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Climate of the Past An interactive open-access journal of the European Geosciences Union
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CP | Articles | Volume 15, issue 4
Clim. Past, 15, 1275–1301, 2019
https://doi.org/10.5194/cp-15-1275-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Paleoclimate data synthesis and analysis of associated uncertainty...

Clim. Past, 15, 1275–1301, 2019
https://doi.org/10.5194/cp-15-1275-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 05 Jul 2019

Research article | 05 Jul 2019

Combining a pollen and macrofossil synthesis with climate simulations for spatial reconstructions of European climate using Bayesian filtering

Nils Weitzel et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (22 Dec 2018) by André Paul
AR by Nils Weitzel on behalf of the Authors (02 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Mar 2019) by André Paul
RR by Anonymous Referee #1 (18 Apr 2019)
RR by Anonymous Referee #2 (20 May 2019)
ED: Publish subject to minor revisions (review by editor) (23 May 2019) by André Paul
AR by Nils Weitzel on behalf of the Authors (31 May 2019)  Author's response    Manuscript
ED: Publish as is (05 Jun 2019) by André Paul
AR by Nils Weitzel on behalf of the Authors (05 Jun 2019)  Author's response    Manuscript
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Short summary
A new method for probabilistic spatial reconstructions of past climate states is presented, which combines pollen data with a multi-model ensemble of climate simulations in a Bayesian framework. The approach is applied to reconstruct summer and winter temperature in Europe during the mid-Holocene. Our reconstructions account for multiple sources of uncertainty and are well suited for quantitative statistical analyses of the climate under different forcing conditions.
A new method for probabilistic spatial reconstructions of past climate states is presented,...
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