A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events

Martineau, Patrick; Son, Seok-Woo; Taguchi, Masakazu; Butler, Amy H.

doi:https://doi.org/10.5194/acp-18-7169-2018

Articles | Volume 18, issue 10

https://doi.org/10.5194/acp-18-7169-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The SPARC Reanalysis Intercomparison Project (S-RIP) (ACP/ESSD...

https://doi.org/10.5194/acp-18-7169-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 10

Research article

|

24 May 2018

Research article |

| 24 May 2018

A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events

Patrick Martineau, Seok-Woo Son, Masakazu Taguchi, and Amy H. Butler

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Final revised paper (published on 24 May 2018)
Preprint (discussion started on 01 Nov 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comments on: A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events (Minor)', Anonymous Referee #2, 29 Nov 2017
- AC1: 'Response to referee 2', Patrick Martineau, 07 Mar 2018
RC2: 'Review Report for “A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events” by Martineau et al,', Anonymous Referee #3, 31 Jan 2018
- AC2: 'Response to referee 3', Patrick Martineau, 07 Mar 2018

Peer-review completion

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

AR by Patrick Martineau on behalf of the Authors (07 Mar 2018)

ED: Publish as is (23 Mar 2018) by Mathias Palm

AR by Patrick Martineau on behalf of the Authors (01 May 2018)

Short summary

This study evaluates the agreement between eight reanalysis datasets by comparing zonal-mean zonal winds and the forcing terms of the zonal-mean momentum equation during sudden stratospheric warming events. Results show that the spread between datasets increases exponentially with height and is largest during the most intense sudden stratospheric warming events. The largest uncertainties arise from differences in the mean meridional circulation and horizontal fluxes of momentum by eddies.