Aerosols emitted from wildfires are becoming one of the main sources of poor air quality on the US mainland. Their extinction in UVB (the wavelength range from 280 to 315 nm) is difficult to retrieve using simple lidar techniques because of the impact of ozone (O-3) absorption and the lack of information about the lidar ratios at those wavelengths. Improving the characterization of lidar ratios at the above-mentioned wavelengths will enable aerosol monitoring with different instruments and will also permit the correction of the aerosol impact on O-3 lidar data. The 2018 Long Island Sound Tropospheric Ozone Study (LISTOS) campaign in the New York City region utilized a comprehensive set of instruments that enabled the characterization of the lidar ratio for UVB aerosol retrieval. The NASA Langley High Altitude Lidar Observatory (HALO) produced the 532 nm aerosol extinction product along with the lidar ratio for this wavelength using a high-spectral-resolution technique. The Langley Mobile Ozone Lidar (LMOL) is able to compute the extinction provided that it has the lidar ratio at 292 nm. The lidar ratio at 292 nm and the Angstrom exponent (AE) between 292 and 532 nm for the aerosols were retrieved by comparing the two observations using an optimization technique. We evaluate the aerosol extinction error due to the selection of these parameters, usually done empirically for 292 nm lasers. This is the first known 292 nm aerosol product intercomparison between HALO and Tropospheric Ozone Lidar Network (TOLNet) O-3 lidar. It also provides the characterization of the UVB optical properties of aerosols in the lower troposphere affected by transported wildfire emissions.
Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system
Abstract
Details
- Title: Subtitle
- Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system
- Creators
- Liqiao Lei - Universities Space Research AssociationTimothy A. Berkoff - Langley Research CenterGuillaume Gronoff - Science Systems and ApplicationsJia Su - Hampton UniversityAmin R. Nehrir - Langley Research CenterYonghua Wu - City College of New YorkFred Mochary - City College of New YorkShi Kuang - University of Alabama in Huntsville
- Resource Type
- Journal article
- Publication Details
- Atmospheric Measurement Techiques, Vol.15(8), pp.2465-2478
- Publisher
- European Geosciences Union; GOTTINGEN
- DOI
- 10.5194/amt-15-2465-2022
- ISSN
- 1867-1381
- eISSN
- 1867-8548
- Grant note
- New York State Energy Resources Development Authority: 137482 NESCAUM: 2411, 2417 NOAA-CESSRST: NA16SEC4810008
Postdoctoral Program, which enabled this study. LMOL and HALO lidar participation in the LISTOS campaign was made possible by funding from the NASA Tropospheric Composition Program. We gratefully acknowledge William Carrion and Joseph Sparrow for LMOL operational support and the Connecticut Department of Energy and Environmental Protection for providing site support that enabled LMOL operations at theWestport location. The HALO team acknowledges support from the Langley Research Center Research Services Division for the operation and maintenance of the King Air B200 aircraft for the duration of the LISTOS campaign. The authors are grateful to Susan Kooi and James Collins for their contribution to analysis and archiving of the HALO HSRL data set, James Szykman and Travis Knepp forWestport ceilometer data, and Daniel B. Phoenix for his valuable comments and his help with editing the manuscript. Yonghua Wu and Fred Moshary are supported by the New York State Energy Resources Development Authority (grant no. 137482), NESCAUM (grant nos. 2411 and 2417), and NOAA-CESSRST (under cooperative agreement grant no. NA16SEC4810008).
- Language
- English
- Date published
- 04/22/2022
- Description audience
- PUBLIC
- Academic Unit
- Iowa Technology Institute
- Record Identifier
- 9984721218402771