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  List of Accepted Contributions - HS4/9 Hydrological modelling strategies across scales: Model parameterisation, comparison and ensembles

Please, click Abstract Number to find the corresponding abstract as PDF file; if necessary, download Adobe Acrobat Reader 4.0 first to open the file. Any abstract may be freely reproduced for non-commercial, scientific purposes; however, the moral right of the author(s) to be identified as the author(s) of such abstracts is asserted.

Tetzlaff, B.; Guse, B.; Rode, M.; Wendland, F.
Application and comparison of two different phosphate models (SWAT and MEPhos) – the Weiße Elster case study (Germany) (withdrawn)

Efstratiadis, A.; Koukouvinos, A.; Rozos, E.; Nalbantis, I.; Koutsoyiannis, D.
Control of uncertainty in complex hydrological models via appropriate schematization, parameterization and calibration

Bormann, H.; Breuer, L.; Bronstert, A.; Gräff, T.; Huisman, J.A.; Frede, H.-G.
Impact of spatial data resolution on scenario calculations using different spatially distributed models

Montanari, A.; Toth, E.
Calibration of spatially-distributed hydrological models: possible strategies and analysis of the effects of data availability.

Castelli, F; Campo, L; Baccani, B; Caparrini, F; Menduni, G
Distributed hydrological modelling as a planning tool for sustainable water resources management: experiences in the Arno River Basin, Italy (withdrawn)

Marshall, L.; Sharma, A.; Nott, D.
Assessing hydrological model structures and parameterizations via catchment mixture modeling

Barbero, S.; Boni, G.; Crosta, A.; Ferraris, L.; Gabellani, S.; Rabuffetti, D.; Rebora, N.
Modelling floods at different catchment scales: an inter-comparison between a mixture of hydrologic and hydraulic models

Das, T.; Bárdossy, A.; Zehe, E.; He, Y.
Comparisons of modelling performance using different representation of spatial variability

Das, T.; Bárdossy, A.
Influence of rainfall observation network on model calibration and application

Hurkmans, R.; Troch, P.
Water balance model versus land surface scheme to model Rhine river discharges

Breuer, L.; Huisman, J.A.; The LUCHEM Team
Multi-model ensemble predictions of changes in hydrological fluxes caused by a change in land use

Dehotin, J; Braud, I
Which spatial discretization for distributed hydrological models?

Villarini, G.; Krajewski, W.F.; Ciach, G.J.
Empirically-based ensemble generator of radar-rainfall data

Francés, F.; Vélez, J.
Automatic calibration using the SCE-UA algorithm for a hydrological distributed model. Application to a Regional Water Resources Estimation study

Solomatine, D.P.; Fenicia, F.; Savenije, H.H.G
Soft Combination of Local Hydrologic Models in Multi-Objective Setting

Butts, M.B.; Overgaard, J.; Dubicki, A.; Stroñska, K.; Lewandowski, A. ; Olszewski, T. ; T. Kolerski, T.
Intercomparison of distributed hydrological models for flood forecasting in the Odra River basin

Horvat, O.; Papankova, Z.; Hlavcova, K.; Szolgay, J.; Kohnova, S.
Assessment of Land Use Change Impact on Runoff with a Hydrological Model with Distributed Parameters

Diomede, T.; Amengual, A.; Marsigli, C.; Martìn, A.; Romero, R.; Papetti, P.; Paccagnella, T.
A meteo-hydrological model intercomparison as tool to quantify forecast uncertainty at medium-sized basin scale

Freer, J.E.; Beven, K.J.; Smith, P.J.; Dean, S.; Krueger, T.; Pappenberger, F.
Exploring, quantifying and incorporating observational uncertainties into the evaluation of environmental model predictions

Romanowicz, R.J.; Pappenberger, F.; Beven, K.J.
Flood risk estimation using stochastic equivalents to distributed flood warning system (withdrawn)

Chahinian, N.; Moussa, R.; Bocquillon, C.
Multi-site validation of a distributed hydrological model on a Mediterranean mountainous catchment

Gallart, F; Latron, J; Llorens, P
Using internal catchment information for improving TOPMODEL parameter description in a small Mediterranean mountain catchment.

Intsiful, J. D.; Kunstmann, H.; Allotey, F.K.
Analysis of the performance of parameterisation strategies for modeling hydrological processes: An intercomparison of techniques for upscaling SVAT parameters

Zehe, E.; Lee, H.; Sivapalan, M.
Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models

Debene, A; Nachtnebel, HP
Predicting flood peaks in an austrian mesoscale catchment with different types of hydrological models

Hopson, T. M.; Webster, P. J.
A multi-model ensemble forecasting approach: application to Bangladesh for operational flood forecasting (withdrawn)

Smith, M.; Koren, V.; Reed, S.; Zhang, Z.; Moreda, F.; Cui, Z.; Lei, F.; Cong, S.; Seo, D.-J.; Schaake, J.
The distributed hydrologic model intercomparison project (DMIP): Phase 1 results and phase 2 plans

Sivapalan, M.; Lee, H.; Zehe, E.
Development of closure relations and process paramaterizations with respect to the REW approach: recent progress and future prospects

Madsen, H.; Khu, S.T.; Butts, M.
Comparison of different parameterisations and conceptualisations of the MIKE SHE model using multi-objective calibration

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