variational assimilation of remotely sensed flood extents using a 2-d flood model

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ID: 239955
2014
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Abstract
A variational data assimilation (4D-Var) method is proposed to directly assimilate flood extents into a 2-D dynamic flood model to explore a novel way of utilizing the rich source of remotely sensed data available from satellite imagery for better analyzing or predicting flood routing processes. For this purpose, a new cost function is specially defined to effectively fuse the hydraulic information that is implicitly indicated in flood extents. The potential of using remotely sensed flood extents for improving the analysis of flood routing processes is demonstrated by applying the present new data assimilation approach to both idealized and realistic numerical experiments.
Reference Key
lai2014hydrologyvariational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;X. Lai;Q. Liang;H. Yesou;S. Daillet
Journal materials research bulletin
Year 2014
DOI
10.5194/hess-18-4325-2014
URL
http://www.hydrol-earth-syst-sci.net/18/4325/2014/hess-18-4325-2014.pdf
Keywords
anthropology recreationenvironmental sciences sanitary engineeringgeography technologyenvironmental technology

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