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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 4
Nonlin. Processes Geophys., 24, 681–694, 2017
https://doi.org/10.5194/npg-24-681-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 24, 681–694, 2017
https://doi.org/10.5194/npg-24-681-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Nov 2017

Research article | 17 Nov 2017

Impact of an observational time window on coupled data assimilation: simulation with a simple climate model

Yuxin Zhao et al.

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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 Xiong Deng on behalf of the Authors (21 Apr 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (15 May 2017) by Amit Apte
RR by Anonymous Referee #1 (18 May 2017)
RR by Anonymous Referee #3 (30 May 2017)
RR by Oscar Martinez-Alvarado (07 Sep 2017)
ED: Publish subject to technical corrections (21 Sep 2017) by Amit Apte
AR by Xiong Deng on behalf of the Authors (27 Sep 2017)  Author's response    Manuscript
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Short summary
Here with a simple coupled model that simulates typical scale interactions in the climate system, we study the optimal OTWs for the coupled media so that climate signals can be most accurately recovered by CDA. Results show that an optimal OTW determined from the de-correlation timescale provides maximal observational information that best fits the characteristic variability of the coupled medium during the data blending process.
Here with a simple coupled model that simulates typical scale interactions in the climate...
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