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dc.contributor.authorRoulin, E.
dc.contributor.authorVannitsem, S.
dc.coverage.temporal21st century
dc.date2005
dc.date.accessioned2016-03-07T16:16:50Z
dc.date.accessioned2021-12-09T09:53:27Z
dc.date.available2016-03-07T16:16:50Z
dc.date.available2021-12-09T09:53:27Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8658
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. The skill of streamflow forecast for high flows is analyzed using a 6-yr period of archived EPS forecasts. The probabilistic skill of this hydrological prediction system is much better than the one based on historical precipitation inputs and extends beyond 9 days for both catchments. The skill is larger in winter than in summer. The use of this approach for operational forecasts is briefly discussed.
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseriesJournal of Hydrometeorology, Vol. 6, No. 5
dc.titleSkill of Medium-Range Hydrological Ensemble Predictions
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freeprecipitation forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF)
dc.subject.freeBelgian catchments
dc.subject.freeHydrological prediction system
dc.source.issueJournal of Hydrometeorology, Vol. 6, No. 5
dc.source.page729-744
Orfeo.peerreviewedNot pertinent


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