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Variational assimilation of remotely sensed flood extents using a 2-D flood model

Lookup NU author(s): Professor Qiuhua Liang


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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.

Publication metadata

Author(s): Lai X, Liang Q, Yesou H, Daillet S

Publication type: Article

Publication status: Published

Journal: Hydrology and Earth System Sciences

Year: 2014

Volume: 18

Issue: 11

Pages: 4325-4339

Print publication date: 04/11/2014

Acceptance date: 19/09/2014

ISSN (print): 1027-5606

ISSN (electronic): 1607-7938

Publisher: Copernicus GmbH


DOI: 10.5194/hess-18-4325-2014


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Funder referenceFunder name
41071021National Natural Science Foundation of China
50709034National Natural Science Foundation of China
2012CB417000National Key Basic Research Program of China (973 Program)