A diagnostic intercomparison of modeled ozone dry deposition over North America and Europe using AQMEII4 regional-scale simulations

作者：Christian Hogrefe, Stefano Galmarini, Paul A. Makar, Ioannis Kioutsioukis, Olivia E. Clifton, Ümmügülsüm Alyüz, Jesse O. Bash, Roberto Bellasio, Roberto Bianconi, Tim Butler, Philip Cheung, Alma Hodžić, Richard van Kranenburg, Aurelia Lupaşcu, Kester Momoh, Juan L. Pérez-Camanyo, Jonathan Pleim, Young-Hee Ryu, Roberto San José, Martijn Schaap, Donna Schwede, Ranjeet Sokhi · 发表于：Atmospheric chemistry and physics · 年份：2025 · DOI：10.5194/acp-25-12629-2025 · 被引用次数：3 · 研究领域：Atmospheric chemistry and aerosols、Atmospheric Ozone and Climate、Atmospheric aerosols and clouds

This study analyzes ozone (O3) dry deposition fluxes and velocities (Vd) from twelve 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 (LU)-specific O3 Vd 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 similar Vd can exhibit significant differences in the absolute and relative contributions of the different depositional pathways. Analysis of LU-specific Vd 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 eme...