With in-depth material of every detail of the topic, this major new Springer handbook0offers unrivalled coverage of todays cutting-edge techniques in flood and weather0prediction. The ensemble technique, which generates multiple forecasts from differing0initial parameters, is a high-profile research target with the potential to enhance the0accuracy of forecasting and reduce the loss of life and damage to property caused by0riverine floods, violent weather systems, and longer-term weather problems such as0droughts. This guide adopts a multidisciplinary perspective to the subject that includes0the input of users and decision makers as well as meteorologists and hydrologists0themselves. It explains everything from basic mathematical and statistical principles to0valuable post-processing protocols for model outputs.0With in-depth material of every detail of the topic, this major new Springer handbook0offers unrivalled coverage of todays cutting-edge techniques in flood and weather0prediction. The ensemble technique, which generates multiple forecasts from differing0initial parameters, is a high-profile research target with the potential to enhance the0accuracy of forecasting and reduce the loss of life and damage to property caused by0riverine floods, violent weather systems, and longer-term weather problems such as0droughts. This guide adopts a multidisciplinary perspective to the subject that includes0the input of users and decision makers as well as meteorologists and hydrologists0themselves. It explains everything from basic mathematical and statistical principles to0valuable post-processing protocols for model outputs.
CITATION STYLE
Hemri, S. (2015). Multi-model Combination and Seamless Prediction. In Handbook of Hydrometeorological Ensemble Forecasting (pp. 1–24). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40457-3_19-1
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