EGU2020-4184, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Process-based model evaluation of cold region hydrological processes

Wouter Knoben1, Abbas Fayad1, Vincent Vionnet2, and Martyn Clark1
Wouter Knoben et al.
  • 1University of Saskatchewan, Coldwater Laboratory, Canmore, AB, Canada
  • 2Environmental Numerical Research Prediction, Environment and Climate Change Canada, Dorval, QC, Canada

Model simulations of hydrological processes are critical for applications in streamflow forecasting and water security assessments. In this work, we develop a model-agnostic benchmarking framework to evaluate the fidelity of continental-domain model simulations. The benchmarking framework includes (1) synthetic test cases to evaluate the implementation of the model equations; (2) process-based diagnostics in research basins to evaluate model representations of individual processes; and (3) continental-domain benchmarks to evaluate the fidelity of large-domain model simulations. As a test case, we use simulations from the Structure for Unifying Multiple Modeling Alternatives (SUMMA) configured across the North America domain. We rely on existing theory about cold-region hydrologic processes and large-domain observations of these processes to define process-specific evaluation metrics. These process diagnostics provide insights in our current ability to model cold region hydrological processes across the North America domain.

How to cite: Knoben, W., Fayad, A., Vionnet, V., and Clark, M.: Process-based model evaluation of cold region hydrological processes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4184,, 2020