ePrints

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

Lookup NU author(s): Professor Qiuhua Liang

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

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.

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

URL: http://dx.doi.org/10.5194/hess-18-4325-2014

DOI: 10.5194/hess-18-4325-2014

Altmetrics

Funding

Share