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Current hydrological problems like assessing the impact of global change on the water balance, flood forecasting or integrated water resources management demand detailed and often process-oriented models. Such models require much more data than simple conceptual approaches. The discrepancy between available and desired temporal and spatial resolution is often a serious problem. As the complexity of the hydrological cycle prevents its exact reproduction, integrated models are a popular solution. They have the advantage to allow for a more detailed and physically-based simulation by modelling specific processes. But sectoral sub-models must be compatible and strategies for the calibration and validation of the sub-models and the integrated modelling complex are necessary. In both aspects, problems are far from being solved. Hydrological questions range from long-term balances requiring only a low resolution to detailed simulations of flood events. Besides the spatio-temporal variability, data and parameters also exhibit a strong scale dependency. It is therefore questionable, if parameters measured on a specific scale can be transferred to another scale at all. One main research focus of the past years has been the assessment of parameter and forecast uncertainty. But because of the many algorithms and methods available, a generally accepted procedure to judge the success of the simulations is still missing. Therefore this year’s workshop has focused on the problems of model integration on different spatial and temporal scales

Preface &quot;Integration of hydrological models on different spatial and temporal scales&quot;

Preface "Integration of hydrological models on different spatial and temporal scales"