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

Zhao, Yuxin; Deng, Xiong; Zhang, Shaoqing; Liu, Zhengyu; Liu, Chang; Vecchi, Gabriel; Han, Guijun; Wu, Xinrong

doi:https://doi.org/10.5194/npg-24-681-2017

Articles | Volume 24, issue 4

https://doi.org/10.5194/npg-24-681-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-24-681-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 24, issue 4

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, Xiong Deng, Shaoqing Zhang, Zhengyu Liu, Chang Liu, Gabriel Vecchi, Guijun Han, and Xinrong Wu

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Final revised paper (published on 17 Nov 2017)
Preprint (discussion started on 13 Jan 2017)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review for “Impact of Optimal Observational Time Window on Coupled Data Assimilation: Simulation with a Simple Climate Model” by Zhao et al.', Anonymous Referee #1, 17 Feb 2017
- AC1: 'Responds to the Anonymous Referee #1', Xiong Deng, 21 Apr 2017
RC2: 'Review of ‘Impact of optimal observation time window on coupled data assimilation: Simulation with a simple climate model’ by Yuxin Zhao et al.', Oscar Martinez-Alvarado, 22 Feb 2017
- AC2: 'responds to Martinez Alvarado', Xiong Deng, 21 Apr 2017

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 Martínez-Alvarado (07 Sep 2017)

Suggestions for revision or reasons for rejection

Second review of ‘Impact of optimal observation time window on coupled data assimilation: Simulation with a simple climate model’ by Yuxin Zhao, Xiong Deng, Shaoqing Zhang, Zhengyu Liu, Chang Liu, Guijun Han and Xinrong Wu

I have read the revised version of this paper and considered that the authors have properly addressed all the science questions and comments I had concerning the discussion article version. I have fully read the new version and I found that there are several typos and minor errors that should be corrected before the article is published in Nonlinear Processes in Geophysics. I include a list of comments. However, this might not be exhaustive. I believe the most appropriate course of action would be to run this through an expert in the English language:

In general: There are several instances where a present participle is used instead of a past participle and vice versa (e.g. including instead of included, resulted instead of resulting).
P19 L9: Change ‘improve’ for ‘improving’.
P19 L13: Change ‘theoretical and technical challenges’ for ‘theoretically and technically challenging’.
P21 L4: you can include ‘\omega’ after ‘slab oceanic variable’ for clarity.
P21 L15: Delete ‘And’ at the beginning of the sentence.
P21 L16: Use the plural of parameter.
P21 L24: Change ‘... \Gamma keeps as a constant…’ for ‘... \Gamma is kept constant…’
P24 L14: Delete ‘for’ after ‘repeated’.
P24 L21: Delete period after ‘Figure’ in ‘Figure. 1’.
P25 L9: Delete ‘And’ at the beginning of the sentence.
P25 L10: Do not capitalise ‘NOT’.
P26 L29: Change ‘expended’ for ‘expanded’
P27 L11: The sentence beginning with ‘While increasing…’ does not make sense. Please, rewrite it.
P27 L21: Delete brackets around ‘steps’.
P27 L26: Change ‘arrange’ for ‘range’.
P29 L12: Change ‘is’ for ‘are’.
P29 L8-33: There are several places where ‘same’ should be change to ‘the same’.
P29 L18 and 32: I’m not sure that the word ‘firm’ is being used correctly.
P29 L28: Delete ‘And’ at the beginning of the sentence.
P30 L2: Insert ‘the’ between ‘Changing’ and ‘coupling’.

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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

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.