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Methods for Improving Fine-Scale Applications of the WRF-CMAQ Modeling System
Citation:
Appel, W., R. Gilliam, Jon Pleim, G. Pouliot, C. Hogrefe, David-C Wong, R. Mathur, S. Roselle, AND D. Kang. Methods for Improving Fine-Scale Applications of the WRF-CMAQ Modeling System. Meteorology and Climate – Modeling for Air Quality Conference, Sacramento, CA, September 16 - 18, 2015.
Impact/Purpose:
The National Exposure Research Laboratory’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:
Presentation on the work in AMAD to improve fine-scale (e.g. 4km and 1km) WRF-CMAQ simulations. Includes iterative analysis, updated sea surface temperature and snow cover fields, and inclusion of impervious surface information (urban parameterization).
URLs/Downloads:
http://aqrc.ucdavis.edu/event/meteorology-and-climate-modeling-for-air-quality-mac-maq/