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

Viewed

Total article views: 2,523 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,682 784 57 2,523 53 56
  • HTML: 1,682
  • PDF: 784
  • XML: 57
  • Total: 2,523
  • BibTeX: 53
  • EndNote: 56
Views and downloads (calculated since 16 May 2019)
Cumulative views and downloads (calculated since 16 May 2019)

Viewed (geographical distribution)

Total article views: 2,523 (including HTML, PDF, and XML) Thereof 2,335 with geography defined and 188 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 May 2024
Download
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.