Journal article
Evaluation of UV aerosol retrievals from an ozone lidar
Atmospheric measurement techniques, Vol.13(10), pp.5277-5292
10/06/2020
DOI: 10.5194/amt-13-5277-2020
Abstract
Aerosol retrieval using ozone lidars in the ultraviolet spectral region 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) and with those at 340 nm from an AErosol RObotic NETwork radiometer. After the cloud-contaminated data are filtered out, the aerosol backscatter or extinction coefficients at 30m and 10 min resolutions 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 spatiotemporal 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 Angstrom (extinction-related) exponent is 1.49 +/- 0.16 for a mixture of urban and fire smoke aerosols within the troposphere above Huntsville, AL, USA.
Details
- Title: Subtitle
- Evaluation of UV aerosol retrievals from an ozone lidar
- Creators
- Shi Kuang - University of Alabama in HuntsvilleBo Wang - University of AlabamaMichael J. Newchurch - University of Alabama in HuntsvilleKevin Knupp - University of Alabama in HuntsvillePaula Tucker - University of Alabama in HuntsvilleEdwin W. Eloranta - University of Wisconsin–MadisonJoseph P. Garcia - University of Wisconsin–MadisonIlya Razenkov - University of Wisconsin–MadisonJohn T. Sullivan - Goddard Space Flight CenterTimothy A. Berkoff - Langley Research CenterGuillaume Gronoff - Langley Research CenterLiqiao Lei - Universities Space Research AssociationChristoph J. Senff - Cooperative Institute for Research in Environmental SciencesAndrew O. Langford - NOAA Earth System Research LaboratoryThierry Leblanc - Jet Propulsion LaboratoryVijay Natraj - Jet Propulsion Laboratory
- Resource Type
- Journal article
- Publication Details
- Atmospheric measurement techniques, Vol.13(10), pp.5277-5292
- Publisher
- Copernicus Gesellschaft Mbh
- DOI
- 10.5194/amt-13-5277-2020
- ISSN
- 1867-1381
- eISSN
- 1867-8548
- Number of pages
- 16
- Grant note
- 80NSSC19K0247; 80NSSC19K0248; 80NM0018D0004 / National Aeronautics and Space Administration; National Aeronautics & Space Administration (NASA)
- Language
- English
- Date published
- 10/06/2020
- Academic Unit
- Iowa Technology Institute
- Record Identifier
- 9984721115402771
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