Articles | Volume 11, issue 11
Atmos. Meas. Tech., 11, 6043–6058, 2018
https://doi.org/10.5194/amt-11-6043-2018
Atmos. Meas. Tech., 11, 6043–6058, 2018
https://doi.org/10.5194/amt-11-6043-2018

Research article 08 Nov 2018

Research article | 08 Nov 2018

Improvements to a long-term Rayleigh-scatter lidar temperature climatology by using an optimal estimation method

Ali Jalali et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Robert Sica on behalf of the Authors (27 Jul 2018)  Author's response    Manuscript
ED: Reconsider after major revisions (29 Aug 2018) by Gerd Baumgarten
AR by Anna Wenzel on behalf of the Authors (06 Sep 2018)  Author's response
ED: Referee Nomination & Report Request started (06 Sep 2018) by Gerd Baumgarten
RR by Anonymous Referee #1 (16 Sep 2018)
RR by Anonymous Referee #4 (24 Sep 2018)
RR by Anonymous Referee #2 (24 Sep 2018)
ED: Publish subject to minor revisions (review by editor) (04 Oct 2018) by Gerd Baumgarten
AR by Svenja Lange on behalf of the Authors (12 Oct 2018)  Author's response
ED: Publish subject to minor revisions (review by editor) (23 Oct 2018) by Gerd Baumgarten
AR by Anna Wenzel on behalf of the Authors (24 Oct 2018)  Author's response
ED: Publish subject to technical corrections (24 Oct 2018) by Gerd Baumgarten
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Short summary
We use 16 years of lidar (laser radar) temperature measurements of the middle atmosphere to form a climatology for use in studying atmospheric temperature change using an optimal estimation method (OEM). Using OEM allows us to calculate a complete systematic and random uncertainty budget and allows for an additional 10–15 km in altitude for the measurement to be used, improving our ability to detect atmospheric temperature change up to 100 km of altitude.