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Based on various examples ranging from geosciences to environmental sciences this book explains how to generate an adequate description of uncertainty, how to justify semi-heuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in what sense the existing approach to uncertainty as a combination of random and systematic components is only an approximation and presents a more adequate three-component model with an additional periodic error component and how the existing uncertainty propagation techniques can be extended to...

On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient.