Literature DB >> 23736241

Ground-based lidar for atmospheric boundary layer ozone measurements.

Shi Kuang1, Michael J Newchurch, John Burris, Xiong Liu.   

Abstract

Ground-based lidars are suitable for long-term ozone monitoring as a complement to satellite and ozonesonde measurements. However, current ground-based lidars are unable to consistently measure ozone below 500 m above ground level (AGL) due to both engineering issues and high retrieval sensitivity to various measurement errors. In this paper, we present our instrument design, retrieval techniques, and preliminary results that focus on the high-temporal profiling of ozone within the atmospheric boundary layer (ABL) achieved by the addition of an inexpensive and compact mini-receiver to the previous system. For the first time, to the best of our knowledge, the lowest, consistently achievable observation height has been extended down to 125 m AGL for a ground-based ozone lidar system. Both the analysis and preliminary measurements demonstrate that this lidar measures ozone with a precision generally better than ±10% at a temporal resolution of 10 min and a vertical resolution from 150 m at the bottom of the ABL to 550 m at the top. A measurement example from summertime shows that inhomogeneous ozone aloft was affected by both surface emissions and the evolution of ABL structures.

Entities:  

Year:  2013        PMID: 23736241     DOI: 10.1364/AO.52.003557

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Quantifying TOLNet Ozone Lidar Accuracy during the 2014 DISCOVER-AQ and FRAPPÉ Campaigns.

Authors:  Lihua Wang; Michael J Newchurch; Raul J Alvarez; Timothy A Berkoff; Steven S Brown; William Carrion; Russell J De Young; Bryan J Johnson; Rene Ganoe; Guillaume Gronoff; Guillaume Kirgis; Shi Kuang; Andrew O Langford; Thierry Leblanc; Erin E McDuffie; Thomas J McGee; Denis Pliutau; Christoph J Senff; John T Sullivan; Grant Sumnicht; Laurence W Twigg; Andrew J Weinheimer
Journal:  Atmos Meas Tech       Date:  2017-10-23       Impact factor: 4.176

2.  Optical remote sensing for monitoring flying mosquitoes, gender identification and discussion on species identification.

Authors:  Adrien P Genoud; Roman Basistyy; Gregory M Williams; Benjamin P Thomas
Journal:  Appl Phys B       Date:  2018-02-17       Impact factor: 2.070

  2 in total

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