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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 (R) 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 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 (R) 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.
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