Atmos. Chem. Phys. Discuss., 9, 17851-17901, 2009
www.atmos-chem-phys-discuss.net/9/17851/2009/
doi:10.5194/acpd-9-17851-2009
© Author(s) 2009. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Seasonal climate and air quality simulations for the northeastern US – Part 1: Model evaluation
H. Mao1, M. Chen2, J. D. Hegarty1, R. W. Talbot1, J. P. Koermer3, A. M. Thompson4, and M. A. Avery5
1Institute for the Study of Earth, Oceans, and Space, Climate Change Research Center, University of New Hampshire, Durham, New Hampshire 03824, USA
2The Earth and Sun Systems Laboratory, National Center of Atmospheric Research, Boulder, Colorado 80305, USA
3Department of Atmospheric Science & Chemistry, Plymouth State University, Plymouth, New Hampshire 03264, USA
4Department of Meteorology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
5NASA Langley Research Center, Chemistry and Dynamics Branch, Hampton, Virginia 23681, USA

Abstract. Regional climate and air quality simulations were conducted for summers 2001–2005 in the eastern US and subjected to extensive evaluation using various ground and airborne measurements. Climate evaluation focused on transport by comparing modeled dominant map types with ones from reanalysis. Reasonable agreement was found for their frequency of occurrence and distinctness of circulation patterns. The two most frequent map types from reanalysis were the Bermuda High (22%) and passage of a Canadian cold frontal over the northeastern US (20%). The model captured their frequency of occurrence at 25% and 18% respectively. The simulated five average distributions of daily 1-h ozone (O3) daily maxima using the Community Multiscale Air Quality (CMAQ) modeling system reproduced salient features in observations. This suggests that the ability of the regional climate model to depict transport processes accurately is critical for reasonable simulations of surface O3. Comparison of mean bias, root mean square error, and index of agreement for CMAQ summer surface 8-h O3 daily maxima and observations showed −0.6±14 nmol/mol, 14 nmol/mol, and 71% respectively. CMAQ performed best in moderately polluted conditions and less satisfactorily in highly polluted ones. This highlights the common problem of overestimating/underestimating lower/higher modeled O3 levels. Diagnostic analysis suggested that significant overestimation of inland nighttime low O3 mixing ratios may be attributed to underestimates of nitric oxide (NO) emissions at night. The absence of the second daily peak in simulations for the Appledore Island marine site possibly resulted from coarse grid resolution misrepresentation of land surface type. Comparison with shipboard measurements suggested that CMAQ has an inherent problem of underpredicting O3 levels in continental outflow. Modeled O3 vertical profiles exhibited a lack of structure indicating that key processes missing from CMAQ, such as lightning produced NO and stratospheric intrusions, are important for accurate upper tropospheric representations.

Citation: Mao, H., Chen, M., Hegarty, J. D., Talbot, R. W., Koermer, J. P., Thompson, A. M., and Avery, M. A.: Seasonal climate and air quality simulations for the northeastern US – Part 1: Model evaluation, Atmos. Chem. Phys. Discuss., 9, 17851-17901, doi:10.5194/acpd-9-17851-2009, 2009.
 
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