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Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions

Rowlinson, Matthew J.; Rap, Alexandru; Hamilton, Douglas S.; Pope, Richard J.; Hantson, Stijn; Arnold, Steve R.; Kaplan, Jed O.; Arneth, Almut; Chipperfield, Martyn P.; Forster, Piers M.; Nieradzik, Lars

Tropospheric ozone concentrations are sensitive to natural emissions of precursor compounds. In contrast to existing assumptions, recent evidence indicates that terrestrial vegetation emissions in the pre-industrial era were larger than in the present day. We use a chemical transport model and a radiative transfer model to show that revised inventories of pre-industrial fire and biogenic emissions lead to an increase in simulated pre-industrial ozone concentrations, decreasing the estimated pre-industrial to present-day tropospheric ozone radiative forcing by up to 34 % (0.38 to 0.25 W m$^{-2}$). We find that this change is sensitive to employing biomass burning and biogenic emissions inventories based on matching vegetation patterns, as the co-location of emission sources enhances the effect on ozone formation. Our forcing estimates are at the lower end of existing uncertainty range estimates (0.2–0.6 W m$^{-2}$), without accounting for other sources of uncertainty. Thus, future work should focus on reassessing the uncertainty range of tropospheric ozone radiative forcing.

Verlagsausgabe §
DOI: 10.5445/IR/1000126438
Veröffentlicht am 19.11.2020
DOI: 10.5194/acp-20-10937-2020
Zitationen: 4
Zitationen: 6
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000126438
HGF-Programm 12.02.02 (POF III, LK 01) Vegetation climate- and land use system
Erschienen in Atmospheric chemistry and physics
Verlag European Geosciences Union (EGU)
Band 20
Heft 18
Seiten 10937–10951
Vorab online veröffentlicht am 22.09.2020
Nachgewiesen in Dimensions
Web of Science
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