Articles | Volume 14, issue 12
https://doi.org/10.5194/hess-14-2545-2010
https://doi.org/10.5194/hess-14-2545-2010
Research article
 | 
13 Dec 2010
Research article |  | 13 Dec 2010

Why hydrological predictions should be evaluated using information theory

S. V. Weijs, G. Schoups, and N. van de Giesen

Related subject area

Subject: Engineering Hydrology | Techniques and Approaches: Uncertainty analysis
Bayesian calibration of a flood simulator using binary flood extent observations
Mariano Balbi and David Charles Bonaventure Lallemant
Hydrol. Earth Syst. Sci., 27, 1089–1108, https://doi.org/10.5194/hess-27-1089-2023,https://doi.org/10.5194/hess-27-1089-2023, 2023
Short summary
Intercomparison of global reanalysis precipitation for flood risk modelling
Fergus McClean, Richard Dawson, and Chris Kilsby
Hydrol. Earth Syst. Sci., 27, 331–347, https://doi.org/10.5194/hess-27-331-2023,https://doi.org/10.5194/hess-27-331-2023, 2023
Short summary
Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too
David McInerney, Mark Thyer, Dmitri Kavetski, Richard Laugesen, Fitsum Woldemeskel, Narendra Tuteja, and George Kuczera
Hydrol. Earth Syst. Sci., 26, 5669–5683, https://doi.org/10.5194/hess-26-5669-2022,https://doi.org/10.5194/hess-26-5669-2022, 2022
Short summary
An uncertainty partition approach for inferring interactive hydrologic risks
Yurui Fan, Kai Huang, Guohe Huang, Yongping Li, and Feng Wang
Hydrol. Earth Syst. Sci., 24, 4601–4624, https://doi.org/10.5194/hess-24-4601-2020,https://doi.org/10.5194/hess-24-4601-2020, 2020
Predicting discharge capacity of vegetated compound channels: uncertainty and identifiability of one-dimensional process-based models
Adam Kiczko, Kaisa Västilä, Adam Kozioł, Janusz Kubrak, Elżbieta Kubrak, and Marcin Krukowski
Hydrol. Earth Syst. Sci., 24, 4135–4167, https://doi.org/10.5194/hess-24-4135-2020,https://doi.org/10.5194/hess-24-4135-2020, 2020
Short summary

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.