High-profile editorial team with affiliations to leading transatlantic research institutions
Multidisciplinary approach includes material relevant to policy makers and end users
Covers every element of the topic, from basic mathematical principles to output post-processing
The first comprehensive guide to this next-generation meteorological and hydrological technique
With in-depth material of every detail of the topic, this major new Springer handbook offers unrivalled coverage of today’s cutting-edge techniques in flood and weather prediction. The ensemble technique, which generates multiple forecasts from differing initial parameters, is a high-profile research target with the potential to enhance the accuracy of forecasting and reduce the loss of life and damage to property caused by riverine floods, violent weather systems, and longer-term weather problems such as droughts. This guide adopts a multidisciplinary perspective to the subject that includes the input of users and decision makers as well as meteorologists and hydrologists themselves. It explains everything from basic mathematical and statistical principles to valuable post-processing protocols for model outputs.
The volume personifies the transatlantic collaboration which is extending the boundaries of our capabilities in this field, with editorial contributions from leading academics affiliated to the European Flood Awareness System and the US National Oceanographic and Atmospheric Administration. Essays cover the very latest theory and methods for modeling and predicting precipitation, temperature, humidity, soil moisture, river discharge, and groundwater levels. The techniques are central to forecasters’ core responsibility: warning the public about extreme weather events and conditions. Ensemble forecasting represents a next-generation technology that allows meteorologists to calibrate the probabilities attached to a range of scenarios, allowing for more finely tuned decisions and more effective disaster planning.
Content Level »Research
Keywords »Ensemble Methods - Floods and Droughts - Hydrometeorological Forecasting - Statistical pre-processing and Post-processing - Water and Emergency Management
Introduction.- Generation and calibration of meteorological ensemble forecast.- Hydrometeorological observations and data assimilation techniques.- Model parametric uncertainty analysis techniques.- Hydrological models for converting meteorological inputs into hydrological outputs.- Post-processing of hydrological model outputs and generation of ensemble hydrological forecast products.- Verification systems.- Communication and Decision making.- Application showcases.- Mathematical basics and statistical methods.