Satellite Rainfall Applications for Surface Hydrology

Satellite Rainfall Applications for Surface Hydrology

 

210,22 €
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Editorial:
Springer Nature B.V.
Año de edición:
2014
Materia
Ciencia, ingeniería y tecnología medioambientales
ISBN:
9789401783859
210,22 €
IVA incluido
Disponible

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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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