Articles | Volume 15, issue 14
Geosci. Model Dev., 15, 5883–5903, 2022
https://doi.org/10.5194/gmd-15-5883-2022
Geosci. Model Dev., 15, 5883–5903, 2022
https://doi.org/10.5194/gmd-15-5883-2022
Model description paper
28 Jul 2022
Model description paper | 28 Jul 2022

TransClim (v1.0): a chemistry–climate response model for assessing the effect of mitigation strategies for road traffic on ozone

Vanessa Simone Rieger and Volker Grewe

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Cited articles

Dahlmann, K., Grewe, V., Frömming, C., and Burkhardt, U.: Can we reliably assess climate mitigation options for air traffic scenarios despite large uncertainties in atmospheric processes?, Transport. Res. D: Tr. E., 46, 40–55, https://doi.org/10.1016/j.trd.2016.03.006, 2016. a
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Dodge, M.: Combined use of modeling techniques and smog chamber data to derive ozoneprecursor relationships, in: International Conference on Photochemical Oxidant Pollution and its Control: Proceedings, edited by: Dimitriades, B., U.S. Environmental Protection Agency, Environmental Sciences Research Laboratory, Research Triangle Park, N.C., Vol. II., 881–889, ePA/600/3-77-001b, 1977. a
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Short summary
Road traffic emissions of nitrogen oxides, volatile organic compounds and carbon monoxide produce ozone in the troposphere and thus influence Earth's climate. To assess the ozone response to a broad range of mitigation strategies for road traffic, we developed a new chemistry–climate response model called TransClim. It is based on lookup tables containing climate–response relations and thus is able to quickly determine the climate response of a mitigation option.