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Assessing Hydrologic Impact of Climate Change with Uncertainty Estimates: Bayesian Neural Network Approach
Publisher: American Meteorological Society
Abstract: A major challenge in assessing the hydrologic effect of climate change remains the estimation of uncertainties associated with different sources, such as the global climate models, emission scenarios, downscaling methods, ...
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