Articles | Volume 17, issue 11
Methods for assessment of models
10 Jun 2024
Methods for assessment of models |  | 10 Jun 2024

EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions

Thibault Hallouin, François Bourgin, Charles Perrin, Maria-Helena Ramos, and Vazken Andréassian

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Cited articles

Anctil, F. and Ramos, M.-H.: Verification Metrics for Hydrological Ensemble Forecasts, Springer Berlin Heidelberg, Berlin, Heidelberg, 1–30, ISBN 978-3-642-40457-3,, 2017. a, b
Barnston, A. G.: Correspondence among the correlation, RMSE, and Heidke forecast verification measures; refinement of the Heidke score, Weather Forecast., 7, 699–709,<0699:CATCRA>2.0.CO;2, 1992. a
Bellier, J., Zin, I., and Bontron, G.: Sample Stratification in Verification of Ensemble Forecasts of Continuous Scalar Variables: Potential Benefits and Pitfalls, Mon. Weather Rev., 145, 3529–3544,, 2017. a, b
Beven, K. and Young, P.: A guide to good practice in modeling semantics for authors and referees, Water Resour. Res., 49, 5092–5098,, 2013. a, b
Bourgin, F., Andréassian, V., Perrin, C., and Oudin, L.: Transferring global uncertainty estimates from gauged to ungauged catchments, Hydrol. Earth Syst. Sci., 19, 2535–2546,, 2015. a
Short summary
The evaluation of the quality of hydrological model outputs against streamflow observations is widespread in the hydrological literature. In order to improve on the reproducibility of published studies, a new evaluation tool dedicated to hydrological applications is presented. It is open source and usable in a variety of programming languages to make it as accessible as possible to the community. Thus, authors and readers alike can use the same tool to produce and reproduce the results.