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Field Measurement of Effective Leaf Area Index using Optical Device in Vegetation Canopy
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Low and optically thin cloud measurements using a Raman-Mie lidar.

Yonghua Wu1, Shuki Chaw, Barry Gross

  • 1Optical Remote Sensing Laboratory, The City College of New York, New York, New York, USA. yhwu@ccny.cuny.edu

Applied Optics
|April 10, 2013
PubMed
Summary

Daytime measurement of low-altitude clouds is improved using Raman-elastic lidar. This technique enhances optical depth retrieval accuracy by correcting for aerosol interference, providing better insights into cloud properties.

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Area of Science:

  • Atmospheric Science
  • Cloud Physics
  • Remote Sensing

Background:

  • Accurate measurement of optically thin, low-altitude clouds during daytime is challenging.
  • Existing lidar techniques can be affected by aerosol interference, limiting retrieval accuracy.

Purpose of the Study:

  • To evaluate the capability of a Raman-elastic lidar system for daytime measurement of low-altitude optically thin clouds.
  • To improve the accuracy of low-cloud optical depth retrievals by correcting for aerosol influences.

Main Methods:

  • Utilizing nitrogen Raman and elastic-scattering returns for optical depth derivation.
  • Applying a combined Raman-elastic lidar approach to correct for aerosol effects.
  • Mapping lidar ratio profiles to assess cloud microphysical properties.

Main Results:

  • Demonstrated significant improvement in Mie retrievals of low-cloud optical depth after aerosol correction.
  • Achieved good agreement between corrected Mie retrievals and direct Raman retrievals.
  • Generated lidar ratio profiles consistent with water phase cloud models.

Conclusions:

  • Raman-elastic lidar is a viable tool for daytime measurement of low-altitude optically thin clouds.
  • Aerosol correction using combined lidar returns substantially enhances optical depth retrieval accuracy.
  • Lidar ratio variability analysis offers insights into cloud droplet distribution near cloud edges.