Articles | Volume 8, issue 9
https://doi.org/10.5194/gmd-8-2959-2015
https://doi.org/10.5194/gmd-8-2959-2015
Development and technical paper
 | 
25 Sep 2015
Development and technical paper |  | 25 Sep 2015

Evaluation of modeled surface ozone biases as a function of cloud cover fraction

H. C. Kim, P. Lee, F. Ngan, Y. Tang, H. L. Yoo, and L. Pan

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Cited articles

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Chai, T., Kim, H.-C., Lee, P., Tong, D., Pan, L., Tang, Y., Huang, J., McQueen, J., Tsidulko, M., and Stajner, I.: Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO2 measurements, Geosci. Model Dev., 6, 1831–1850, https://doi.org/10.5194/gmd-6-1831-2013, 2013.
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Short summary
This study focuses on the evaluation of regional air quality model's performance based on the cloud information from satellites. While cloud information is crucial in photochemistry model, the definitions of cloud fraction from model and satellite are not physically consistent. We demonstrate that improper modeling of cloud fraction is correlated with surface ozone bias, and we also show that current model cloud field might be too bright, causing an overestimation of surface ozone level.
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