Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling.

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Bibliographic Details
Title: Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling.
Authors: García-Pintado, Javier1,2 j.garcia-pintado@reading.ac.uk, Neal, Jeff C.3, Mason, David C.1,2, Dance, Sarah L.1,2, Bates, Paul D.3
Source: Journal of Hydrology. Jul2013, Vol. 495, p252-266. 15p.
Subjects: Structure-activity relationships, Water levels, Floods, Online data processing, Hydraulic measurements, Water depth, Water table
Abstract: Highlights: [•] We assimilate satellite SAR-derived water level with an ensemble filter (ETKF). [•] We evaluate the forecast sensitivity to satellite first visit and revisit time. [•] Online correction of imposed bias clearly improves the 2D flood model/DA forecast. [•] Imagery obtained early in the flood has a large influence on the forecast. [•] Revisit interval is most influential for early observations. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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