Radar Hydrology : Principles, Models, and Applications

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.

• Provides a comprehensive reference solely dedicated to radar hydrology
• Supplies a theoretical framework and practical knowledge of radar precipitation estimation
• Aids in understanding the physical systems and detection tools, as well as designing prediction systems

Preface
About the Authors

Chapter 1 : Introduction to Basic Radar Principles
Chapter 2 : Radar Quantitative Precipitation Estimation
Chapter 3 : Polarimetric Radar Quantitative Precipitation Estimation
Chapter 4 : Multi-Radar Multi-Sensor (MRMS) Algorithm
Chapter 5 : Advanced Radar Technologies for Quantitative Precipitation Estimation
Chapter 6 : Radar Technologies for Observing the Water Cycle
Chapter 7 : Radar QPE for Hydrologic Modeling
Chapter 8 : Flash Flood Forecasting

Index