Technical note:  Simultaneous fully dynamic characterization of multiple input–output relationships in climate models

Kravitz, Ben; MacMartin, Douglas G.; Rasch, Philip J.; Wang, Hailong

doi:https://doi.org/10.5194/acp-17-2525-2017

Articles | Volume 17, issue 4

https://doi.org/10.5194/acp-17-2525-2017

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

https://doi.org/10.5194/acp-17-2525-2017

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

Articles | Volume 17, issue 4

Technical note

|

17 Feb 2017

Technical note |

| 17 Feb 2017

Technical note: Simultaneous fully dynamic characterization of multiple input–output relationships in climate models

Ben Kravitz, Douglas G. MacMartin, Philip J. Rasch, and Hailong Wang

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Final revised paper (published on 17 Feb 2017)
Preprint (discussion started on 27 Jul 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Kravitz et al. (2016)', Daniel Kirk-Davidoff, 18 Sep 2016
- AC1: 'Reply to Reviewer #1', Ben Kravitz, 20 Dec 2016
RC2: 'Comments', Anonymous Referee #2, 13 Oct 2016
- AC2: 'Response to Reviewer #2', Ben Kravitz, 20 Dec 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Ben Kravitz on behalf of the Authors (20 Dec 2016) Author's response Manuscript

ED: Referee Nomination & Report Request started (03 Jan 2017) by Peter Haynes

RR by Daniel Kirk-Davidoff (11 Jan 2017)

RR by Pedram Hassanzadeh (18 Jan 2017)

ED: Publish subject to technical corrections (02 Feb 2017) by Peter Haynes

AR by Ben Kravitz on behalf of the Authors (02 Feb 2017) Author's response Manuscript

Short summary

We introduce system identification techniques to climate science wherein multiple dynamic input–output relationships can be simultaneously characterized in a single simulation. This method, involving multiple small perturbations (in space and time) of an input field while monitoring output fields to quantify responses, allows for identification of different timescales of climate response to forcing without substantially pushing the climate far away from a steady state.