Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Clim. Past, 13, 421-436, 2017
http://www.clim-past.net/13/421/2017/
doi:10.5194/cp-13-421-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
08 May 2017
Reconstructing paleoclimate fields using online data assimilation with a linear inverse model
Walter A. Perkins and Gregory J. Hakim
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Review on Reconstructing past climate by using proxy data and a linear climate model Walter A. Perkins and Gregory J. Hakim', Anonymous Referee #1, 12 Jan 2017 Printer-friendly Version 
AC1: 'Response to Referee #1', Walter Perkins, 01 Mar 2017 Printer-friendly Version 
 
RC2: 'Review of “Reconstructing past climate by using proxy data and a linear climate model”, by Perkins and Hakim', Anonymous Referee #2, 30 Jan 2017 Printer-friendly Version 
AC2: 'Response to Referee #2', Walter Perkins, 02 Mar 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by Editor) (02 Mar 2017) by Joel Guiot  
AR by Walter Perkins on behalf of the Authors (19 Mar 2017)  Author's response  Manuscript
ED: Publish as is (23 Mar 2017) by Joel Guiot
Publications Copernicus
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Short summary
We examine the skill of a novel data assimilation approach to paleoclimate reconstruction that uses linear climate model forecasts. Many reconstruction studies forego the use of forecasts from climate models due to their high computational expense and relatively low skill. We show that the use of simpler linear models can improve reconstruction skill for both global mean temperature and spatial fields. Improvements displayed seem to be related to dynamical constraints from the forecasts.
We examine the skill of a novel data assimilation approach to paleoclimate reconstruction that...
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