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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, 1223–1249, 2019
https://doi.org/10.5194/cp-15-1223-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Clim. Past, 15, 1223–1249, 2019
https://doi.org/10.5194/cp-15-1223-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Jul 2019

Research article | 02 Jul 2019

Mid-Holocene climate change over China: model–data discrepancy

Yating Lin et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (08 Feb 2019) by Marie-France Loutre
AR by Haibin Wu on behalf of the Authors (21 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2019) by Marie-France Loutre
RR by Anonymous Referee #2 (16 Apr 2019)
RR by Patrick Bartlein (09 May 2019)
ED: Reconsider after major revisions (09 May 2019) by Marie-France Loutre
AR by Haibin Wu on behalf of the Authors (16 May 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (17 May 2019) by Marie-France Loutre
AR by Haibin Wu on behalf of the Authors (27 May 2019)  Author's response    Manuscript
ED: Publish as is (04 Jun 2019) by Marie-France Loutre
Publications Copernicus
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Short summary
The mid-Holocene has been an excellent target for comparing models and data. This work shows that, over China, all the ocean–atmosphere general circulation models involved in PMIP3 show a very large discrepancy with pollen data reconstruction when comparing annual and seasonal temperature. It demonstrates that to reconcile models and data and to capture the signature of seasonal thermal response, it is necessary to integrate non-linear processes, particularly those related to vegetation changes.
The mid-Holocene has been an excellent target for comparing models and data. This work shows...
Citation