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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 14, issue 12
Hydrol. Earth Syst. Sci., 14, 2545–2558, 2010
https://doi.org/10.5194/hess-14-2545-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Advances in statistical hydrology

Hydrol. Earth Syst. Sci., 14, 2545–2558, 2010
https://doi.org/10.5194/hess-14-2545-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Dec 2010

Research article | 13 Dec 2010

Why hydrological predictions should be evaluated using information theory

S. V. Weijs et al.
Related subject area  
Subject: Engineering Hydrology | Techniques and Approaches: Uncertainty analysis
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Cited articles  
Ahrens, B. and Walser, A.: Information-based skill scores for probabilistic forecasts, Mon. Weather Rev., 136, 352–363, 2008.
Akaike, H.: A new look at the statistical model identification, IEEE transactions on automatic control, 19, 716–723, 1974.
Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, https://doi.org/10.5194/hess-13-141-2009, 2009.
Benedetti, R.: Scoring Rules for Forecast Verification, Mon. Weather Rev., 138, 203–211, 2010.
Berger, J. and Wolpert, R.: The likelihood principle, Institute of Mathematical Statistics, Hayward, CA, 2nd edn., 1988.
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