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  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
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  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Geosci. Model Dev., 10, 4563-4575, 2017
https://doi.org/10.5194/gmd-10-4563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model description paper
15 Dec 2017
A method to encapsulate model structural uncertainty in ensemble projections of future climate: EPIC v1.0
Jared Lewis et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
SC1: 'Executive Editor Comment on "A method to encapsulate model structural uncertainty in ensemble projections of future climate"', Astrid Kerkweg, 04 Apr 2017 Printer-friendly Version 
 
RC1: 'Review of Lewis et, al. A method to encapsulate model structural uncertainty in ensemble projections of future climate', Anonymous Referee #1, 08 May 2017 Printer-friendly Version 
 
RC2: 'Insufficient treatment of structural uncertainty', Anonymous Referee #2, 09 May 2017 Printer-friendly Version 
 
AC1: 'Response to the reviewers', J. Lewis, 13 Jun 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by J. Lewis on behalf of the Authors (10 Jul 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (11 Jul 2017) by Volker Grewe
ED: Reconsider after major revisions (07 Aug 2017) by Volker Grewe  
AR by J. Lewis on behalf of the Authors (17 Oct 2017)  Author's response  Manuscript
ED: Publish as is (19 Oct 2017) by Volker Grewe
CC BY 4.0
Publications Copernicus
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Short summary
The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate pattern scaling to expand a small number of daily maximum and minimum surface temperature projections into an ensemble that captures the structural uncertainty between climate models. The method is useful for providing projections of changes in climate to users wishing to investigate the impacts of climate change in a probabilistic and computationally efficient way.
The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate...
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