A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)

Clifton, Olivia E.; Schwede, Donna; Hogrefe, Christian; Bash, Jesse O.; Bland, Sam; Cheung, Philip; Coyle, Mhairi ORCID: https://orcid.org/0000-0002-9440-6524; Emberson, Lisa; Flemming, Johannes; Fredj, Erick; Galmarini, Stefano; Ganzeveld, Laurens; Gazetas, Orestis; Goded, Ignacio; Holmes, Christopher D.; Horváth, László; Huijnen, Vincent; Li, Qian; Makar, Paul A.; Mammarella, Ivan; Manca, Giovanni; Munger, J. William; Pérez-Camanyo, Juan L.; Pleim, Jonathan; Ran, Limei; San Jose, Roberto; Silva, Sam J.; Staebler, Ralf; Sun, Shihan; Tai, Amos P.K.; Tas, Eran; Vesala, Timo; Weidinger, Tamás; Wu, Zhiyong; Zhang, Leiming. 2023 A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4) [in special issue: AQMEII4: a detailed assessment of atmospheric deposition processes from point models to regional-scale models] Atmospheric Chemistry and Physics, 23 (17). 9911-9961. https://doi.org/10.5194/acp-23-9911-2023

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Abstract/Summary

A primary sink of air pollutants and their precursors is dry deposition. Dry deposition estimates differ across chemical transport models, yet an understanding of the model spread is incomplete. Here, we introduce Activity 2 of the Air Quality Model Evaluation International Initiative Phase 4 (AQMEII4). We examine 18 dry deposition schemes from regional and global chemical transport models as well as standalone models used for impact assessments or process understanding. We configure the schemes as single-point models at eight Northern Hemisphere locations with observed ozone fluxes. Single-point models are driven by a common set of site-specific meteorological and environmental conditions. Five of eight sites have at least 3 years and up to 12 years of ozone fluxes. The interquartile range across models in multiyear mean ozone deposition velocities ranges from a factor of 1.2 to 1.9 annually across sites and tends to be highest during winter compared with summer. No model is within 50 % of observed multiyear averages across all sites and seasons, but some models perform well for some sites and seasons. For the first time, we demonstrate how contributions from depositional pathways vary across models. Models can disagree with respect to relative contributions from the pathways, even when they predict similar deposition velocities, or agree with respect to the relative contributions but predict different deposition velocities. Both stomatal and nonstomatal uptake contribute to the large model spread across sites. Our findings are the beginning of results from AQMEII4 Activity 2, which brings scientists who model air quality and dry deposition together with scientists who measure ozone fluxes to evaluate and improve dry deposition schemes in the chemical transport models used for research, planning, and regulatory purposes.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/acp-23-9911-2023
UKCEH and CEH Sections/Science Areas:	Atmospheric Chemistry and Effects (Science Area 2017-)
ISSN:	1680-7324
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Atmospheric Sciences
Related URLs:	Dataset Dataset Dataset Dataset Dataset
Date made live:	14 Nov 2023 15:28 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535792

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