Knut Bernhardt

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Complex models of environmental systems typically depend on a large amount of uncertain parameters. Therefore, they are often difficult to handle and do not provide an insight into effective modes of the underlying system's dynamics. Unlike earlier analytical attempts to find more effective model representations, we present a new combination of methods that(More)
This paper addresses the problem of model complexity commonly arising in constructing and using process-based models with intricate interactions. Apart from complex process details the dynamic behavior of such systems is often limited to a discrete number of typical states. Thus, models reproducing the system's processes in all details are often too complex(More)
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