Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference:



Begins with a brief introduction to radar
Focuses on the processing of radar data to arrive at accurate estimates of rainfall
Addresses advanced radar sensing principles and applications
Covers radar technologies for observing each component of the hydrologic cycle
Examines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputs
Discusses contemporary approaches in data assimilation
Concludes with methods, case studies, and prediction system design
Includes downloadable MATLAB® content

Flooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.