Articles | Volume 13, issue 1
https://doi.org/10.5194/gmd-13-139-2020
https://doi.org/10.5194/gmd-13-139-2020
Methods for assessment of models
 | 
16 Jan 2020
Methods for assessment of models |  | 16 Jan 2020

Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation

Maria-Vittoria Guarino, Louise C. Sime, David Schroeder, Grenville M. S. Lister, and Rosalyn Hatcher

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Maria Vittoria Guarino on behalf of the Authors (08 Aug 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Aug 2019) by Sophie Valcke
RR by Anonymous Referee #1 (15 Oct 2019)
RR by Anonymous Referee #2 (28 Oct 2019)
ED: Reconsider after major revisions (06 Nov 2019) by Sophie Valcke
AR by Maria Vittoria Guarino on behalf of the Authors (29 Nov 2019)  Author's response   Manuscript 
ED: Publish as is (04 Dec 2019) by Sophie Valcke
AR by Maria Vittoria Guarino on behalf of the Authors (05 Dec 2019)  Manuscript 
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Short summary
When the same weather or climate simulation is run on different high-performance computing (HPC) platforms, model outputs may not be identical for a given initial condition. Here, we investigate the behaviour of the Preindustrial simulation prepared by the UK Met Office for the forthcoming CMIP6 under different computing environments. Discrepancies between the means of key climate variables were analysed at different timescales, from decadal to centennial.