Articles | Volume 18, issue 11
Atmos. Chem. Phys., 18, 8373–8388, 2018
https://doi.org/10.5194/acp-18-8373-2018
Atmos. Chem. Phys., 18, 8373–8388, 2018
https://doi.org/10.5194/acp-18-8373-2018

Research article 15 Jun 2018

Research article | 15 Jun 2018

Maximizing ozone signals among chemical, meteorological, and climatological variability

Benjamin Brown-Steiner et al.

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Latest update: 23 Sep 2021
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Short summary
Detecting signals in observations and simulations of atmospheric chemistry is difficult due to the underlying variability in the chemistry, meteorology, and climatology. Here we examine the scale dependence of ozone variability and explore strategies for reducing or averaging this variability and thereby enhancing ozone signal detection capabilities. We find that 10–15 years of temporal averaging, and some level of spatial averaging, reduces the risk of overconfidence in ozone signals.
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