Refining multi-model projections of temperature extremes by evaluation against land&ndash;atmosphere coupling diagnostics

Sippel, Sebastian; Zscheischler, Jakob; Mahecha, Miguel D.; Orth, Rene; Reichstein, Markus; Vogel, Martha; Seneviratne, Sonia I.

doi:https://doi.org/10.5194/esd-8-387-2017

Articles | Volume 8, issue 2

https://doi.org/10.5194/esd-8-387-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/esd-8-387-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 2

Research article

|

31 May 2017

Research article |

| 31 May 2017

Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics

Sebastian Sippel, Jakob Zscheischler, Miguel D. Mahecha, Rene Orth, Markus Reichstein, Martha Vogel, and Sonia I. Seneviratne

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Final revised paper (published on 31 May 2017)
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Preprint (discussion started on 27 Oct 2016)
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Interactive discussion

Status: closed

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

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RC1: 'Interesting Results but the paper still needs some work', Anonymous Referee #1, 20 Dec 2016
- AC1: 'Reply to Reviewer #1', Sebastian Sippel, 12 Feb 2017
RC2: 'Interesting analysis, few corrections/clarifications needed', Anonymous Referee #2, 03 Feb 2017
- AC2: 'Reply to Reviewer #2', Sebastian Sippel, 12 Feb 2017

Peer-review completion

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

ED: Reconsider after major revisions (01 Mar 2017) by Sagnik Dey

AR by Sebastian Sippel on behalf of the Authors (07 Mar 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (08 Mar 2017) by Sagnik Dey

RR by Anonymous Referee #1 (21 Mar 2017)

RR by Anonymous Referee #2 (28 Mar 2017)

ED: Publish as is (12 Apr 2017) by Sagnik Dey

AR by Sebastian Sippel on behalf of the Authors (18 Apr 2017)

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Short summary

The present study (1) evaluates land–atmosphere coupling in the CMIP5 multi-model ensemble against an ensemble of benchmarking datasets and (2) refines the model ensemble using a land–atmosphere coupling diagnostic as constraint. Our study demonstrates that a considerable fraction of coupled climate models overemphasize warm-season moisture-limited climate regimes in midlatitude regions. This leads to biases in daily-scale temperature extremes, which are alleviated in a constrained ensemble.