Multi-variate factorisation of numerical simulations

Lunt, Daniel J.; Chandan, Deepak; Haywood, Alan M.; Lunt, George M.; Rougier, Jonathan C.; Salzmann, Ulrich; Schmidt, Gavin A.; Valdes, Paul J.

doi:https://doi.org/10.5194/gmd-14-4307-2021

Articles | Volume 14, issue 7

https://doi.org/10.5194/gmd-14-4307-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-4307-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 7

Methods for assessment of models

|

08 Jul 2021

Methods for assessment of models |

| 08 Jul 2021

Multi-variate factorisation of numerical simulations

Daniel J. Lunt, Deepak Chandan, Alan M. Haywood, George M. Lunt, Jonathan C. Rougier, Ulrich Salzmann, Gavin A. Schmidt, and Paul J. Valdes

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Final revised paper (published on 08 Jul 2021)
Supplement to the final revised paper
Preprint (discussion started on 05 Jun 2020)
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: 'Nice manuscript', Chris Brierley, 26 Jun 2020
- SC1: 'Remedy for multi-factor effects', Paul Pukite, 27 Jun 2020
RC2: 'Review for Lunt et al., 2020-Multi-variate factorisation of numerical simulations', Anonymous Referee #2, 04 Oct 2020
AC1: 'Author's response to review's comments, including proposed changes', Dan Lunt, 07 Jan 2021

Peer-review completion

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

AR by Dan Lunt on behalf of the Authors (08 Mar 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (07 Jun 2021) by James Annan

AR by Dan Lunt on behalf of the Authors (09 Jun 2021) Author's response Manuscript

Short summary

Often in science we carry out experiments with computers in which several factors are explored, for example, in the field of climate science, how the factors of greenhouse gases, ice, and vegetation affect temperature. We can explore the relative importance of these factors by swapping in and out different values of these factors, and can also carry out experiments with many different combinations of these factors. This paper discusses how best to analyse the results from such experiments.