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Four-dimensional evaluation of regional air quality models
Citation:
Hogrefe, C., S. Galmarini, E. Solazzo, P. Liu, G. Pouliot, R. Mathur, AND S. Roselle. Four-dimensional evaluation of regional air quality models. 15th Annual CMAS Conf, Chapel Hill, NC, October 24 - 26, 2016.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
Description:
We present highlights of the results obtained in the third phase of the Air Quality Model Evaluation International Initiative (AQMEII3). Activities in AQMEII3 were focused on evaluating the performance of global, hemispheric and regional modeling systems over Europe and North America and on comparing source / receptor relationships simulated through perturbation experiments reflecting emission changes in upwind continents. The work performed under AQMEII3 was coordinated with ongoing work under the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP) framework. The list of highlights to be presented includes the following: A multi-model analysis of tracers of lower tropospheric, free tropospheric, and stratospheric ozone concentrations specified at the lateral boundaries of regional-scale simulations over North America An analysis of four annual CMAQ simulations over North America using boundary conditions derived from four different global/hemispheric models A multi-model analysis of the effects of perturbed emissions and boundary conditions simulated by regional models participating in AQMEII3 A comparison of the impacts of perturbed emissions in East Asia on air quality over North America simulated by global and linked global/regional models.
