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Hydrological models are important for a wide range of applications, including water resources planning, development and management, flood prediction and design, and coupled systems modelling including, for example, water quality, hydro-ecology and climate. This session will aim to improve our fundamental understanding of existing hydrological systems. In particular, it will focus on the use of hydrological models to simulate catchment responses and address methods for estimating predicted uncertainty (e.g. structural, parameter, and data errors). Presentations are also invited on model identification methods and diagnostic model evaluation approaches, which aim to identify where the model fails and which model aspects need improvement. In addition, the session will focus on applications where hydrological information is extrapolated from the available measurements to ungauged locations and case-studies which aim to assess the impact of change (e.g. climate and land cover change) on catchment response.

• Hydrological models
• Model identification and evaluation
• Prediction in Ungauged Basins
• Role of uncertainty in model assessment
• Diagnostic model evaluation
• Hydrological response under environmental change
• Hydrological hypothesis testing

Christian Onof, Imperial College London (
Thorsten Wagener, University of Bristol (
Demetris Lekkas, University of the Aegean (
Ilias Pechlivanidis, Swedish Meteorological and Hydrological Institute (

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