Articles | Volume 24, issue 2
Nonlin. Processes Geophys., 24, 125–139, 2017
https://doi.org/10.5194/npg-24-125-2017

Special issue: Current perspectives in modelling, monitoring, and predicting...

Nonlin. Processes Geophys., 24, 125–139, 2017
https://doi.org/10.5194/npg-24-125-2017

Research article 06 Mar 2017

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 discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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
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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.