Assimilating monthly precipitation data in a paleoclimate data assimilation framework

Valler, Veronika; Brugnara, Yuri; Franke, Jörg; Brönnimann, Stefan

doi:https://doi.org/10.5194/cp-16-1309-2020

Articles | Volume 16, issue 4

Clim. Past, 16, 1309–1323, 2020

https://doi.org/10.5194/cp-16-1309-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Clim. Past, 16, 1309–1323, 2020

https://doi.org/10.5194/cp-16-1309-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 4

Research article 24 Jul 2020

Research article | 24 Jul 2020

Assimilating monthly precipitation data in a paleoclimate data assimilation framework

Veronika Valler et al.

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Final revised paper (published on 24 Jul 2020)
Supplement to the final revised paper
Preprint (discussion started on 04 Dec 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of "Assimilating monthly precipitation data in a paleoclimate data assimilation framework"', Anonymous Referee #1, 06 Jan 2020
- AC1: 'Reply to Referee 1', Veronika Valler, 15 Apr 2020
RC2: 'Review of CP-2019-137', Anonymous Referee #2, 18 Mar 2020
- AC2: 'Reply to Referee 2', Veronika Valler, 15 Apr 2020

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (01 May 2020) by Chantal Camenisch

AR by Veronika Valler on behalf of the Authors (18 May 2020) Author's response Manuscript

ED: Publish subject to technical corrections (04 Jun 2020) by Chantal Camenisch

Short summary

Data assimilation is becoming more and more important for past climate reconstructions. The assimilation of monthly resolved precipitation information has not been explored much so far. In this study we analyze the impact of assimilating monthly precipitation amounts and the number of wet days within an existing paleoclimate data assimilation framework. We find increased skill in the reconstruction, suggesting that monthly precipitation can constitute valuable input for future reconstructions.