Multi-annual modes in the 20th century temperature variability in reanalyses and CMIP5 models

Järvinen, Heikki; Seitola, Teija; Silén, Johan; Räisänen, Jouni

doi:https://doi.org/10.5194/gmd-9-4097-2016

Articles | Volume 9, issue 11

https://doi.org/10.5194/gmd-9-4097-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-4097-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 11

Model evaluation paper

| Highlight paper

|

17 Nov 2016

Model evaluation paper | Highlight paper |

| 17 Nov 2016

Multi-annual modes in the 20th century temperature variability in reanalyses and CMIP5 models

Heikki Järvinen, Teija Seitola, Johan Silén, and Jouni Räisänen

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Final revised paper (published on 17 Nov 2016)
Supplement to the final revised paper
Preprint (discussion started on 24 Mar 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of manuscript', Anonymous Referee #1, 29 Jun 2016
- AC1: 'Response to referee 1', Teija Seitola, 07 Oct 2016
RC2: 'Review of "An evaluation of current capabilities of modelling low-frequency climate variability"', Anonymous Referee #2, 01 Aug 2016
- AC2: 'Response to referee 2', Teija Seitola, 07 Oct 2016
RC3: 'Interactive comment on “An evaluation of current capabilities of modelling low-frequency climate variability” by Heikki Järvinen et al.', Anonymous Referee #3, 23 Aug 2016
- AC3: 'Response to referee 3', Teija Seitola, 07 Oct 2016

Peer-review completion

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

AR by Teija Seitola on behalf of the Authors (07 Oct 2016) Author's response Manuscript

ED: Publish as is (25 Oct 2016) by Richard Neale

AR by Teija Seitola on behalf of the Authors (27 Oct 2016)

Short summary

This study compares the 20th century multi-annual climate variability modes in reanalysis data sets (ERA-20C and 20CR) and 12 climate model simulations using the randomised multi-channel singular spectrum analysis. The reanalysis data sets are remarkably similar on all timescales, except that the spectral power in ERA-20C is systematically slightly higher than in 20CR. None of the climate models closely reproduce all aspects of the reanalysis spectra, although many aspects are represented well.