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

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 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
Download
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.
Altmetrics
Final-revised paper
Preprint