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dc.contributor.authorRoulin, E.
dc.coverage.temporal21st century
dc.date2007
dc.date.accessioned2016-03-07T16:16:54Z
dc.date.accessioned2021-12-09T09:53:44Z
dc.date.available2016-03-07T16:16:54Z
dc.date.available2021-12-09T09:53:44Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8733
dc.descriptionA hydrological ensemble prediction system, integrating a water balance model with ensemble precipitation forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System(EPS), is evaluated for two Belgian catchments using verification methods borrowed from meteorology. The skill of the probability forecast that the streamflow exceeds a given level is measured with the Brier Skill Score. Then the value of the system is assessed using a cost-loss decision model. The verification results of the hydrological ensemble predictions are compared with the corresponding results obtained for simpler alternatives as the one obtained by using of the deterministic forecast of ECMWF which is characterized by a higher spatial resolution or by using of the EPS ensemble mean.
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseriesHydrology and Earth System Sciences
dc.titleSkill and relative economic value of medium-range hydrological ensemble predictions
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freeHydrological ensemble prediction system
dc.subject.freeforecasts
dc.subject.freeEuropean Centre for Medium-Range Weather Forecasts (ECMWF)
dc.source.issueHydrology and Earth System Sciences
dc.source.page725-737
Orfeo.peerreviewedNot pertinent


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