The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States |
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Authors: | Youhua Tang Pius Lee Marina Tsidulko Ho-Chun Huang Jeffery T McQueen Geoffrey J DiMego Louisa K Emmons Robert B Pierce Anne M Thompson Hsin-Mu Lin Daiwen Kang Daniel Tong Shaocai Yu Rohit Mathur Jonathan E Pleim Tanya L Otte George Pouliot Jeffrey O Young Kenneth L Schere Paula M Davidson Ivanka Stajner |
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Institution: | 1. Scientific Applications International Corporation, Camp Springs, MD, USA 2. NOAA/NWS/NCEP/EMC, W/NP22 Room 207, 5200 Auth Road, Camp Springs, MD, 20746-4304, USA 3. National Center for Atmospheric Research, Boulder, CO, USA 4. NOAA/NESDIS Advanced Satellite Products Branch, Madison, WI, USA 5. Department of Meteorology, Pennsylvania State University, University Park, PA, USA 6. Science and Technology Corporation, Hampton, VA, USA 7. EPA National Exposure Research Laboratory, Research Triangle Park, NC, USA 8. Office of Science and Technology, NOAA/National Weather Service, Silver Spring, MD, USA 9. Noblis Inc, Falls Church, VA, USA
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Abstract: | A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air
Quality Forecast Guidance over continental USA. We examined six LBCS: the fixed profile LBC, three global LBCs, and two ozonesonde
LBCs for summer 2006. The simulated results from these six runs are compared to IONS ozonesonde and surface ozone measurements
from August 1 to 5, 2006. The choice of LBCs can affect the ozone prediction throughout the domain, and mainly influence the
predictions in upper altitude or near inflow boundaries, such as the US west coast and the northern border. Statistical results
shows that the use of global model predictions for LBCs could improve the correlation coefficients of surface ozone prediction
over the US west coast, but could also increase the ozone mean bias in most regions of the domain depending on global models.
In this study, the use of the MOZART (Model for Ozone And Related chemical Tracers) prediction for CMAQ (Community Multiscale
Air Quality) LBC shows a better surface ozone prediction than that with fixed LBC, especially over the US west coast. The
LBCs derived from ozonesonde measurements yielded better O3 correlations in the upper troposphere. |
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Keywords: | Air quality model CMAQ Boundary condition Ozonesonde AIRNOW Chemical transport model Ozone prediction |
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