Titlebook: Satellite Rainfall Applications for Surface Hydrology; Mekonnen‘Gebremichael,Faisal Hossain Book 2010 Springer Science+Business Media B.V.

会议

Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Responslogic model to investigate the impact of input error on streamflow simulation. The statistical assessment of the results through probabilistic measures explores the more in-depth quality and reliability of the hydrologic response resulted from input error characterization.

MEAN

The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency algorithm framework that both selects the optimal VIS/IR predictors and determines their optimal calibration coefficients in real time. This algorithm is highly flexible and its short data latency makes it well-suited for rapidly-changing heavy rainfall situations that trigger flash flooding.

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闲逛

Book 2010ce hydrology are rare. This book, which covers both scientific and practical matters, aims to change that. With contributions from a panel of researchers from a wide range of fields, the chapters focus on evaluating the potential, utility and application of high resolution satellite precipitation pr

inchoate

The TRMM Multi-Satellite Precipitation Analysis (TMPA)precipitation from the wide variety of modern satellite-borne precipitation-related sensors. Estimates are provided at relatively fine scales (0.25° × 0.25°, 3-h) in both real and post-real time to accommodate a wide range of researchers. However, the errors inherent in the finest scale estimates ar

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CMORPH: A “Morphing” Approach for High Resolution Precipitation Product Generationlution) data. CMORPH is a global (in longitude; 60°N–60°S) high-resolution (∼0.10° latitude/longitude, 1/2-hourly) precipitation analysis technique that uses motion vectors derived from half-hourly geostationary satellite IR imagery to propagate precipitation estimates derived from passive microwave

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The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency microwave-frequency data from Earth-orbiting satellites. Rainfall rates derived from microwave-frequency data are used as a calibration target for an algorithm framework that both selects the optimal VIS/IR predictors and determines their optimal calibration coefficients in real time. This algorith

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慢慢啃

The NRL-Blend High Resolution Precipitation Product and its Application to Land Surface Hydrologysatellite omissions to the existing (late 2008) constellation of low Earth orbiting satellite platforms to examine the impact of several proxy Global Precipitation Mission (GPM) satellite constellation configurations when used to initialize land surface models (LSM). The emphasis is on how high reso