Articles | Volume 21, issue 20
Atmos. Chem. Phys., 21, 15647–15661, 2021
https://doi.org/10.5194/acp-21-15647-2021
Atmos. Chem. Phys., 21, 15647–15661, 2021
https://doi.org/10.5194/acp-21-15647-2021
Technical note
20 Oct 2021
Technical note | 20 Oct 2021

Technical note: Quality assessment of ozone reanalysis products and gap-filling over subarctic Europe for vegetation risk mapping

Stefanie Falk et al.

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Cited articles

Ainsworth, E. A.: Understanding and improving global crop response to ozone pollution, Plant J., 90, 886–897, https://doi.org/10.1111/tpj.13298, 2017. a
Andersson, C., Alpfjord, H., Robertson, L., Karlsson, P. E., and Engardt, M.: Reanalysis of and attribution to near-surface ozone concentrations in Sweden during 1990–2013, Atmos. Chem. Phys., 17, 13869–13890, https://doi.org/10.5194/acp-17-13869-2017, 2017. a, b
Barten, J. G. M., Ganzeveld, L. N., Steeneveld, G.-J., and Krol, M. C.: Role of oceanic ozone deposition in explaining temporal variability in surface ozone at High Arctic sites, Atmos. Chem. Phys., 21, 10229–10248, https://doi.org/10.5194/acp-21-10229-2021, 2021. a, b, c, d
Björklund, J.-Å., Ekelund, K., Henningsson, A., Perers, K., Peters, J., Siverstig, A., Uddholm, L.-G., and Wisén, J.: Betänkande av 2018 års skogsbrandsutredning, SOU2019 7, Statens Offentliga Utredningar (SOU), available at: https://www.regeringen.se/rattsliga-dokument/statens-offentliga-utredningar/2019/02/sou-20197/ (last access: April 2020), 2019. a
Chuwah, C., van Noije, T., van Vuuren, D. P., Stehfest, E., and Hazeleger, W.: Global impacts of surface ozone changes on crop yields and land use, Atmos. Environ., 106, 11–23, https://doi.org/10.1016/j.atmosenv.2015.01.062, 2015. a
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We evaluate regional and global models for ozone modeling and damage risk mapping of vegetation over subarctic Europe. Our analysis suggests that low-resolution global models do not reproduce the observed ozone seasonal cycle at ground level, underestimating ozone by 30–50 %. High-resolution regional models capture the seasonal cycle well, still underestimating ozone by up to 20 %. Our proposed gap-filling method for site observations shows a 76 % accuracy compared to the regional model (80 %).
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