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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union

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Nonlin. Processes Geophys., 24, 125-139, 2017
http://www.nonlin-processes-geophys.net/24/125/2017/
doi:10.5194/npg-24-125-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
06 Mar 2017
Insights on the role of accurate state estimation in coupled model parameter estimation by a conceptual climate model study
Xiaolin Yu 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
 
RC1: 'Revision', Anonymous Referee #1, 08 Nov 2016 Printer-friendly Version Supplement 
AC1: 'Point-by-point responses for review #1', Shaoqing Zhang, 24 Nov 2016 Printer-friendly Version Supplement 
 
RC2: 'Review of “Further Insights on the Role of Accurate State Estimation in Coupled Model Parameter Estimation by a Simple Climate Model Study” by Yu et al.', Anonymous Referee #2, 11 Nov 2016 Printer-friendly Version Supplement 
AC2: 'Point-by-point responses for review #2', Shaoqing Zhang, 24 Nov 2016 Printer-friendly Version Supplement 
 
RC3: 'A review', Anonymous Referee #3, 13 Nov 2016 Printer-friendly Version 
AC3: 'Point-by-point responses for review #3', Shaoqing Zhang, 24 Nov 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shaoqing Zhang on behalf of the Authors (25 Nov 2016)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (30 Nov 2016) by Antonio Turiel
RR by Anonymous Referee #1 (09 Dec 2016)  
RR by Anonymous Referee #4 (06 Jan 2017)  
RR by Anonymous Referee #5 (13 Jan 2017)  
ED: Reconsider after major revisions (further review by Editor and Referees) (17 Jan 2017) by Antonio Turiel  
AR by Shaoqing Zhang on behalf of the Authors (15 Feb 2017)  Author's response  Manuscript
ED: Publish as is (15 Feb 2017) by Antonio Turiel
Publications Copernicus
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Short summary
Parameter estimation (PE) with a global coupled data assimilation (CDA) system can improve the runs, but the improvement remains in a limited range. We have to come back to simple models to sort out the sources of noises. Incomplete observations and the chaotic nature of the atmosphere have much stronger influences on the PE through the state estimation (SE) process. Here, we propose the guidelines of how to enhance the signal-to-noise ratio under partial SE status.
Parameter estimation (PE) with a global coupled data assimilation (CDA) system can improve the...
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