首页 | 本学科首页   官方微博 | 高级检索  
     检索      


The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States
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
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
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.
Keywords:Air quality model  CMAQ  Boundary condition  Ozonesonde  AIRNOW  Chemical transport model  Ozone prediction
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号