Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model

Fallah, Bijan; Russo, Emmanuele; Acevedo, Walter; Mauri, Achille; Becker, Nico; Cubasch, Ulrich

doi:https://doi.org/10.5194/cp-14-1345-2018

Articles | Volume 14, issue 9

https://doi.org/10.5194/cp-14-1345-2018

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

Special issue:

Paleoclimate data synthesis and analysis of associated uncertainty...

https://doi.org/10.5194/cp-14-1345-2018

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

Articles | Volume 14, issue 9

Research article

|

24 Sep 2018

Research article |

| 24 Sep 2018

Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model

Bijan Fallah, Emmanuele Russo, Walter Acevedo, Achille Mauri, Nico Becker, and Ulrich Cubasch

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Final revised paper (published on 24 Sep 2018)
Preprint (discussion started on 20 Nov 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Towards High Resolution Climate Reconstruction Using an Off-line Data Assimilation and COSMO-CLM 5.00 Model” by Fallah et al.', Anonymous Referee #1, 30 Nov 2017
- AC1: 'Answer to reviewer 1', Bijan Fallah, 27 Feb 2018
RC2: 'Review of “Towards High Resolution Climate Reconstruction Using an Off-line Data Assimilation and COSMO-CLM 5.00 Model”', Anonymous Referee #2, 18 Dec 2017
- AC2: 'Answer to reviewer 2', Bijan Fallah, 27 Feb 2018
RC3: 'Review of cp-2017-140', Anonymous Referee #3, 20 Dec 2017
- AC3: 'Answer to reviewer 3', Bijan Fallah, 27 Feb 2018

Peer-review completion

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

ED: Reconsider after major revisions (14 Mar 2018) by Christian Ohlwein

AR by User deleted account on behalf of the Authors (09 May 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jul 2018) by Christian Ohlwein

RR by Anonymous Referee #1 (01 Aug 2018)

ED: Publish as is (05 Sep 2018) by Christian Ohlwein

AR by User deleted account on behalf of the Authors (06 Sep 2018)

Short summary

We try to test and evaluate an approach for using two main sources of information on the climate of the past: climate model simulations and proxies. This is done via data assimilation (DA), a method that blends these two sources of information in an intelligent way. However, DA and climate models are computationally very expensive. Here, we tested the ability of a computationally affordable DA to reconstruct high-resolution climate fields.