Weather Radar: Principles and Advanced Applications [Hardcover]

With their images practically ubiquitious in the daily media, weather radar systems provide data not only for understanding weather systems and improving forecasts (especially critical for severe weather), but also for hydrological applications, flood warnings and climate research in which ground verification is needed for global precipitation measurements by satellites. This book offers an accessible overview of advanced methods, applications and modern research from the European perspective. An extensive introductory chapter summarizes the principles of weather radars and discusses the potential of modern radar systems, including Doppler and polarisation techniques, data processing, and error-correction methods. Addressing both specialist researchers and nonspecialists from related areas, this book will also be useful for graduate students planning to specialize in this field

All aspects of our lives are influenced by the weather and especially severe weather events - such considerations tend to become more pertinent as such weather events may become more frequent with global warming. It is evident that better weather forecasts for the next few hours, days or even weeks have a high economic value for our developed and densely populated world. Ground and air traffic management benefits, as does the construction industry, tourism, agriculture and big outdoor events such as the Olympic games. Weather fore? casting nowadays relies on numerical weather prediction models. The reliability and accuracy of forecasts however depends not only on the quality and resolution of these models, but to a high degree on the density and quality of input data from observations. Weather radar measurements complement current data such as ground observations and soundings at smaller scales and satellite observations on larger scales. Targeted weather radar measurements additionally give detailed insight into the processes governing the developments of, for example, fronl#à