Articles | Volume 14, issue 12
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:
Research article
| 
13 Dec 2010
Research article |
| 13 Dec 2010
Why hydrological predictions should be evaluated using information theory
Related subject area
Subject: Engineering Hydrology | Techniques and Approaches: Uncertainty analysis
Bayesian calibration of a flood simulator using binary flood extent observations
Intercomparison of global reanalysis precipitation for flood risk modelling
Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too
An uncertainty partition approach for inferring interactive hydrologic risks
Predicting discharge capacity of vegetated compound channels: uncertainty and identifiability of one-dimensional process-based models
Hydrol. Earth Syst. Sci., 27, 1089–1108, 2023
Hydrol. Earth Syst. Sci., 27, 331–347, 2023
Hydrol. Earth Syst. Sci., 26, 5669–5683, 2022
Hydrol. Earth Syst. Sci., 24, 4601–4624, 2020
Hydrol. Earth Syst. Sci., 24, 4135–4167, 2020
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Benedetti, R.: Scoring Rules for Forecast Verification, Mon. Weather Rev., 138, 203–211, 2010.
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