Sie haben gesucht nach VerfasserIn: 'Viney, N. R.', in der Datenbank: Bibliothekskatalog.
Anzahl der Treffer: 8
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Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment
Exbrayat, J.-F.; Viney, N. R.; Seibert, J.; Wrede, S.; Frede, H.-G.; Breuer, L.
In: Hydrology and Earth System Sciences ; 14, no. 12
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2010
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| 2 |
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Multi-model data fusion as a tool for PUB: example in a Swedish mesoscale catchment
Exbrayat, J.-F.; Viney, N. R.; Seibert, J.; Frede, H.-G.; Breuer, L.
In: Towards practical applications in ensemble hydro-meteorological forecasting
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2011
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| 3 |
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Using multi-model averaging to improve the reliability of catchment scale nitrogen predictions
Exbrayat, J.-F.; Viney, N. R.; Frede, H.-G.; Breuer, L.
In: Geoscientific Model Development ; 6, no. 1
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2013
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| 4 |
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Two-step calibration and proxy-basin validation of ensemble rainfall-runoff predictions in a Swedish mesoscale catchment
Exbrayat, Jean-François; Viney, Neil R.; Seibert, Jan; Frede, Hans-Georg; Breuer, Lutz
In: GRA - Volume 12
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2010
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| 5 |
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Skill and cost-loss analysis of a probabilistic nutrient ensemble prediction
Exbrayat, Jean-François; Viney, Neil R.; Frede, Hans-Georg; Breuer, Lutz
In: GRA - Volume 13
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2011
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| 6 |
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Assessing the impact of land management changes on nutrient loads with the Reliability Ensemble Averaging (REA) method
Exbrayat, Jean-François; Viney, Neil R.; Frede, Hans-Georg; Breuer, Lutz
In: GRA - Volume 13
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2011
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| 7 |
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Development of a novel Nutrient Prediction System (NPS) for a perennial river in a semi-arid region
Manful, D. Y.; He, Y.; Exbrayat, J.-F.; Pappenberger, F.; Cloke, H.; Breuer, L.; Viney, N. R.; Frede, H.-G.
In: GRA - Volume 14
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2012
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| 8 |
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Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging
Multsch, S.; Exbrayat, J.-F.; Kirby, M.; Viney, N. R.; Frede, H.-G.; Breuer, L.
In: Geoscientific Model Development ; 8, no. 4
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2015
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Sie haben gesucht nach VerfasserIn: 'Viney, N. R.', in der Datenbank: Bibliothekskatalog.
Anzahl der Treffer: 8
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