Multivariate analysis of Kelvin wave seasonal variability in ECMWF L91 analyses

Blaauw, Marten; Žagar, Nedjeljka

doi:https://doi.org/10.5194/acp-18-8313-2018

Articles | Volume 18, issue 11

https://doi.org/10.5194/acp-18-8313-2018

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

https://doi.org/10.5194/acp-18-8313-2018

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

Articles | Volume 18, issue 11

Research article

|

14 Jun 2018

Research article |

| 14 Jun 2018

Multivariate analysis of Kelvin wave seasonal variability in ECMWF L91 analyses

Marten Blaauw and Nedjeljka Žagar

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Final revised paper (published on 14 Jun 2018)
Preprint (discussion started on 21 Feb 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of the Manuscript by Blaauw and Zagar', George Kiladis, 16 Mar 2018
- AC1: 'Response', Nedjeljka Zagar, 08 Apr 2018
RC2: 'Multivariate analysis of Kelvin wave seasonal variability in ECMWF L91 analyses', Anonymous Referee #2, 26 Mar 2018
- AC3: 'Response', Nedjeljka Zagar, 08 Apr 2018
RC3: 'Correction to my review by RC2', Anonymous Referee #2, 27 Mar 2018
- AC2: 'response', Nedjeljka Zagar, 08 Apr 2018

Peer-review completion

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

AR by Nedjeljka Žagar on behalf of the Authors (06 May 2018) Author's response Manuscript

ED: Publish as is (24 May 2018) by Timothy J. Dunkerton

AR by Nedjeljka Žagar on behalf of the Authors (01 Jun 2018)

Short summary

The equatorial Kelvin wave (KW) is the most studied wave feature of the tropical atmosphere, yet not well quantified. Our study simultaneously analyses wind and temperature fields of KWs from ECMWF analyses without any prior data filtering. We provide the KW energy spectrum and its seasonal variability for three KW frequency ranges. We developed a webpage to show the spatial structure of KWs propagating in time through the ECMWF data, http://modes.fmf.uni-lj.si, updated on a daily basis.