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A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)
Citation:
Clifton, O., D. Schwede, C. Hogrefe, J. Bash, S. Bland, P. Cheung, M. Coyle, L. Emberson, J. Fleming, E. Fredj, S. Galmarini, L. Ganzeveld, O. Gazetas, I. Goded, C. Holmes, L. Horváth, V. Huijnen, Q. Li, P. Makar, I. Mammarella, G. Manca, W. Munger, J. Pérez-Camanyo, Jon Pleim, L. Limei Ran, R. San Jose, S. Silva, R. Staebler, S. Sun, A. Tai, E. Tas, T. Vesala, T. Weidinger, Z. Wu, AND L. Zhang. A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4). Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, Germany, 23(17):9911–9961, (2023). https://doi.org/10.5194/acp-23-9911-2023
Impact/Purpose:
This technical note provides an overview of the Air Quality Modelling Evaluation International Initiative Phase 4 point intercomparison study and the associated data sets used for running and operating deposition models. The technical note will be cited by other papers as part of the background information for studies.
Description:
Dry deposition is an important sink of many air pollutants and their precursors. Simulated dry deposition rates differ substantially across chemical transport models yet an understanding of the drivers of the inter-model variation is lacking. Here we introduce an effort (‘Activity 2’) from the Air Quality Model Evaluation International Initiative Phase 4 (AQMEII4) aimed at process-oriented evaluation of dry deposition schemes used in regional air quality models. In Activity 2, dry deposition schemes are configured as single-point models at a diverse set of eight northern hemisphere locations with observed ozone fluxes. Using single-point models will enable us to better determine uncertainties related to the representation of processes and parameters and thus understand variability in the simulated dry deposition rates across the regional air quality models participating in AQMEII4 Activity 1 (Galmarini et al., 2021). Here we describe the design of our effort, which allows for quantifying differences among dry deposition schemes driven by identical meteorological and environmental conditions at a variety of sites, minimizing input uncertainty in model evaluation, and identifying responses to meteorology and ecosystem characteristics. Model evaluation against observations will focus on dry deposition of ozone due to the limited long-term flux data for aerosols and other reactive gases. Five out of eight sites examined have at least three and up to twelve years of ozone fluxes, limiting the influence of strong interannual variability in ozone deposition velocities on model evaluation. Here we identify the features in the observed ozone deposition velocities that enable a unique testbed and describe meteorological and biophysical observations that drive the standalone models at each site. Together with Activity 1, Activity 2 is an important step towards advancing predictive ability of dry deposition and thus the lifetimes and concentrations of pollutants and their precursors in near-surface air.
URLs/Downloads:
DOI: A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4)