Slope characterization in combining analog and photon count data from atmospheric lidar measurements

Zhang, Yunpeng; Yi, Fan; Kong, Wei; Yang, Yi

doi:10.1364/ao.53.007312

Cited by 40 publications

(27 citation statements)

References 13 publications

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“…Raw signals, both analog and photon counting, are backgroundsubtracted and range-squared before application of a singlepass Savitzky-Golay filter (Leblanc et al, 2016a, and references therein); the more points used in the filter, the lower the resolution. Analog and photon-counting channels are merged together to provide a single optimized profile for range and signal-to-noise performance (Leblanc et al, 2016b;Zhang et al, 2014;Newsom et al, 2009). Ozone cross sections along with pressure and temperature information are used as part of the filter process to extract ozone mixing ratio as a function of altitude.…”

Section: The Nasa-larc Lmol Lidarmentioning

confidence: 99%

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

et al. 2018

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Abstract. The North America-based Tropospheric Ozone Lidar Network (TOLNet) was recently established to provide high spatiotemporal vertical profiles of ozone, to better understand physical processes driving tropospheric ozone variability and to validate the tropospheric ozone measurements of upcoming spaceborne missions such as Tropospheric Emissions: Monitoring Pollution (TEMPO). The network currently comprises six tropospheric ozone lidars, four of which are mobile 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 1-week-long Southern California Ozone Observation Project (SCOOP). This intercomparison campaign, which included 400 h of lidar measurements and 18 ozonesonde launches, allowed for the unprecedented simultaneous validation of five of the six TOLNet lidars. For measurements between 3 and 10 km a.s.l., a mean difference of 0.7 ppbv (1.7 %), with a root-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 profile 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 measurements and retrievals builds confidence as to 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.

show abstract

Section: The Nasa-larc Lmol Lidarmentioning

confidence: 99%

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

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Raw signals both analog and photon counting are background subtracted and range-squared before applying a single-pass Savitzky-Golay 5 filter (Leblanc et al, 2016a, and references therein); the more points used in the filter, the lower the resolution. Analog and photon-count channels are merged together to provide a single optimized profile for range and signal-to-noise performance (Leblanc et al, 2016b;Zhang et al, 2014;Newsom et al, 2009). Ozone cross sections along with pressure and temperature information are used as part of the filter process to extract ozone mixing ratio as a function of altitude.…”

Section: The Nasa-larc Lmol Lidarmentioning

confidence: 99%

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.

show abstract

Section: The Nasa-larc Lmol Lidarmentioning

confidence: 99%

Responses to reviewer 1

Leblanc¹

2018

Preprint

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show abstract

Slope characterization in combining analog and photon count data from atmospheric lidar measurements

Cited by 40 publications

References 13 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)

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

Responses to reviewer 1

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