Abstract

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.

Highlights

  • Vital in the stratosphere, ozone has long been recognized as an air pollutant near the Earth’s surface, causing health problems for humans and vegetation at high concentration (World Health Organization, 2003)

  • The remaining two systems operate at fixed locations: the RO3QET system located at the University of Alabama in Huntsville campus and the Table Mountain tropospheric ozone lidar (TMTOL) system located at the JPL Table Mountain Facility (TMF) in Southern California

  • After several years of instrumental development and optimization, the Southern California Ozone Observation Project (SCOOP) campaign represents a turning point in the lifecycle of Tropospheric Ozone Lidar Network (TOLNet). Upon their deployment in Southern California in August 2016, the participating TOLNet lidars had reached a mature stage of technical development

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Summary

Introduction

Vital in the stratosphere, ozone has long been recognized as an air pollutant near the Earth’s surface, causing health problems for humans and vegetation at high concentration (World Health Organization, 2003). As of 2018, the network comprises six high-performance ozone differential absorption lidars (DIAL), namely the Canadabased Autonomous Mobile Ozone Lidar for Tropospheric Experiments (AMOLITE) (Strawbridge et al, 2018), the National Aeronautics and Space Administration (NASA) Langley Mobile Ozone Lidar (LMOL) (De Young et al, 2017), the University of Alabama in Huntsville Rocket-city O3 Quality Evaluation in the Troposphere lidar (RO3QET) (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).

Participating TOLNet lidar and other instruments
The Canadian AMOLITE lidar
The NASA-LaRC LMOL lidar
15 H2 first Stokes D2 first Stokes On
The NASA-JPL TMTOL lidar
The NOAA TOPAZ lidar
The NASA-GSFC TROPOZ lidar
Lidar instrument deployment
Lidar operation schedule
Other instrument operations during SCOOP
SCOOP Level 2 data 30 min coincident lidar–ozonesonde profiles
Standardization and validation of the TOLNet lidar data processing algorithms
Standardized effective vertical resolution
Standardized uncertainty budget
From data processing algorithm validation to ozone profile validation
One-on-one comparisons
Uncertainties
SCOOP Level 3 data and final validation outcome
Summary
Findings
Conclusion and perspectives

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