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Satellite Rainfall Applications for Surface Hydrology

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Cover of 'Satellite Rainfall Applications for Surface Hydrology'

Table of Contents

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    Book Overview
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    Chapter 1 The TRMM Multi-Satellite Precipitation Analysis (TMPA)
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    Chapter 2 CMORPH: A “Morphing” Approach for High Resolution Precipitation Product Generation
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    Chapter 3 The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency Satellite-Based Rainfall Estimates
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    Chapter 4 Extreme Precipitation Estimation Using Satellite-Based PERSIANN-CCS Algorithm
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    Chapter 5 The Combined Passive Microwave-Infrared (PMIR) Algorithm
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    Chapter 6 The NRL-Blend High Resolution Precipitation Product and its Application to Land Surface Hydrology
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    Chapter 7 Kalman Filtering Applications for Global Satellite Mapping of Precipitation (GSMaP)
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    Chapter 8 Neighborhood Verification of High Resolution Precipitation Products
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    Chapter 9 A Practical Guide to a Space-Time Stochastic Error Model for Simulation of High Resolution Satellite Rainfall Data
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    Chapter 10 Regional Evaluation Through Independent Precipitation Measurements: USA
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    Chapter 11 Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South America
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    Chapter 12 Evaluation Through Independent Measurements: Complex Terrain and Humid Tropical Region in Ethiopia
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    Chapter 13 Error Propagation of Satellite-Rainfall in Flood Prediction Applications over Complex Terrain: A Case Study in Northeastern Italy
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    Chapter 14 Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Response
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    Chapter 15 Applications of TRMM-Based Multi-Satellite Precipitation Estimation for Global Runoff Prediction: Prototyping a Global Flood Modeling System
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    Chapter 16 Real-Time Hydrology Operations at USDA for Monitoring Global Soil Moisture and Auditing National Crop Yield Estimates
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    Chapter 17 Satellite Rainfall Applications for Surface Hydrology
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Satellite Rainfall Applications for Surface Hydrology
Published by
Springer Netherlands, January 2010
DOI 10.1007/978-90-481-2915-7
978-9-04-812914-0, 978-9-04-812915-7

Gebremichael, Mekonnen , Hossain, Faisal

Mendeley readers

The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Italy 2 <1%
Ghana 1 <1%
France 1 <1%
Switzerland 1 <1%
Vietnam 1 <1%
Netherlands 1 <1%
India 1 <1%
Mexico 1 <1%
Other 4 2%
Unknown 211 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 23%
Student > Ph. D. Student 50 22%
Researcher 45 20%
Student > Doctoral Student 15 7%
Student > Bachelor 11 5%
Other 32 14%
Unknown 22 10%
Readers by discipline Count As %
Earth and Planetary Sciences 74 33%
Engineering 53 23%
Environmental Science 46 20%
Computer Science 7 3%
Agricultural and Biological Sciences 7 3%
Other 6 3%
Unknown 34 15%