Langley mobile ozone lidar: ozone and aerosol atmospheric profiling for air quality research

Young, Russell De; Carrion, William; Ganoe, Rene; Pliutau, Denis; Gronoff, Guillaume; Berkoff, Timothy A.; Kuang, Shi

doi:10.1364/ao.56.000721

Cited by 46 publications

(31 citation statements)

References 17 publications

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“…The Langley Mobile Ozone Lidar (LMOL) is a ground-based tropospheric profiling ozone lidar system housed in a mobile trailer that has participated in air quality studies since 2014 (Young et al, 2017). Like the other TOLNet lidar systems, LMOL relies on ultra-violet pulsed laser source that produces two wavelengths allowing for calculation of O3 concentration 20 profiles from atmospheric differential absorption (Browell et al, 1985).…”

Section: The Nasa-larc Lmol Lidarmentioning

confidence: 99%

“…In this context, the North American-based Tropospheric Ozone Lidar Network (TOLNet, https://www-air.larc.nasa.gov/missions/TOLNet/) was recently established to provide high spatio-temporal observations of tropospheric ozone to 1) better understand physical processes driving the ozone budget in various meteorological and environmental conditions, and 2) validate the tropospheric ozone measurements of 15 upcoming space-borne missions such as TEMPO (Tropospheric Emissions: Monitoring of POllution, http://tempo.si.edu) (Zoogman et al, 2014;Johnson et al, 2018) or TROPOMI (TROPOspheric Monitoring Instrument, http://www.tropomi.eu/). As of 2018, the network comprises six high-capability Ozone Differential Absorption Lidars (DIAL), namely the Canadian-based Autonomous Mobile Ozone Lidar for Tropospheric Experiments (AMOLITE) (Strawbridge et al, 2018), the National Aeronautics and Space Administration (NASA) Langley Mobile Ozone Lidar 20 (LMOL) (De Young et al, 2017), the University of Alabama in Huntsville Rocket-city O 3 Quality Evaluation in the Troposphere lidar (RO 3 QET) (Kuang et al, 2013), the JPL- Table Mountain Tropospheric Ozone Lidar (TMTOL) (McDermid et al, 2002), the National Oceanic and Atmospheric Administration (NOAA) Tunable Optical Profiler for Aerosol and oZone Lidar (TOPAZ) (Alvarez et al, 2011), and the NASA Goddard Space Flight Center mobile Tropospheric Ozone Lidar (TROPOZ) (Sullivan et al, 2014). Four of these lidars (AMOLITE, LMOL, TOPAZ, and TROPOZ) are mobile 25 systems for deployment at remote locations, depending on field campaign and science needs of the moment.…”

Section: Introductionmentioning

confidence: 99%

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Validation of the TOLNet Lidars: The Southern California Ozone Observation Project (SCOOP)

Leblanc¹,

Brewer²,

Wang³

et al. 2018

Preprint

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Abstract. The North-America-based Tropospheric Ozone Lidar Network (TOLNet) was recently established to provide high spatio-temporal vertical profiles of ozone, to better understand physical processes driving tropospheric ozone variability, and to validate the tropospheric ozone measurements of upcoming space-borne missions such as Tropospheric Emissions:Monitoring Pollution (TEMPO). The network currently comprises six tropospheric ozone lidars, four of which are mobile 25 instruments deploying to the field a few times per year, based on campaign and science needs. In August 2016, all four mobile TOLNet lidars were brought to the fixed TOLNet site of JPL-Table Mountain Facility for the one-week-long Southern California Ozone Observation Project (SCOOP). This intercomparison campaign, which included 400 hours of lidar measurements and 18 ozonesondes launches, allowed for the unprecedented simultaneous validation of five of the six TOLNet lidars. For measurements between 3 and 10 km above sea level, a mean difference of 0.7 ppbv (1.7%), with a root-30 mean-square deviation of 1.6 ppbv or 2.4% was found between the lidars and ozonesondes, which is well within the combined uncertainties of the two measurement techniques. The few minor differences identified were typically associated with the known limitations of the lidars at the profiles altitude extremes (i.e., first 1 km above ground and at the instruments highest retrievable altitude). As part of a large homogenization and quality control effort within the network, many aspects of the TOLNet in-house data processing algorithms were also standardized and validated. This thorough validation of both the 35 2 measurements and retrievals builds confidence in the high quality and reliability of the TOLNet ozone lidar profiles for many years to come, making TOLNet a valuable ground-based reference network for tropospheric ozone profiling.

