Overview

As individual topics, the terms ""satellite rainfall"" and ""surface hydrology"" have beenmuchwidelystudiedoverthelastfewdecades.Eversincerainfallproducts beguntobedevelopedusingspace-borneinfraredsensorsingeostationaryorbitin theseventies,satelliteremotesensingofrainfallexperiencedtremendousprogress. Microwavesensorsonlowearthorbitscamealongduringtheeightiestoprovide more accurate estimates of rainfall at the cost of limited sampling. As the c- trastingbutcomplementarypropertiesofmicrowaveandinfraredsensorsbecame apparent,mergedrainfallproductsstartedtoappearduringthefollowingdecade.In 1997,theTropicalRainfallMeasuringMission(TRMM)withthe?rstspace-borne active microwave precipitation radar (TRMM-PR), was launched. The success of TRMMinimprovingourunderstandingonTropicalandSub-tropicalrainfalld- tribution and precipitation structures consequently spurred a larger scale mission aimed at the study of global distribution of precipitation. Today, we now eagerly anticipatetheGlobalPrecipitationMeasurement(GPM)mission,whichenvisions aglobalconstellationofmicrowavesensorsthatwillprovidemoreaccurateglobal rainfallproductsathighresolutionfrom2013onwards. Itisthereforesafetoclaimthreedecadesofresearchheritageonsatelliteremote sensing of rainfall. Similarly, the topic of ""surface hydrology"" requires no int- duction for readers of environmental sciences and geosciences either. But what happens if we connect all the individual terms and name it - ""satellite rainfall applications for surface hydrology""? A new topic is created. But little is known aboutthistopicbecausesatelliteremotesensingofrainfallandsurfacehydrology have evolved rather independently of each other. Even though the potential for a space-bornesourceofrainfalldatawasalwaysrecognizedforavarietyofappli- 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

Full Product Details

Author:   Mekonnen Gebremichael ,  Faisal Hossain
Publisher:   Springer
Imprint:   Springer
Edition:   2010 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.528kg
ISBN:  

9789401783859

ISBN 10:   9401783853
Pages:   327
Publication Date:   02 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

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.

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