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The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm.

Man-Hae Kim1, Ali H Omar2, Jason L Tackett3

  • 1NASA Postdoctoral Program (USRA), Hampton, VA, USA.

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|January 11, 2020
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Summary
This summary is machine-generated.

The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) V4 data product introduces improved aerosol subtyping and lidar ratio algorithms. These updates enhance stratospheric aerosol classification and increase aerosol optical depth retrievals, reducing discrepancies with validation datasets.

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Area of Science:

  • Atmospheric Science
  • Remote Sensing
  • Aerosol Science

Background:

  • The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) provides crucial data on atmospheric aerosols.
  • Previous versions (V3) had limitations in stratospheric aerosol classification and lidar ratio selection.
  • Aerosol optical depth (AOD) is a key parameter for understanding aerosol impacts on climate and air quality.

Purpose of the Study:

  • To describe the algorithm improvements in the CALIOP V4 level 2 aerosol data products.
  • To introduce new stratospheric aerosol subtypes and enhance tropospheric aerosol classification.
  • To report the impact of these V4 updates on aerosol optical depth (AOD) retrievals and validate against external datasets.

Main Methods:

  • Implementation of a new algorithm for stratospheric aerosol subtyping, including polar stratospheric aerosol (PSA), volcanic ash, sulfate/other, and smoke.
  • Enhancements to the tropospheric aerosol subtyping algorithm, allowing all subtypes over polar regions, introducing a 'dusty marine' subtype, and renaming existing subtypes.
  • Revision of lidar ratios for several aerosol subtypes and analysis of resulting changes in AOD.

Main Results:

  • The CALIOP V4 data product features four new stratospheric aerosol subtypes.
  • Tropospheric aerosol classification is improved with new subtypes and expanded coverage over polar regions.
  • Mean 532 nm AOD increased by 52% (nighttime) and 40% (daytime) due to V4 updates, with lidar ratio revisions being the primary driver.
  • Preliminary validation shows reduced AOD discrepancies between CALIOP V4 and AERONET/MODIS (ocean).

Conclusions:

  • The CALIOP V4 aerosol data product offers significant advancements in aerosol characterization, particularly in the stratosphere.
  • Updated algorithms and lidar ratios lead to more accurate AOD retrievals.
  • These improvements enhance the reliability of CALIOP aerosol data for climate and air quality research.