Publication Abstracts
Hogrefe et al. 2025
Hogrefe, C., S. Galmarini, P.A. Makar, I. Kioutsioukis, , U. Alyuz, J.O. Bash, R. Bellasio, R. Bianconi, T. Butler, P. Cheung, A. Hodzic, R. Kranenburg, A. Lupascu, K. Momoh, J.L. Perez-Camanyo, J.E. Pleim, Y.-H. Ryu, R. San Jose, M. Schaap, D.B. Schwede, and R. Sokhi, 2025: A diagnostic intercomparison of modeled ozone dry deposition over North America and Europe using AQMEII4 regional-scale simulations. Atmos. Chem. Phys., 25, no. 20, 12629-12656, doi:10.5194/acp-25-12629-2025.
This study analyzes ozone (O3) dry deposition fluxes and velocities (Ve) from 12 regional-scale simulations that were performed over North America and Europe in Phase 4 of the Air Quality Model Evaluation International Initiative (AQMEII4). AQMEII4 collected grid-aggregated and land-use-specific (LU-specific) O3 Ve and effective conductances and fluxes for the four major dry deposition pathways. Consistent with recent findings in the AQMEII4 point model intercomparison study, analysis of the grid-aggregated fields shows that grid models with a similar Ve can exhibit significant differences in the absolute and relative contributions of the different depositional pathways. Analysis of LU-specific Ve and effective conductances reveals a general increase in model spread compared to grid-aggregated values. This indicates that an analysis of only grid-aggregated deposition diagnostics can mask process-specific differences that exist between schemes. An analysis of AQMEII4 LU distributions across models revealed substantial differences in the spatial patterns and abundance of certain LU categories over both domains, especially for non-forest partially vegetated categories such as agricultural areas, shrubland, and grassland. We demonstrate that these differences can significantly contribute to or even drive differences in LU-specific dry deposition fluxes which can increase the variability in model predictions of ozone. Two recommendations for future deposition-focused modeling studies emerging from the AQMEII4 analyses presented here are to (1) routinely generate diagnostic outputs to advance a process-based understanding of modeled deposition and support impact analyses and (2) recognize the importance of documenting and analyzing the representation of LU across models and work towards harmonizing this aspect when using air quality grid models and model ensembles for deposition analyses.
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BibTeX Citation
@article{ho09900v,
author={Hogrefe, C. and Galmarini, S. and Makar, P. A. and Kioutsioukis, I. and Clifton, O. E. and Alyuz, U. and Bash, J. O. and Bellasio, R. and Bianconi, R. and Butler, T. and Cheung, P. and Hodzic, A. and Kranenburg, R. and Lupascu, A. and Momoh, K. and Perez-Camanyo, J. L. and Pleim, J. E. and Ryu, Y.-H. and San Jose, R. and Schaap, M. and Schwede, D. B. and Sokhi, R.},
title={A diagnostic intercomparison of modeled ozone dry deposition over North America and Europe using AQMEII4 regional-scale simulations},
year={2025},
journal={Atmospheric Chemistry and Physics},
volume={25},
number={20},
pages={12629--12656},
doi={10.5194/acp-25-12629-2025},
}
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RIS Citation
TY - JOUR ID - ho09900v AU - Hogrefe, C. AU - Galmarini, S. AU - Makar, P. A. AU - Kioutsioukis, I. AU - Clifton, O. E. AU - Alyuz, U. AU - Bash, J. O. AU - Bellasio, R. AU - Bianconi, R. AU - Butler, T. AU - Cheung, P. AU - Hodzic, A. AU - Kranenburg, R. AU - Lupascu, A. AU - Momoh, K. AU - Perez-Camanyo, J. L. AU - Pleim, J. E. AU - Ryu, Y.-H. AU - San Jose, R. AU - Schaap, M. AU - Schwede, D. B. AU - Sokhi, R. PY - 2025 TI - A diagnostic intercomparison of modeled ozone dry deposition over North America and Europe using AQMEII4 regional-scale simulations JA - Atmos. Chem. Phys. JO - Atmospheric Chemistry and Physics VL - 25 IS - 20 SP - 12629 EP - 12656 DO - 10.5194/acp-25-12629-2025 ER -
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