Articles | Volume 21, issue 8
https://doi.org/10.5194/acp-21-6079-2021
https://doi.org/10.5194/acp-21-6079-2021
Research article
 | 
22 Apr 2021
Research article |  | 22 Apr 2021

Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses

Graeme Marlton, Andrew Charlton-Perez, Giles Harrison, Inna Polichtchouk, Alain Hauchecorne, Philippe Keckhut, Robin Wing, Thierry Leblanc, and Wolfgang Steinbrecht

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Graeme Marlton on behalf of the Authors (02 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (03 Mar 2021) by Geraint Vaughan
AR by Graeme Marlton on behalf of the Authors (08 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Mar 2021) by Geraint Vaughan
AR by Graeme Marlton on behalf of the Authors (10 Mar 2021)  Manuscript 
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Short summary
A network of Rayleigh lidars have been used to infer the upper-stratosphere temperature bias in ECMWF ERA-5 and ERA-Interim reanalyses during 1990–2017. Results show that ERA-Interim exhibits a cold bias of −3 to −4 K between 10 and 1 hPa. Comparisons with ERA-5 found a smaller bias of 1 K which varies between cold and warm between 10 and 3 hPa, indicating a good thermal representation of the atmosphere to 3 hPa. These biases must be accounted for in stratospheric studies using these reanalyses.
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