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:
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.
Yang Hong is a professor of hydrometeorology and remote sensing in the School of Civil Engineering and Environmental Sciences, adjunct faculty member with the School of Meteorology, co-director of the WaTER Center, faculty member with the Advanced Radar Research Center, and affiliated member of the Center for Analysis and Prediction of Storms at the University of Oklahoma. Dr. Hong also directs the HyDROS Lab at the National Weather Center. Previously, he was a research scientist at NASA's Goddard Space Flight Center and postdoctoral researcher at University of California, Irvine. He holds a BS and MS from Peking (Beijing) University, China and Ph.D from the University of Arizona.
Jonathan J. Gourley is a research hydrologist with the NOAA/National Severe Storms Laboratory and affiliate associate professor with the School of Meteorology at the University of Oklahoma. His research interests include hydrologic prediction across scales ranging from water resources management to early warning of extreme events. Dr. Gourley was the principal inventor of a multisensor rainfall algorithm that was expanded to encompass all radars in North America and deployed to several foreign countries for operational use. He also assembled a comprehensive database that is being used to develop FLASH-a real-time flash flood forecasting system. He holds a BS, MS, and Ph.D from the University of Oklahoma.
Preface
About the Authors
Introduction to Basic Radar Principles
Radar Components
The Radar Beam
The Radar Pulse
Signal Processing
References
Radar Quantitative Precipitation Estimation
Radar Calibration
Quality Control
Signal Processing
Fuzzy Logic
Precipitation Rate Estimation
Vertical Profile of Reflectivity
Rain Gauge Adjustment
Space-Time Aggregation
Remaining Challenges
Uncertainty Estimation
References
Polarimetric Radar Quantitative Precipitation Estimation
Polarimetric Radar Variables
Polarimetric Radar Data Quality Control
Noise Effect and Reduction
Clutter Detection and Removal
Attenuation Correction
Calibration
Self-Consistency Check
Hydrometeor Classification
Polarimetric Characteristics of Radar Echoes
Classification Algorithms
Polarimetric Radar-Based QPE
Microphysical Retrievals
Raindrop Size Distribution Model
DSD Retrieval
Snowfall and Hail Estimation
Validation
References
Multi-Radar Multi-Sensor (MRMS) Algorithm
Single-Radar Processing
Dual-Polarization Quality Control
Vertical Profile of Reflectivity Correction
Product Generation
Precipitation Typology
Precipitation Estimation
Verification
Discussion
References
Advanced Radar Technologies for Quantitative Precipitation Estimation
Mobile and Gap-Filling Radars
ARRC's Shared Mobile Atmospheric Research and Teaching Radar (SMART-R)
NSSL's X-Band Polarimetric Mobile Radar (NOXP)
ARRC's Atmospheric Imaging Radar (AIR)
ARRC's Polarimetric X-Band 1000 (PX-1000)
Collaborative Adaptive Sensing of the Atmosphere (CASA)
Spaceborne Radars
Precipitation Radar aboard TRMM
Dual-Frequency Precipitation Radar aboard NASA GPM
Phased-Array Radar
Design Aspects and Product Resolution
Dual Polarization
Impact on Hydrology
References
Radar Technologies for Observing the Water Cycle
The Hydrologic Cycle
Surface Water
Streamflow Radar
Surface Water Altimetry
Synthetic Aperture Radar
Subsurface Water
L-Band Radar
C-Band Radar
Ground-Penetrating Radar
Subsurface Water
References
Radar QPE for Hydrologic Modeling
Overview of Hydrological Models
Model Classes
Model Parameters
Model State Variables and Data Assimilation
Hydrological Model Evaluation
Hydrological Evaluation of Radar QPE
Case Study in Ft. Cobb Basin, Oklahoma
Evaluation with a Hydrologic Model Calibrated to a Reference QPE
Evaluation with Monte Carlo Simulations from a Hydrologic Model
Evaluation with a Hydrologic Model Calibrated to Individual QPEs
References
Flash Flood Forecasting
Flash Flood Guidance
Flash Flood Guidance: History
Lumped Flash Flood Guidance
Flash Flood Potential Index
Gridded Flash Flood Guidance
Comments on the Use of Flash Flood Guidance
Threshold Frequency Approach
References