Global vertical profiles of tropospheric ozone (O₃) obtained by cloud-slicing TROPOMI
| dc.contributor.author | Horner, Rebekah P. | |
| dc.contributor.author | Marais, Eloise Ann | |
| dc.contributor.author | Stauffer, Ryan Michael | |
| dc.contributor.author | Kollonige, Debra E. | |
| dc.contributor.author | Thompson, Anne M. | |
| dc.date.accessioned | 2026-01-22T16:18:59Z | |
| dc.date.issued | 2025-12-11 | |
| dc.description.abstract | Tropospheric ozone (O₃) is a powerful greenhouse gas and air pollutant that negatively impacts human health and ecosystems. Routine observations to better understand its vertical distribution are rare. We derive vertical profiles of tropospheric O₃ from TROPOMI total columns using cloud-slicing designed and optimised with synthetic experiments. Cloud-slicing produces multiyear (June 2018 to May 2022) seasonal means of O₃ mixing ratios at 1° resolution for five discrete layers throughout the troposphere: two upper (320-180 hPa, 450-320 hPa), two middle (600-450 hPa, 800-600 hPa) and one in the boundary layer (below 800 hPa). This vertical resolution is superior to existing satellite-derived datasets that offer at most two independent vertical layers. Cloud-sliced data coverage is near-global in the middle layers and limited mostly to the tropics in the top and remote marine boundary layers. In the southern hemisphere and tropics, cloud-sliced O₃ are typically within 15% of ozonesondes from NOAA, SHADOZ and WOUDC networks, but exhibit negative biases of up to 35% in the northern hemisphere free troposphere. We use our vertically-resolved cloud-sliced O₃ to assess the state of knowledge as simulated with the GEOS-Chem model. Our comparison provides support for a persistent model overestimate in upper tropospheric O₃ year-round and in tropical free tropospheric O₃ in March-May and September-November, as well as a model underestimate in the southern high latitudes. Further cloud-sliced O₃ development is needed to resolve a northern hemisphere free troposphere bias to exploit the potential to examine hourly variability in vertically resolved O₃ from geostationary sensors. | |
| dc.description.sponsorship | This research has been supported by the European Research Council through the H2020 research and innovation programme (through a Starting Grant awarded to Eloise A. Marais, UpTrop (grant no. 851854)). We gratefully acknowledge the NOAA Global Monitoring Laboratory (GML), the Southern Hemisphere Additional Ozonesondes (SHADOZ) network, and the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) for providing access to global ozonesonde data used in this study. | |
| dc.description.uri | https://www.authorea.com/doi/full/10.22541/essoar.176548927.72495040?commit=1210445001247b610efc8144bef058ced1f8a2ce | |
| dc.format.extent | 40 pages | |
| dc.genre | journal articles | |
| dc.genre | preprints | |
| dc.identifier | doi:10.13016/m2c178-0b9q | |
| dc.identifier.uri | https://doi.org/10.22541/essoar.176548927.72495040/v1 | |
| dc.identifier.uri | http://hdl.handle.net/11603/41527 | |
| dc.language.iso | en | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC GESTAR II | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights | Public Domain | |
| dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
| dc.title | Global vertical profiles of tropospheric ozone (O₃) obtained by cloud-slicing TROPOMI | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0002-7829-0920 |
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