Articles | Volume 16, issue 13
https://doi.org/10.5194/acp-16-8295-2016
https://doi.org/10.5194/acp-16-8295-2016
Research article
 | 
11 Jul 2016
Research article |  | 11 Jul 2016

Spectral analysis of atmospheric composition: application to surface ozone model–measurement comparisons

Dene R. Bowdalo, Mathew J. Evans, and Eric D. Sofen

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Cited articles

Altshuler, S., Arcado, T., and Lawson, D.: Weekday vs. weekend ambient ozone concentrations – discussion and hypotheses with focus on northern California, J. Air Waste Manage., 45, 967–972, https://doi.org/10.1080/10473289.1995.10467428, 1995.
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Beirle, S., Platt, U., Wenig, M., and Wagner, T.: Weekly cycle of NO2 by GOME measurements: a signature of anthropogenic sources, Atmos. Chem. Phys., 3, 2225–2232, https://doi.org/10.5194/acp-3-2225-2003, 2003.
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q. B., Liu, H. G. Y., Mickley, L. J., and Schultz, M. G.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res.-Atmos., 106, 23073–23095, https://doi.org/10.1029/2001jd000807, 2001.
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We introduce a new methodology for the assessment of atmospheric models with observations. We apply a spectral analysis methodology to hourly ozone observations and the equivalent model output. The spectrally transformed observational data show significant peaks on daily and annual timescales. Comparison between the amplitude and phase of these peaks introduces a new comparison methodology between model and measurements. We find the model shows significant biases on an annual timescale.
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