Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/acp-18-8373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-8373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Research article
 | 
15 Jun 2018
Research article |  | 15 Jun 2018

Maximizing ozone signals among chemical, meteorological, and climatological variability

Benjamin Brown-Steiner, Noelle E. Selin, Ronald G. Prinn, Erwan Monier, Simone Tilmes, Louisa Emmons, and Fernando Garcia-Menendez

Viewed

Total article views: 3,083 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,088 900 95 3,083 354 85 72
  • HTML: 2,088
  • PDF: 900
  • XML: 95
  • Total: 3,083
  • Supplement: 354
  • BibTeX: 85
  • EndNote: 72
Views and downloads (calculated since 28 Nov 2017)
Cumulative views and downloads (calculated since 28 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,083 (including HTML, PDF, and XML) Thereof 3,047 with geography defined and 36 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 14 Jan 2025
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint