Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Volume 17, issue 4
Atmos. Chem. Phys., 17, 2525–2541, 2017
https://doi.org/10.5194/acp-17-2525-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 2525–2541, 2017
https://doi.org/10.5194/acp-17-2525-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Publications Copernicus
Download
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.
We introduce system identification techniques to climate science wherein multiple dynamic...
Citation
Altmetrics
Final-revised paper
Preprint