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| Titel |
Variational assimilation of remotely sensed flood extents using a 2-D flood model |
| VerfasserIn |
X. Lai, Q. Liang, H. Yesou, S. Daillet |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 11 ; Nr. 18, no. 11 (2014-11-04), S.4325-4339 |
| Datensatznummer |
250120512
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| Publikation (Nr.) |
 copernicus.org/hess-18-4325-2014.pdf |
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| Zusammenfassung |
| 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. |
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