Technical note: Diagnostic efficiency –  specific evaluation of model performance

Schwemmle, Robin; Demand, Dominic; Weiler, Markus

doi:https://doi.org/10.5194/hess-25-2187-2021

Articles | Volume 25, issue 4

https://doi.org/10.5194/hess-25-2187-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-2187-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 4

Technical note

|

22 Apr 2021

Technical note |

| 22 Apr 2021

Technical note: Diagnostic efficiency – specific evaluation of model performance

Robin Schwemmle, Dominic Demand, and Markus Weiler

Supplement

https://doi.org/10.5194/hess-25-2187-2021-supplement

Data sets

A large-sample watershed-scale hydrometeorological dataset for the contiguous USA A. Newman, K. Sampson, M. P. Clark, A. Bock, R. J. Viger, and D. Blodgett https://doi.org/10.5065/D6MW2F4D

Model code and software

diag-eff 1.1: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle, D. Demand, M. Weiler https://doi.org/10.5281/zenodo.4590174

schwemro/diag-eff R. Schwemmle https://github.com/schwemro/diag-eff

Short summary

A better understanding of the reasons why model performance is unsatisfying represents a crucial part for meaningful model evaluation. We propose the novel diagnostic efficiency (DE) measure and diagnostic polar plots. The proposed evaluation approach provides a diagnostic tool for model developers and model users and facilitates interpretation of model performance.