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Dry deposition of ozone: Intercomparison and evaluation across chemical transport models in the Air Quality Model Evaluation International Initiative (AQMEII)
Citation:
Clifton, O., S. Galmarini, C. Hogrefe, L. Emberson, J. Fleming, C. Holmes, P. Makar, D. Schwede, S. Silva, U. Alyuz, J. Bash, S. Bland, T. Butler, P. Cheung, L. Ganzeveld, A. Hodzic, V. Huijnen, R. Kranenburg, S. Kumar, A. Lupascu, K. Momoh, H. Nowell, J. Perez Camanyo, J. Pleim, L. Ran, Y. Ryu, R. San Jose, R. Sokhi, S. Sun, A. Tai, M. Coyle, E. Fredj, I. Goded, O. Gazetas, L. Horváth, Q. Li, I. Mammarella, G. Manca, W. Munger, R. Staebler, E. Tas, T. Vesala, T. Weidinger, Z. Wu, L. Zhang, R. Bellasio, R. Bianconi, A. Khan, AND I. Kioutsioukis. Dry deposition of ozone: Intercomparison and evaluation across chemical transport models in the Air Quality Model Evaluation International Initiative (AQMEII). Virtual Spring Meeting of the Task Force on Hemispheric Transport of Air Pollution (TF HTAP), Virtual Online Meeting, NC, April 20 - 21, 2023.
Impact/Purpose:
This presentation provides an update of research performed in Phase 4 of the Air Quality Model Evaluation International Initiative (AQMEII). AQMEII is a collaboration between North American and European regional air quality modelers and is being co-chaired by EPA and the European Commission Joint Research Centre. AQMEII is currently conducting its fourth phase of research with a focus on atmospheric deposition. The research effort includes box modeling at flux measurement sites and continental-scale annual grid model simulations.
Description:
This talk will provide an update on the status of research performed under Phase 4 of the Air Quality Model Evaluation International Initiative (AQMEII) by more than 10 research groups from North America and Europe. The focus of this initiative is on analyzing deposition of trace gases simulated by regional-scale air quality models. This research initiative is divided into two complementary activities. The first activity—an analysis of deposition processes in annual simulations performed by grid-based regional air quality models—is based on adding detailed land use/land cover (LULC)-specific diagnostics to the algorithms used in the models’ dry deposition modules as well as archiving variables for comparing the relative influence of different pathways towards the net or total dry deposition. The second activity—an evaluation of dry deposition point models against ozone flux measurements at multiple towers with multiyear observations at a diverse set of northern hemisphere locations—allows for quantifying differences among dry deposition schemes driven by identical conditions at a variety of sites, minimizing input uncertainty in model evaluation, and identifying responses to meteorology, biophysics, and ecosystem characteristics.