Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models

Souri, Amir H.; González Abad, Gonzalo; Wolfe, Glenn M.; Verhoelst, Tijl; Vigouroux, Corinne; Pinardi, Gaia; Compernolle, Steven; Langerock, Bavo; Duncan, Bryan N.; Johnson, Matthew S.

doi:https://doi.org/10.5194/acp-25-2061-2025

Articles | Volume 25, issue 4

https://doi.org/10.5194/acp-25-2061-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Tropospheric Ozone Assessment Report Phase II (TOAR-II) Community...

https://doi.org/10.5194/acp-25-2061-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 4

Research article

|

18 Feb 2025

Research article |

| 18 Feb 2025

Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models

Amir H. Souri, Gonzalo González Abad, Glenn M. Wolfe, Tijl Verhoelst, Corinne Vigouroux, Gaia Pinardi, Steven Compernolle, Bavo Langerock, Bryan N. Duncan, and Matthew S. Johnson

Supplement

https://doi.org/10.5194/acp-25-2061-2025-supplement

Data sets

TROPOMI Level 2 Nitrogen Dioxide total column products, Version 02 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-9bnp8q8

TROPOMI Level 2 Formaldehyde Total Column products, Version 02 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-vg1i7t0

Measurement Stations Network for the Detection of Atmospheric Composition Change (NDACC) https://ndacc.larc.nasa.gov

TROPOMI surface LER & DLER database Royal Netherlands Meteorological Institute (KNMI) https://www.temis.nl/surface/albedo/tropomi_ler.php

Model code and software

AirChem/F0AM: v4.3.0.1 Glenn Wolfe and Jessica Haskins https://doi.org/10.5281/zenodo.10069985

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Short summary

We establish a simple yet robust relationship between ozone production rates and geophysical parameters obtained from several intensive atmospheric composition campaigns. We show that satellite remote sensing data can effectively constrain these parameters, enabling us to produce the first global maps of ozone production rates with unprecedented resolution.