Abstract
Abstract. Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent developments and achievements in this research area. In this paper we present the findings from the 2007 workshop which focused on advances and visions in large-scale hydrological modelling. We identify the state of the art, difficulties and research perspectives with respect to the themes "sensitivity of model results", "integrated modelling" and "coupling of processes in hydrosphere, atmosphere and biosphere". Some achievements in large-scale hydrological modelling during the last ten years are presented together with a selection of remaining challenges for the future.
Highlights
The aim of the 2007 workshop1 was to evaluate the current state of large-scale hydrological modelling, focusing on the same four themes as in 1998: 1. Sensitivity of model results to uncertainty in input data, 2
While in 1998, very few modelling groups worldwide worked on global hydrological issues and the global hydrology and water use model WaterGAP was just being developed, 10 years later global hydrology is well established by an advanced version of WaterGAP (Doll and Fiedler, 2008) and by, for example, LPJmL, a dynamic vegetation model which includes state-of-the-art hydrological modules (Gerten et al, 2004; Rost et al, 2008a)
For two basins that were modelled in a lumped manner, Zhang et al (2008) explored the impact of model structure by comparing model results that were obtained by different combinations of modules to time series of observed river discharge
Summary
Since 1997, a series of annual workshops on large-scale hydrological modelling has provided a forum to the Germanspeaking community for discussing recent developments and achievements in this research area (Bronstert et al, 1998; Fohrer and Doll, 1999; Gerold, 2000; Sutmoller and Raschke, 2001; Stephan et al, 2002; Hennrich et al, 2003; Ludwig et al, 2004; Krause et al, 2005; Barthel et al, 2006; Lindenschmidt et al, 2007). Each theme was discussed based on the following three questions: 1. What is the state of the art in large-scale hydrological modelling? Each theme was discussed based on the following three questions: 1. What is the state of the art in large-scale hydrological modelling?
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