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Kim MH, Omar AH, Tackett JL, et al. The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm. Atmos Meas Tech. 2018;11(11):6107-6135doi: 10.5194/amt-11-6107-2018.
Kim, M. H., Omar, A. H., Tackett, J. L., Vaughan, M. A., Winker, D. M., Trepte, C. R., Hu, Y., Liu, Z., Poole, L. R., Pitts, M. C., Kar, J., & Magill, B. E. (2018). The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm. Atmospheric measurement techniques, 11(11), 6107-6135. https://doi.org/10.5194/amt-11-6107-2018
Kim, Man-Hae, et al. "The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm." Atmospheric measurement techniques vol. 11,11 (2018): 6107-6135. doi: https://doi.org/10.5194/amt-11-6107-2018
Kim MH, Omar AH, Tackett JL, Vaughan MA, Winker DM, Trepte CR, Hu Y, Liu Z, Poole LR, Pitts MC, Kar J, Magill BE. The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm. Atmos Meas Tech. 2018;11(11):6107-6135. doi: 10.5194/amt-11-6107-2018. PMID: 31921372; PMCID: PMC6951257.
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Atmos Meas Tech. 2018;11(11):6107-6135. doi: 10.5194/amt-11-6107-2018.

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

Atmospheric measurement techniques

Man-Hae Kim, Ali H Omar, Jason L Tackett, Mark A Vaughan, David M Winker, Charles R Trepte, Yongxiang Hu, Zhaoyan Liu, Lamont R Poole, Michael C Pitts, Jayanta Kar, Brian E Magill

Affiliations

  1. NASA Postdoctoral Program (USRA), Hampton, VA, USA.
  2. NASA Langley Research Center, Hampton, VA, USA.
  3. Science Systems and Applications, Inc., Hampton, VA, USA.

PMID: 31921372 PMCID: PMC6951257 DOI: 10.5194/amt-11-6107-2018

Abstract

The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) version 4.10 (V4) level 2 aerosol data products, released in November 2016, include substantial improvements to the aerosol subtyping and lidar ratio selection algorithms. These improvements are described along with resulting changes in aerosol optical depth (AOD). The most fundamental change in V4 level 2 aerosol products is a new algorithm to identify aerosol subtypes in the stratosphere. Four aerosol subtypes are introduced for the stratospheric aerosols: polar stratospheric aerosol (PSA), volcanic ash, sulfate/other, and smoke. The tropospheric aerosol subtyping algorithm was also improved by adding the following enhancements: (1) all aerosol subtypes are now allowed over polar regions, whereas the version 3 (V3) algorithm allowed only clean continental and polluted continental aerosols; (2) a new "dusty marine" aerosol subtype is introduced, representing mixtures of dust and marine aerosols near the ocean surface; and (3) the "polluted continental" and "smoke" subtypes have been renamed "polluted continental/smoke" and "elevated smoke", respectively. V4 also revises the lidar ratios for clean marine, dust, clean continental, and elevated smoke subtypes. As a consequence of the V4 updates, the mean 532 nm AOD retrieved by CALIOP has increased by 0.044 (0.036) or 52 % (40 %) for nighttime (daytime). Lidar ratio revisions are the most influential factor for AOD changes from V3 to V4, especially for cloud-free skies. Preliminary validation studies show that the AOD discrepancies between CALIOP and AERONET/MODIS (ocean) are reduced in V4 compared to V3.

References

  1. Opt Express. 2011 Sep 12;19(19):18696-706 - PubMed
  2. J Geophys Res Atmos. 2017 Jan 27;122(2):1098-1113 - PubMed
  3. Environ Pollut. 2017 Nov;230:1030-1039 - PubMed
  4. Appl Opt. 1991 Jan 1;30(1):127-38 - PubMed
  5. Appl Opt. 2002 May 20;41(15):2760-7 - PubMed
  6. Science. 2012 Jul 6;337(6090):78-81 - PubMed

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