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

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AXIOM

HEDGE

A Practical Guide to a Space-Time Stochastic Error Model for Simulation of High Resolution Satelliteuide that readers can refer to, is useful. In this chapter, we provide our readers with one such practical guide on a space-time stochastic error model called SREM2D (A Two Dimensional Satellite Rainfall Error Model) developed by Hossain and Anagnostou (.., 44(6), pp. 1511–1522, 2006). Our guide fir

抗原

Hallmark

Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South America 0.25°. The evaluated TMPA products are TRMM-3B42 and TRMM-3B42RT. The first of the two validations region is located over the Ethiopian highlands in the Horn of Africa. The second is located over the highlands of Columbia in South America. Both sites are characterized by a very complex terrain. Rel

血統(tǒng)

Evaluation Through Independent Measurements: Complex Terrain and Humid Tropical Region in Ethiopiaed during summer monsoon 2008 in a very complex terrain and humid tropical region in Ethiopia. Two high-resolution satellite rainfall products, namely, PERSIANN-CCS available at 1-h and 0.04° resolution, and CMORPH available at 30-min and 0.08° resolution. Both remotely-sensed products underestimate

Spinous-Process

Error Propagation of Satellite-Rainfall in Flood Prediction Applications over Complex Terrain: A Cas a major flood event that occurred in October 1996 in a complex terrain basin of the northeastern region of Italy. A satellite rainfall error model is calibrated and used to generate rainfall ensembles based on two different satellite products and spatio-temporal resolutions. The generated ensembles

自愛(ài)

Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Responstic characterization of uncertainty in satellite precipitation estimate and the corresponding uncertain hydrologic response can better aid water resources managers in their decision making. In this study, the standard error of satellite-based PERSIANN-CCS rainfall estimates conditioning on the assum

芳香一點(diǎn)

Applications of TRMM-Based Multi-Satellite Precipitation Estimation for Global Runoff Prediction: Prscribes a modular-structured Global Flood Monitoring (GFM) framework that incorporates satellite-based near real-time rainfall flux into a cost-effective hydrological model for flood modeling quasi-globally. This framework includes four major components: TRMM-based real-time precipitation, a global

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