Articles | Volume 17, issue 8
https://doi.org/10.5194/gmd-17-3321-2024
https://doi.org/10.5194/gmd-17-3321-2024
Methods for assessment of models
 | 
29 Apr 2024
Methods for assessment of models |  | 29 Apr 2024

Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations

Alok K. Samantaray, Priscilla A. Mooney, and Carla A. Vivacqua

Viewed

Total article views: 3,494 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,141 1,208 145 3,494 334 146 188
  • HTML: 2,141
  • PDF: 1,208
  • XML: 145
  • Total: 3,494
  • Supplement: 334
  • BibTeX: 146
  • EndNote: 188
Views and downloads (calculated since 22 Aug 2023)
Cumulative views and downloads (calculated since 22 Aug 2023)

Viewed (geographical distribution)

Total article views: 3,494 (including HTML, PDF, and XML) Thereof 3,375 with geography defined and 119 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 20 Sep 2026
Download
Short summary
Any interpretation of climate model data requires a comprehensive evaluation of the model performance. Numerous error metrics exist for this purpose, and each focuses on a specific aspect of the relationship between reference and model data. Thus, a comprehensive evaluation demands the use of multiple error metrics. However, this can lead to confusion. We propose a clustering technique to reduce the number of error metrics needed and a composite error metric to simplify the interpretation.
Share