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Impact of RACM2, halogen chemistry, and updated ozone deposition velocity onhemispheric ozone predictions
Sarwar, G., J. Xing, J. Godowitch, D. Schwede, AND R. Mathur. Impact of RACM2, halogen chemistry, and updated ozone deposition velocity onhemispheric ozone predictions. Chapter 40, Air Pollution Modeling & Its Application XXIII. Springer, New York, NY, , 247-251, (2014).
We incorporate the Regional Atmospheric Chemistry Mechanism (RACM2) into the Community Multiscale Air Quality (CMAQ) hemispheric model and compare model predictions to those obtained using the existing Carbon Bond chemical mechanism with the updated toluene chemistry (CB05TU). The RACM2 enhances monthly mean ozone by 2-10 ppbv in polluted areas compared to the CB05TU while reducing mean ozone by 2-6 ppbv in remote areas. We develop an effective halogen reaction that can consume ozone over the gulfs and oceans. The current CMAQ model uses substantially lower ozone deposition velocity over water compared to observed data. We modify the CMAQ deposition velocity to account for the enhanced deposition due to chemical interactions between ozone and oceanic iodide. The effective halogen reaction and enhanced deposition velocity reduce monthly mean ozone by 2-8 ppbv over water. The majority of the reduction occurs via the halogen reaction. A comparison of model predictions with available observed profile reveals that the RACM2 over-predicts surface ozone in polluted areas while improving the comparison in remote areas. Model predictions with the halogen chemistry and enhanced deposition velocity compare better with the observed data.
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.
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Record Details:Record Type: DOCUMENT (BOOK CHAPTER)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL EXPOSURE RESEARCH LAB
ATMOSPHERIC MODELING DIVISION
ATMOSPHERIC MODEL DEVELOPMENT BRANCH