Jonathan J. Gourley – författare

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 radarFocuses on the processing of radar data to arrive at accurate estimates of rainfallAddresses advanced radar sensing principles and applicationsCovers radar technologies for observing each component of the hydrologic cycleExamines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputsDiscusses contemporary approaches in data assimilationConcludes with methods, case studies, and prediction system designIncludes downloadable MATLAB® contentFlooding 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.

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.

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 radarFocuses on the processing of radar data to arrive at accurate estimates of rainfallAddresses advanced radar sensing principles and applicationsCovers radar technologies for observing each component of the hydrologic cycleExamines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputsDiscusses contemporary approaches in data assimilationConcludes with methods, case studies, and prediction system designIncludes downloadable MATLAB® contentFlooding 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.