A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation

Dragani, Rossana

doi:https://doi.org/10.5194/acp-16-8539-2016

Articles | Volume 16, issue 13

https://doi.org/10.5194/acp-16-8539-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-8539-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 13

Research article

|

13 Jul 2016

Research article |

| 13 Jul 2016

A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation

Rossana Dragani

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Final revised paper (published on 13 Jul 2016)
Preprint (discussion started on 10 Mar 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee report', Anonymous Referee #1, 24 Mar 2016
RC2: 'Reviewer comment on A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation by R. Dragani', Anonymous Referee #2, 05 Apr 2016
RC3: 'Referee comment', Simon Chabrillat, 11 May 2016
AC1: 'Reply to comments to the paper “A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation” (R. Dragani)', Rossana Dragani, 20 Jun 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Rossana Dragani on behalf of the Authors (21 Jun 2016) Author's response Manuscript

ED: Publish subject to technical corrections (26 Jun 2016) by William Lahoz (deceased)

AR by Rossana Dragani on behalf of the Authors (26 Jun 2016) Author's response Manuscript

Short summary

We present an assessment of ultraviolet nadir-backscatter and infrared limb-emission ozone data assimilation. Understanding the differences in the impact produced by the assimilation of limb and nadir ozone data is relevant to many applications, including climate reanalysis and air quality. The results show the potential and limitations of each dataset and support the need for a more balanced long-term availability of both types of sensors than currently envisaged.