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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/amt-2020-40
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-40
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  26 Mar 2020

26 Mar 2020

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A revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Evaluation of UV Aerosol Retrievals from an Ozone Lidar

Shi Kuang1, Bo Wang1, Michael J. Newchurch1, Paula Tucker1, Edwin W. Eloranta2, Joseph P. Garcia2, Ilya Razenkov2, John T. Sullivan3, Timothy A. Berkoff4, Guillaume Gronoff4,5, Liqiao Lei4,6, Christoph J. Senff7,8, Andrew O. Langford7, Thierry Leblanc9, and Vijay Natraj10 Shi Kuang et al.
  • 1University of Alabama in Huntsville,Huntsville, Alabama, USA
  • 2University of Wisconsin-Madison, Madison, Wisconsin, USA
  • 3NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 4NASA Langley Research Center, Hampton, Virginia, USA
  • 5Science Systems and Applications Inc., Lanham, Maryland, USA
  • 6Universities Space Research Association, Columbia, Maryland, USA
  • 7NOAA Earth System Research Laboratory, Boulder, Colorado, USA
  • 8Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
  • 9Jet Propulsion Laboratory, California Institute of Technology, Wrightwood, CA, USA
  • 10Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA

Abstract. Aerosol retrieval using ozone lidars in the ultraviolet (UV) band is challenging but necessary for correcting aerosol interference in ozone retrieval and for studying the ozone-aerosol correlations. This study describes the aerosol retrieval algorithm for a tropospheric ozone lidar, quantifies the retrieval error budget, and intercompares the aerosol retrieval products at 299 nm with those at 532 nm from a high spectral resolution lidar (HSRL). After the cloud-contaminated data is filtered out, the aerosol backscatter or extinction coefficients at a 30-m and 10-min resolution retrieved by the ozone lidar are highly correlated with the HSRL products, with a coefficient of 0.95 suggesting that the ozone lidar can reliably measure aerosol structures with high spatio-temporal resolution when the signal-to-noise ratio is sufficient. The actual uncertainties of the aerosol retrieval from the ozone lidar generally agree with our theoretical analysis. The backscatter color ratio (backscatter-related exponent of wavelength dependence) linking the coincident data measured by the two instruments at 299 and 532 nm is 1.34 ± 0.11 while the Ångström (extinction-related) exponent is 1.49 ± 0.16 for a mixture of urban and fire smoke aerosols within the troposphere above Huntsville, AL, USA.

Shi Kuang et al.

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Shi Kuang et al.

Data sets

Trospheric Ozone Lidar Network (TOLNet) Ozone Observational Data M. J. Newchurch, J. T. Sullivan, S. Kuang, and G. Chen https://doi.org/10.5067/Lidar/Ozone/TOLNet

Shi Kuang et al.

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Latest update: 21 Sep 2020
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Short summary
Ozone lidar is a state-of-art remote sensing instrument to measure atmospheric ozone concentration with high spatio-temporal resolution. In this study, we show that an ozone lidar can also provide reliably aerosol measurements with high resolution by using the collocated data taken by the ozone lidar and an aerosol lidar. This means that ozone lidars are capable of providing simultaneous ozone and aerosol measurements.
Ozone lidar is a state-of-art remote sensing instrument to measure atmospheric ozone...
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