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


Interactive discussion

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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 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.