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

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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.