Articles | Volume 16, issue 5
Atmos. Chem. Phys., 16, 3127–3144, 2016
https://doi.org/10.5194/acp-16-3127-2016
Atmos. Chem. Phys., 16, 3127–3144, 2016
https://doi.org/10.5194/acp-16-3127-2016

Research article 09 Mar 2016

Research article | 09 Mar 2016

The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign

Xiangshang Li et al.

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Cited articles

Banta, R. M., Senff, C. J., White, A. B., Trainer, M., McNider, R. T., Valente, R. J., Mayor, S. D., Alvarez, R. J., Hardesty, R. M., and Parrish, D.: Daytime buildup and nighttime transport of urban ozone in the boundary layer during a stagnation episode, J. Geophys. Res.-Atmos., 103, 22519–22544, 1998.
Banta, R. M., Senff, C. J., Nielsen-Gammon, J., Darby, L. S., Ryerson, T. B., Alvarez, R. J., Sandberg, S. R., Williams, E. J., and Trainer, M.: A bad air day in Houston, B. Am. Meteorol. Soc., 86, 657–669, https://doi.org/10.1175/bams-86-5-657, 2005.
Byun, D. and Schere, K. L.: Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, https://doi.org/10.1115/1.2128636, 2006.
Byun, D., Ngan, F., Li, X., Lee, D., and Kim, S.: Analysis of Air Pollution Events in Summer 2006 and Preparation of Model Input Data for the Assessment Study, Grant No. 582-5-64594-FY07-02, Final Report, Evaluation of Retrospective MM5 and CMAQ Simulations of TexAQS-II Period with CAMS Measurements, Texas Commission on Environmental Quality, Austin, Texas, USA, 25 pp., 2008,
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We performed a a month-long sensitivity study of obs-nudging on meteorology and ozone chemistry. Notable increases in temperature and wind performance were observed after obs-nudging with hourly nudging files. PBL height also matched better in the sensitivity case. The model ozone improved at ground level and aloft but to a lesser degree. An examination of a high ozone episode showed that the current nudging process does not perform consistently – quite well at times while poor at other times.
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