TOLNet validation of satellite ozone profiles in the troposphere: impact of retrieval wavelengths

Johnson, M., A. Rozanov, M. Weber, N. Mettig, J. Sullivan, M. Newchurch, S. Kuang, T. Leblanc, F. Chouza, T. Berkoff, G. Gronoff, K.B. Strawbridge, R.J. Alvarez, A.O. Langford, C. Senff, G. Kirgis, B. McCarty, and L.W. Twigg (2024), TOLNet validation of satellite ozone profiles in the troposphere: impact of retrieval wavelengths, Atmos. Meas. Tech., 17, 2559-2582, doi:10.5194/amt-17-2559-2024.
Abstract

The Tropospheric Ozone Lidar Network (TOLNet) was used to validate retrievals of ozone (O3 ) profiles in the troposphere from the TROPOspheric Monitoring Instrument (TROPOMI) ultraviolet (UV), Cross-track Infrared Sounder (CrIS) infrared (IR), and a combined UV + IR wavelength retrieval from TROPOMI/CrIS. Observations from six separate ground-based lidar systems and various locations of ozonesondes distributed throughout North America and in the Netherlands were used to quantify systematic bias and random errors for each satellite retrieval. Furthermore, TOLNet data were used to intercompare idealized UV, IR, and UV + IR convolved lidar profiles of O3 in the troposphere during case studies representative of highO3 events. This study shows that the improved sensitivity and vertical resolution in UV + IR retrievals in the middleand upper-troposphere resulted in tropospheric degree of freedom (DOF) values ∼ 33 % higher compared to UVand IR-only retrievals. The increased DOFs in the UV + IR retrievals allowed for improved reproduction of mid- and upper-tropospheric O3 enhancements and, to a lesser degree, near-surface pollution enhancements compared to singlewavelength satellite products.

The validation of O3 profiles in the troposphere retrieved with the UV-only, IR-only, and UV + IR Tikhonov regularised Ozone Profile retrievAl with SCIATRAN (TOPAS) algorithm developed at the Institute for Environmental Physics, University of Bremen, demonstrated the utility of using TOLNet as a satellite evaluation data set. TOPAS UV-only, IR-only, and UV + IR wavelength retrievals had systematic biases, quantified with normalized mean bias, throughout the troposphere of 11.2 ppb (22.1 %), −1.7 ppb (−0.3 %), and 3.5 ppb (7.8 %), respectively, which meet the tropospheric systematic bias requirements defined by the science teams for the TROPOMI and CrIS sensors. The pri-

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Research Program
Atmospheric Composition
Tropospheric Composition Program (TCP)
Funding Sources
Matthew S. Johnson, John Sullivan, Michael J. Newchurch, Shi Kuang, Thierry Leblanc, Fernando Chouza, Timothy A. Berkoff, Guillaume Gronoff, Raul J. Alvarez, Andrew O. Langford, Christoph J. Senff, Guillaume Kirgis, Brandi McCarty, and Larry Twigg received funding from the NASA Tropospheric Composition Program through the TOLNet Science Team.

 

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