Articles | Volume 15, issue 8
https://doi.org/10.5194/gmd-15-3183-2022
https://doi.org/10.5194/gmd-15-3183-2022
Methods for assessment of models
 | 
19 Apr 2022
Methods for assessment of models |  | 19 Apr 2022

An ensemble-based statistical methodology to detect differences in weather and climate model executables

Christian Zeman and Christoph Schär

Viewed

Total article views: 3,053 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,343 628 82 3,053 61 54
  • HTML: 2,343
  • PDF: 628
  • XML: 82
  • Total: 3,053
  • BibTeX: 61
  • EndNote: 54
Views and downloads (calculated since 06 Sep 2021)
Cumulative views and downloads (calculated since 06 Sep 2021)

Viewed (geographical distribution)

Total article views: 3,053 (including HTML, PDF, and XML) Thereof 2,872 with geography defined and 181 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Nov 2024
Download
Short summary
Our atmosphere is a chaotic system, where even a tiny change can have a big impact. This makes it difficult to assess if small changes, such as the move to a new hardware architecture, will significantly affect a weather and climate model. We present a methodology that allows to objectively verify this. The methodology is applied to several test cases, showing a high sensitivity. Results also show that a major system update of the underlying supercomputer did not significantly affect our model.