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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 741–762, 2019
https://doi.org/10.5194/hess-23-741-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 741–762, 2019
https://doi.org/10.5194/hess-23-741-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Feb 2019

Research article | 08 Feb 2019

Parameter-state ensemble thinning for short-term hydrological prediction

Bruce Davison et al.
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Cited articles  
Abaza, M., Anctil, F., Fortin, V., and Turcotte, R.: A comparison of the Canadian global and regional meteorological ensemble prediction systems for short-term hydrological forecasting, Mon. Weather Rev., 141, 3462–3476, 2013.
Agriculture and Agri-Food Canada: National Ecological Framework, digital media, available at: http://sis.agr.gc.ca/cansis/nsdb/ecostrat/index.html (last access: 6 January 2019), 2015.
Asch, M., Bocquet, M., and Nodet, M.: Data assimilation: methods, algorithms, and applications, in: vol. 11, SIAM, Philadelphia, 2016.
Bard, Y.: Nonlinear parameter estimation, in: vol. 513, Academic Press, New York, 1974.
Beck, M. B.: Water quality modeling: a review of the analysis of uncertainty, Water Resour. Res., 23, 1393–1442, 1987.
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This paper explores a new method of predicting streamflow using a complex model. It makes use of streamflow observations to reduce an existing ensemble of model runs for predictive purposes. The study illustrated that the method could work given the proper constraints, which were only possible if there was enough knowledge about how the river responded to precipitation in the previous months. Ideas were discussed to allow the method to be used in a way to predict future streamflow.
This paper explores a new method of predicting streamflow using a complex model. It makes use of...
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