Satellite Rainfall Applications for Surface Hydrology [Hardcover]

With contributions from a panel of researchers from a wide range of fields, the chapters of this book focus on evaluating the potential, utility and application of high resolution satellite precipitation products in relation to surface hydrology.

Evolution of High Resolution Precipitation Products.- The TRMM Multi-Satellite Precipitation Analysis (TMPA).- CMORPH: A Morphing Approach for High Resolution Precipitation Product Generation.- The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency Satellite-Based Rainfall Estimates.- Extreme Precipitation Estimation Using Satellite-Based PERSIANN-CCS Algorithm.- The Combined Passive Microwave-Infrared (PMIR) Algorithm.- The NRL-Blend High Resolution Precipitation Product and its Application to Land Surface Hydrology.- Kalman Filtering Applications for Global Satellite Mapping of Precipitation (GSMaP).- Evaluation of High Resolution Precipitation Products.- Neighborhood Verification of High Resolution Precipitation Products.- A Practical Guide to a Space-Time Stochastic Error Model for Simulation of High Resolution Satellite Rainfall Data.- Regional Evaluation Through Independent Precipitation Measurements: USA.- Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South America.- Evaluation Through Independent Measurements: Complex Terrain and Humid Tropical Region in Ethiopia.- Error Propagation of Satellite-Rainfall in Flood Prediction Applications over Complex Terrain: A Case Study in Northeastern Italy.- Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Response.- Real Time Operations for Decision Support Systems.- Applications of TRMM-Based Multi-Satellite Precipitation Estimation for Global Runoff Prediction: Prototyping a Global Flood Modeling System.- Real-Time Hydrology Operations at USDA for Monitoring Global Soil Moisture and Auditing National Crop Yield Estimates.- Real-Time Decision lÃn