Articles | Volume 15, issue 8
https://doi.org/10.5194/amt-15-2465-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2465-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Apr 2022
Research article |
| 22 Apr 2022
| 22 Apr 2022
Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system
Liqiao Lei
CORRESPONDING AUTHOR
Universities Space Research Association, 7178 Columbia Gateway Drive,
Columbia, MD 21046, USA
NASA Langley Research Center, 1 Nasa Dr, Hampton, VA 23666, USA
Timothy A. Berkoff
NASA Langley Research Center, 1 Nasa Dr, Hampton, VA 23666, USA
Guillaume Gronoff
NASA Langley Research Center, 1 Nasa Dr, Hampton, VA 23666, USA
Science Systems and Applications, 1 Enterprise Pkwy, Hampton, VA
23666, USA
Jia Su
Center for Atmospheric Sciences, Department of Atmospheric and Planetary Sciences, Hampton University, 100 E Queen St, Hampton, VA 23669, USA
Amin R. Nehrir
NASA Langley Research Center, 1 Nasa Dr, Hampton, VA 23666, USA
Yonghua Wu
Optical Remote Sensing Lab, City College of New York (CCNY), 160 Convent Avenue, New York, NY 10031,
USA
NOAA–CESSRST (Cooperative Science Center for Earth System Sciences and
Remote Sensing Technologies), 140th Street at Convent Avenue, New York, NY
10031, USA
Fred Moshary
Optical Remote Sensing Lab, City College of New York (CCNY), 160 Convent Avenue, New York, NY 10031,
USA
NOAA–CESSRST (Cooperative Science Center for Earth System Sciences and
Remote Sensing Technologies), 140th Street at Convent Avenue, New York, NY
10031, USA
Shi Kuang
Earth System Science Center, The University of Alabama in Huntsville,
320 Sparkman Drive, Huntsville, AL 35805, USA
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Richard Ferrare, Johnathan Hair, Taylor Shingler, Chris Hostetler, Amin Nehrir, Marta Fenn, Amy Jo Scarino, Sharon Burton, Marian Clayton, James Collins, Laura Judd, James Crawford, Katherine Travis, Travis Toth, Pablo Saide, Jose Luis Jimenez, Pedro Campuzano-Jost, Guy Symonds, Richard Moore, Luke Ziemba, Michael Shook, Glenn Diskin, Joshua P. DiGangi, Ryan Bennett, Chia-Hsiang Ho, Lim-Seok Chang, Adisak Aiampisanuvong, and Ittipol Pawarmart
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Nora Mettig, Mark Weber, Alexei Rozanov, John P. Burrows, Pepijn Veefkind, Anne M. Thompson, Ryan M. Stauffer, Thierry Leblanc, Gerard Ancellet, Michael J. Newchurch, Shi Kuang, Rigel Kivi, Matthew B. Tully, Roeland Van Malderen, Ankie Piters, Bogumil Kois, René Stübi, and Pavla Skrivankova
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Vertical ozone profiles from combined spectral measurements in the UV and IR spectral ranges were retrieved by using data from TROPOMI/S5P and CrIS/Suomi-NPP. The vertical resolution and accuracy of the ozone profiles are improved by combining both wavelength ranges compared to retrievals limited to UV or IR spectral data only. The advancement of our TOPAS algorithm for combined measurements is required because in the UV-only retrieval the vertical resolution in the troposphere is very limited.
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HALO is a recently developed lidar system that demonstrates new technologies and advanced algorithms for profiling water vapor as well as aerosol and cloud properties. The high-resolution, high-accuracy measurements have unique advantages within the suite of atmospheric instrumentation, such as directly trading water vapor measurement resolution for precision. This paper provides the methodology and first water vapor results, showing agreement with in situ and spaceborne sounder measurements.
Siqi Ma, Daniel Tong, Lok Lamsal, Julian Wang, Xuelei Zhang, Youhua Tang, Rick Saylor, Tianfeng Chai, Pius Lee, Patrick Campbell, Barry Baker, Shobha Kondragunta, Laura Judd, Timothy A. Berkoff, Scott J. Janz, and Ivanka Stajner
Atmos. Chem. Phys., 21, 16531–16553, https://doi.org/10.5194/acp-21-16531-2021, https://doi.org/10.5194/acp-21-16531-2021, 2021
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Predicting high ozone gets more challenging as urban emissions decrease. How can different techniques be used to foretell the quality of air to better protect human health? We tested four techniques with the CMAQ model against observations during a field campaign over New York City. The new system proves to better predict the magnitude and timing of high ozone. These approaches can be extended to other regions to improve the predictability of high-O3 episodes in contemporary urban environments.
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Short summary
Aerosol extinction in the UVB (280–315 nm) is difficult to retrieve using simple lidar techniques due to the lack of lidar ratios at those wavelengths. The 2018 Long Island Sound Tropospheric Ozone Study (LISTOS) in the New York City region provided the opportunity to characterize the lidar ratio for UVB aerosol retrieval for the Langley Mobile Ozone Lidar (LMOL). A 292 nm aerosol product comparison between the NASA Langley High Altitude Lidar Observatory (HALO) and LMOL was also carried out.
Aerosol extinction in the UVB (280–315 nm) is difficult to retrieve using simple lidar...
