Satellite Rainfall Applications for Surface Hydrology (eBook, PDF)

Redaktion: Gebremichael, Mekonnen; Hossain, Faisal

• Format: PDF

Produktbeschreibung

tions(suchas?oodforecastinginungaugedregions,transboundarywaterresources, global/regionaldroughtandagriculturalplanning),the?eldsofsatelliterainfalland surfacehydrologyhavehardlyintersectedduringtheirdevelopmentalstagesduring thelastfewdecades.Wearenowfacedwithamyriadofquestionsrangingfrom commonoperationalissuestodetailedscienti?cinquiries.Someofthesequestions are: There are so many satellite rainfall products currently available - which one does one use for a speci?c application to get the best results? What is the optimum scaleofapplication ofsatelliterainfalldataforagiven surfaceapplication? Whatis the level of uncertainty in each satellite rainfall product and what is the implication v vi Preface for a given surface hydrologic prediction? Where do I acquire the data for research or for operational applications? How are these satellite rainfall products developed and how do they differ from one another? This book by Springer on "Satellite Rainfall Applications for Surface Hydrology" is a contribution to both scienti?c and practical questions regarding

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Produktdetails

• Verlag: Springer Netherlands
• Seitenzahl: 327
• Erscheinungstermin: 2. Dezember 2009
• Englisch
• ISBN-13: 9789048129157
• Artikelnr.: 37411921

Autorenporträt

Dr. Mekonnen Gebremichael is Assistant Professor of Civil and Environmental Engineering at the University of Connecticut. He has extensively published in the field of satellite remote sensing of hydrology. His research projects are funded by NASA, NSF and USAID, among others. Dr. Gebremichael is the recipient of awards including NASA's New Investigator Program. Dr. Faisal Hossain is Associate Professor of Water Resources in the Civil Engineering department of Tennessee Technological University. He has over 50 peer-reviewed publications in the fields of groundwater contamination mapping, flood prediction, satellite precipitation, transboundary water resources issues and engineering education. He is the recipient of numerous awards and recognitions such as NASA New Investigator Program, American Society of Engineering Education Outstanding New Faculty Research Award and Top Performer Rating by NSF Alan T Waterman Award Committee.

Inhaltsangabe

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 Support Systems: The Famine Early Warning System Network.