Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 8
Articles | Volume 17, issue 8
https://doi.org/10.5194/gmd-17-3321-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3321-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 8
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: 1,107 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
790 252 65 1,107 105 55 41
  • HTML: 790
  • PDF: 252
  • XML: 65
  • Total: 1,107
  • Supplement: 105
  • BibTeX: 55
  • EndNote: 41
Views and downloads (calculated since 22 Aug 2023)
Cumulative views and downloads (calculated since 22 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,107 (including HTML, PDF, and XML) Thereof 1,056 with geography defined and 51 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Nov 2024
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.
Read more