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https://doi.org/10.5194/hessd-3-3321-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hessd-3-3321-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
31 Oct 2006
Status: this preprint was under review for the journal HESS. A revision for further review has not been submitted.
The Hydrologic Ensemble Prediction EXperiment (HEPEX)
Abstract. Users of hydrologic predictions need reliable, quantitative forecast information, including estimates of uncertainty, for lead times ranging from less than an hour during flash flooding events to more than a year for long-term water management. To meet this need, operational agencies are developing hydrological ensemble forecast techniques to account for sources of uncertainty such as future precipitation, initial hydrological conditions, and hydrological model limitations including uncertain model parameters. Research advances in areas such as hydrologic modeling, data assimilation, ensemble prediction, and forecast verification need to be incorporated into operational forecasting systems to assure that the state-of-the-art products are reaching the forecast user community. The Hydrologic Ensemble Prediction EXperiment (HEPEX) has been formed to develop and demonstrate new hydrologic forecasting technologies, and to facilitate the implementation of beneficial technologies into the operational environment.
How to cite. Schaake, J., Franz, K., Bradley, A., and Buizza, R.: The Hydrologic Ensemble Prediction EXperiment (HEPEX), Hydrol. Earth Syst. Sci. Discuss., 3, 3321–3332, https://doi.org/10.5194/hessd-3-3321-2006, 2006.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC S1691: 'Referee Comment', Anonymous Referee #1, 18 Dec 2006
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- Streamflow Modelling: A Primer on Applications, Approaches and Challenges D. Bourdin et al. 10.1080/07055900.2012.734276
- Identification of the best multi-model combination for simulating river discharge A. Kumar et al. 10.1016/j.jhydrol.2015.03.060
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- Impact of improved meteorological forcing, profile of soil hydraulic conductivity and data assimilation on an operational Hydrological Ensemble Forecast System over France M. Coustau et al. 10.1016/j.jhydrol.2015.04.022
- Ensemble forecasting system for the management of the Senegal River discharge: application upstream the Manantali dam D. Ndione et al. 10.1007/s13201-020-01199-y
- Hydrological aspects of meteorological verification F. Pappenberger et al. 10.1002/asl.171
- Combining Stochastic Weather Generation and Ensemble Weather Forecasts for Short-Term Streamflow Prediction J. Chen & F. Brissette 10.1007/s11269-015-1001-3
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- Early flood warning in the Itajaí-Açu River basin using numerical weather forecasting and hydrological modeling L. Casagrande et al. 10.1007/s11069-017-2889-0
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- Real-time hydrograph modelling in the upper Nysa Kłodzka river basin (SW Poland): a two-model hydrologic ensemble prediction approach T. Niedzielski & B. Miziński 10.1007/s00477-016-1251-5
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Latest update: 10 Aug 2025
J. Schaake
National Oceanic and Atmospheric Administration/National Weather Service, Consultant, Silver Spring, MD, USA
K. Franz
Iowa State University, Geological and Atmospheric Sciences, Ames, IA, USA
A. Bradley
The University of Iowa, Iowa Institute of Hydraulic Research – Hydroscience and Engineering, Iowa City, IA, USA
R. Buizza
European Center for Medium-Range Weather Forecasts, Reading, UK
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