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Benchmarking Hydrological Models for an Uncertain Future
  • Keith Beven
Keith Beven
Lancaster University Lancaster Environment Centre

Corresponding Author:[email protected]

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Abstract

This commentary discusses a framework for the benchmarking of hydrological models for different purposes when the datasets for different catchments might involve epistemic uncertainties. The approach might be expected to result in an ensemble of models that might be used in prediction (including models of different types) but also provides for model rejection to be the start of a learning process to improve understanding.
09 Apr 2023Submitted to Hydrological Processes
09 Apr 2023Submission Checks Completed
09 Apr 2023Assigned to Editor
09 Apr 2023Reviewer(s) Assigned
10 Apr 2023Review(s) Completed, Editorial Evaluation Pending
12 Apr 2023Editorial Decision: Accept