Articles | Volume 23, issue 3
https://doi.org/10.5194/acp-23-1963-2023
https://doi.org/10.5194/acp-23-1963-2023
Research article
 | 
07 Feb 2023
Research article |  | 07 Feb 2023

Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties

Amir H. Souri, Matthew S. Johnson, Glenn M. Wolfe, James H. Crawford, Alan Fried, Armin Wisthaler, William H. Brune, Donald R. Blake, Andrew J. Weinheimer, Tijl Verhoelst, Steven Compernolle, Gaia Pinardi, Corinne Vigouroux, Bavo Langerock, Sungyeon Choi, Lok Lamsal, Lei Zhu, Shuai Sun, Ronald C. Cohen, Kyung-Eun Min, Changmin Cho, Sajeev Philip, Xiong Liu, and Kelly Chance

Data sets

Sentinel-5P TROPOMI Tropospheric Formaldehyde HCHO 1-Orbit L2 7km x 3.5km German Aerospace Center (DLR) https://doi.org/10.5270/S5P-tjlxfd2

Sentinel-5P TROPOMI Tropospheric NO$_2$ 1-Orbit L2 7km x 3.5km Koninklijk Nederlands Meteorologisch Instituut (KNMI) https://doi.org/10.5270/S5P-s4ljg54

Model code and software

ahsouri/STREET: STREET 0.0.3 (0.0.3) Amir H. Souri https://doi.org/10.5281/zenodo.7497106

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Short summary
We have rigorously characterized different sources of error in satellite-based HCHO / NO2 tropospheric columns, a widely used metric for diagnosing near-surface ozone sensitivity. Specifically, the errors were categorized/quantified into (i) an inherent chemistry error, (ii) the decoupled relationship between columns and the near-surface concentration, (iii) the spatial representativeness error of ground satellite pixels, and (iv) the satellite retrieval errors.
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