On studying relations between time series in climatology

Privalsky, V.

doi:https://doi.org/10.5194/esd-6-389-2015

Articles | Volume 6, issue 1

https://doi.org/10.5194/esd-6-389-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/esd-6-389-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 6, issue 1

Research article

|

24 Jun 2015

Research article |

| 24 Jun 2015

On studying relations between time series in climatology

V. Privalsky

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Final revised paper (published on 24 Jun 2015)
Preprint (discussion started on 01 Apr 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C181: 'On Studying Relations between Time Series in Climatology', Anonymous Referee #1, 21 Apr 2015
- AC C196: 'response to comments, article 302050', Victor Privalsky, 26 Apr 2015
SC C232: 'Reply to the Author', Leonid Piterbarg, 06 May 2015
SC C290: 'Comment', Alexander Gluhovsky, 14 May 2015
- AC C315: 'Suggestion by Prof. Gluhovsky', Victor Privalsky, 19 May 2015
  - SC C319: 'Comment', Alexander Gluhovsky, 20 May 2015
RC C304: 'Suggest comparison with network analysis', Anonymous Referee #2, 18 May 2015
- AC C316: 'reply to the anonimous suggestion', Victor Privalsky, 19 May 2015
  - RC C318: 'Modelling vs forecasting', Anonymous Referee #2, 19 May 2015
    - AC C322: 'Reply # 2 to the anonimous reviewer', Victor Privalsky, 22 May 2015
  - RC C323: 'Reply', Anonymous Referee #2, 25 May 2015

Peer-review completion

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

AR by Victor Privalsky on behalf of the Authors (26 May 2015) Manuscript

ED: Publish subject to technical corrections (05 Jun 2015) by Gerrit Lohmann

AR by Victor Privalsky on behalf of the Authors (08 Jun 2015) Manuscript

Short summary

Connections between time series should be studied with methods developed in time series analysis rather than with cross-correlation coefficients and regression equations. The approach includes time series modeling in both time and frequency domains. Two climatic time series with zero cross correlation are shown to be closely connected at timescales from 2.5 to 10 years and a full time- and frequency-domain description of the system is given for this teleconnection in a climate system.