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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dene Bowdalo on behalf of the Authors (07 Jun 2016)  Author's response   Manuscript 
ED: Publish as is (15 Jun 2016) by Robert Harley
AR by Dene Bowdalo on behalf of the Authors (15 Jun 2016)
Download
Short summary
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.
Altmetrics
Final-revised paper
Preprint