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Air Quality Model Evaluation International Initiative (AQMEII) - Utrecht, Netherlands The May 8, 2012
Citation:
Galmarini, S., C. Hogrefe, AND S. Rao. Air Quality Model Evaluation International Initiative (AQMEII) - Utrecht, Netherlands The May 8, 2012. IGAC News. International Global Atmospheric Chemistry Project, Boulder, CO, (47):27, (2012).
Impact/Purpose:
The National Exposure Research Laboratory′s (NERL′s)Atmospheric Modeling Division (AMAD) conducts research in support of EPA′s mission to protect human health and the environment. AMAD′s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation′s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.
Description:
The 4th workshop of the Air Quality Model Evaluation International Initiative (AQMEII) was held on May 8 in Utrecht, The Netherlands, in conjunction with the NATO/SPS International Technical Meeting on Air Pollution Modeling and Its Application. AQMEII was launched in 2009 as a long-term forum to monitor and improve the state-of-the-science in regional-scale air-quality models and model evaluation methodologies[Rao et al., 2011]. AQMEII functions through the organization of periodic conference calls, workshops, and coordination of joint modeling activities to facilitate model evaluation and model inter-comparisons. In its first phase, AQMEII organized annual model simulations for 2006 over both Europe and North America using specified input datasets and used the outputs from these simulations to conduct a number of model evaluation analyses. A total of 22 modeling groups from 13 countries participated in the Phase 1 activity.
