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Moreido, Vsevolod (author), Gartsman, Boris (author), Solomatine, D.P. (author), Suchilina, Zoya (author)
With more machine learning methods being involved in social and environmental research activities, we are addressing the role of available information for model training in model performance. We tested the abilities of several machine learning models for short-term hydrological forecasting by inferring linkages with all available predictors...
journal article 2021
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Verkade, J.S. (author), Brown, J. D. (author), Davids, F. (author), Reggiani, P. (author), Weerts, A. H. (author)
Two statistical post-processing approaches for estimation of predictive hydrological uncertainty are compared: (i) ‘dressing’ of a deterministic forecast by adding a single, combined estimate of both hydrological and meteorological uncertainty and (ii) ‘dressing’ of an ensemble streamflow forecast by adding an estimate of hydrological...
journal article 2017