Uncertainty in the predictions of science when applied to the environment is an issue of great current relevance. Major topics of concern include the impacts of climate change, protection against natural and human-made disasters, and sustainable resource management. This book introduces future scientists and decision makers to the concepts and techniques of uncertainty estimation in environmental prediction. It explains the constraint of uncertainties by the collection of observations and discusses data assimilation in real-time forecasting. It also presents techniques for decision making under uncertainty.
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