Influence of proxy data uncertainty on data assimilation for the past climate

Matsikaris, Anastasios; Widmann, Martin; Jungclaus, Johann

doi:https://doi.org/10.5194/cp-12-1555-2016

Articles | Volume 12, issue 7

https://doi.org/10.5194/cp-12-1555-2016

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

https://doi.org/10.5194/cp-12-1555-2016

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

Articles | Volume 12, issue 7

Research article

|

21 Jul 2016

Research article |

| 21 Jul 2016

Influence of proxy data uncertainty on data assimilation for the past climate

Anastasios Matsikaris, Martin Widmann, and Johann Jungclaus

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Final revised paper (published on 21 Jul 2016)
Preprint (discussion started on 18 Jan 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Data assimilation method cannot work', Anonymous Referee #1, 19 Feb 2016
RC2: 'comments', Anonymous Referee #2, 24 Mar 2016
AC1: 'Authors' response', Anastasios Matsikaris, 30 Mar 2016

Peer-review completion

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

ED: Reconsider after major revisions (05 May 2016) by Volker Rath

AR by Anastasios Matsikaris on behalf of the Authors (07 Jun 2016) Author's response Manuscript

ED: Publish as is (04 Jul 2016) by Volker Rath

Short summary

We have assimilated proxy-based (PAGES 2K) and instrumental (HadCRUT3v) observations into a General Circulation Model (MPI-ESM-CR). Assimilating instrumental data improves the performance of Data Assimilation. No skill on small spatial scales is however found for either of the two schemes. Errors in the assimilated data are therefore not the main reason for this lack of skill; continental mean temperatures cannot provide skill on small spatial scales in palaeoclimate reconstructions.