieval.
  • The presented methodology effectively handles ambiguities in heterogeneous atmospheres.
  • Future research should explore high-spectral-resolution lidar in multiangle mode for advanced atmospheric studies.