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Section: The Nasa-larc Lmol Lidarmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of the TOLNet Lidars: The Southern California Ozone Observation Project (SCOOP)

Leblanc¹,

Brewer²,

Wang³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

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“…The lidar receiver system consists of a 40 cm telescope with a 1.4 mrad FOV to measure far field and another 30 cm telescope with an adjustable FOV to measure near field (De Young et al, 2017). The raw lidar signals are recorded with a 7.5 m range resolution.…”

Section: Lmol/nasa Larcmentioning

confidence: 99%

“…Their details have been described by Alvarez et al (2011), De Young et al (2017, Langford et al (2011), and Sullivan et al (2015. Some basic procedures were applied on the raw lidar signals before retrievals, such as time integration (5 min for this study), dead-time correction (for PC only), background correction (subtraction), merging of PC and analog signals (for a system with both PC and analog channels), and signalinduced-bias (SIB) correction (Kuang et al, 2013).…”

Section: Lidar Data Processing and Retrieval Algorithmsmentioning

confidence: 99%

“…Only a brief description of the error budget of the lidar measurements is provided in this paper since the details have been discussed in the respective instrument papers De Young et al, 2017;Sullivan et al, 2014). Table 2 presents the estimated daytime measurement uncertainties for 5 and 30 min integration time for the three lidars.…”

Section: Error Budget Of the Lidar Measurementsmentioning

confidence: 99%

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Quantifying TOLNet ozone lidar accuracy during the 2014 DISCOVER-AQ and FRAPPÉ campaigns

Wang¹,

Newchurch²,

Alvarez³

et al. 2017

Atmos. Meas. Tech.

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Abstract. The Tropospheric Ozone Lidar Network (TOLNet) is a unique network of lidar systems that measure highresolution atmospheric profiles of ozone. The accurate characterization of these lidars is necessary to determine the uniformity of the network calibration. From July to August 2014, three lidars, the TROPospheric OZone (TROPOZ) lidar, the Tunable Optical Profiler for Aerosol and oZone (TOPAZ) lidar, and the Langley Mobile Ozone Lidar (LMOL), of TOLNet participated in the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission and the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ) to measure ozone variations from the boundary layer to the top of the troposphere. This study presents the analysis of the intercomparison between the TROPOZ, TOPAZ, and LMOL lidars, along with comparisons between the lidars and other in situ ozone instruments including ozonesondes and a P-3B airborne chemiluminescence sensor. The TOLNet lidars measured vertical ozone structures with an accuracy generally better than ±15 % within the troposphere. Larger differences occur at some individual altitudes in both the near-field and far-field range of the lidar systems, largely as expected. In terms of column average, the TOLNet lidars measured ozone with an accuracy better than ±5 % for both the intercomparison between the lidars and between the lidars and other instruments. These results indicate that these three TOLNet lidars are suitable for use in air quality, satellite validation, and ozone modeling efforts.

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SO$${ }_2$$ Plumes Observation with LMOL: Theory, Modeling, and Validation

Gronoff,

Berkoff,

Carrion

et al. 2023

Springer Atmospheric Sciences

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Langley mobile ozone lidar: ozone and aerosol atmospheric profiling for air quality research

Cited by 46 publications

References 17 publications

Validation of the TOLNet Lidars: The Southern California Ozone Observation Project (SCOOP)

Validation of the TOLNet Lidars: The Southern California Ozone Observation Project (SCOOP)

Quantifying TOLNet ozone lidar accuracy during the 2014 DISCOVER-AQ and FRAPPÉ campaigns

SO$${ }_2$$ Plumes Observation with LMOL: Theory, Modeling, and Validation

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