Publication Abstracts

Clifton et al. 2023

Clifton, O.E., D. Schwede, C. Hogrefe, J.O. Bash, S. Bland, P. Cheung, M. Coyle, L. Emberson, J. Flemming, E. Fredj, S. Galmarini, L. Ganzeveld, O. Gazetas, I. Goded, C.D. Holmes, L. Horváth, V. Huijnen, Q. Li, P.A. Makar, I. Mammarella, G. Manca, J.W. Munger, J.L. Pérez-Camanyo, J. Pleim, L. Ran, R. San Jose, S.J. Silva, R. Staebler, S. Sun, A.P.K. Tai, E. Tas, T. Vesala, T. Weidinger, Z. Wu, and L. Zhang, 2023: A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4). Atmos. Chem. Phys., 23, no. 17, 9911-9961, doi:10.5194/acp-23-9911-2023.

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.

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BibTeX Citation

  author={Clifton, O. E. and Schwede, D. and Hogrefe, C. and Bash, J. O. and Bland, S. and Cheung, P. and Coyle, M. and Emberson, L. and Flemming, J. and Fredj, E. and Galmarini, S. and Ganzeveld, L. and Gazetas, O. and Goded, I. and Holmes, C. D. and Horváth, L. and Huijnen, V. and Li, Q. and Makar, P. A. and Mammarella, I. and Manca, G. and Munger, J. W. and Pérez-Camanyo, J. L. and Pleim, J. and Ran, L. and San Jose, R. and Silva, S. J. and Staebler, R. and Sun, S. and Tai, A. P. K. and Tas, E. and Vesala, T. and Weidinger, T. and Wu, Z. and Zhang, L.},
  title={A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)},
  journal={Atmos. Chem. Phys.},

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RIS Citation

ID  - cl05100p
AU  - Clifton, O. E.
AU  - Schwede, D.
AU  - Hogrefe, C.
AU  - Bash, J. O.
AU  - Bland, S.
AU  - Cheung, P.
AU  - Coyle, M.
AU  - Emberson, L.
AU  - Flemming, J.
AU  - Fredj, E.
AU  - Galmarini, S.
AU  - Ganzeveld, L.
AU  - Gazetas, O.
AU  - Goded, I.
AU  - Holmes, C. D.
AU  - Horváth, L.
AU  - Huijnen, V.
AU  - Li, Q.
AU  - Makar, P. A.
AU  - Mammarella, I.
AU  - Manca, G.
AU  - Munger, J. W.
AU  - Pérez-Camanyo, J. L.
AU  - Pleim, J.
AU  - Ran, L.
AU  - San Jose, R.
AU  - Silva, S. J.
AU  - Staebler, R.
AU  - Sun, S.
AU  - Tai, A. P. K.
AU  - Tas, E.
AU  - Vesala, T.
AU  - Weidinger, T.
AU  - Wu, Z.
AU  - Zhang, L.
PY  - 2023
TI  - A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)
JA  - Atmos. Chem. Phys.
VL  - 23
IS  - 17
SP  - 9911
EP  - 9961
DO  - 10.5194/acp-23-9911-2023
ER  -

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