Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
ACP | Articles | Volume 18, issue 2
Atmos. Chem. Phys., 18, 535–554, 2018
https://doi.org/10.5194/acp-18-535-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Quadrennial Ozone Symposium 2016 – Status and trends...

Atmos. Chem. Phys., 18, 535–554, 2018
https://doi.org/10.5194/acp-18-535-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Jan 2018

Research article | 18 Jan 2018

The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments

Robert P. Damadeo et al.
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 Robert Damadeo on behalf of the Authors (27 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Nov 2017) by Rolf Müller
RR by Anonymous Referee #2 (30 Nov 2017)
RR by Anonymous Referee #1 (04 Dec 2017)
ED: Publish subject to technical corrections (08 Dec 2017) by Rolf Müller
Publications Copernicus
Download
Short summary
An ozone trend analysis that compensates for sampling biases is applied to sparsely sampled occultation data sets. International assessments have noted deficiencies in past trend analyses and this work addresses those sources of uncertainty. The nonuniform sampling patterns in data sets and drifts between data sets can affect derived recovery trends by up to 2 % decade−1. The limitations inherent to all techniques are also described and a potential path forward towards resolution is presented.
An ozone trend analysis that compensates for sampling biases is applied to sparsely sampled...
Citation