Reconstructing wave profiles from inundation data
This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Funke, S.W. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
20 |
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| Übergeordnetes Werk: |
Enthalten in: Does enhanced hydration have impact on autogenous deformation of internally cued mortar? - Zou, Dinghua ELSEVIER, 2019, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:322 ; year:2017 ; day:1 ; month:08 ; pages:167-186 ; extent:20 |
| Links: |
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| DOI / URN: |
10.1016/j.cma.2017.04.019 |
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| Katalog-ID: |
ELV030201373 |
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| 520 | |a This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. | ||
| 520 | |a This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. | ||
| 650 | 7 | |a Finite element method |2 Elsevier | |
| 650 | 7 | |a Wetting and drying |2 Elsevier | |
| 650 | 7 | |a Sensitivity analysis |2 Elsevier | |
| 650 | 7 | |a Adjoint wetting and drying |2 Elsevier | |
| 650 | 7 | |a Data assimilation |2 Elsevier | |
| 700 | 1 | |a Farrell, P.E. |4 oth | |
| 700 | 1 | |a Piggott, M.D. |4 oth | |
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10.1016/j.cma.2017.04.019 doi GBV00000000000130A.pica (DE-627)ELV030201373 (ELSEVIER)S0045-7825(16)31916-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 690 VZ 56.45 bkl Funke, S.W. verfasserin aut Reconstructing wave profiles from inundation data 2017transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. Finite element method Elsevier Wetting and drying Elsevier Sensitivity analysis Elsevier Adjoint wetting and drying Elsevier Data assimilation Elsevier Farrell, P.E. oth Piggott, M.D. oth Enthalten in Elsevier Science Zou, Dinghua ELSEVIER Does enhanced hydration have impact on autogenous deformation of internally cued mortar? 2019 Amsterdam [u.a.] (DE-627)ELV002113945 volume:322 year:2017 day:1 month:08 pages:167-186 extent:20 https://doi.org/10.1016/j.cma.2017.04.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.45 Baustoffkunde VZ AR 322 2017 1 0801 167-186 20 045F 004 |
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10.1016/j.cma.2017.04.019 doi GBV00000000000130A.pica (DE-627)ELV030201373 (ELSEVIER)S0045-7825(16)31916-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 690 VZ 56.45 bkl Funke, S.W. verfasserin aut Reconstructing wave profiles from inundation data 2017transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. Finite element method Elsevier Wetting and drying Elsevier Sensitivity analysis Elsevier Adjoint wetting and drying Elsevier Data assimilation Elsevier Farrell, P.E. oth Piggott, M.D. oth Enthalten in Elsevier Science Zou, Dinghua ELSEVIER Does enhanced hydration have impact on autogenous deformation of internally cued mortar? 2019 Amsterdam [u.a.] (DE-627)ELV002113945 volume:322 year:2017 day:1 month:08 pages:167-186 extent:20 https://doi.org/10.1016/j.cma.2017.04.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.45 Baustoffkunde VZ AR 322 2017 1 0801 167-186 20 045F 004 |
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10.1016/j.cma.2017.04.019 doi GBV00000000000130A.pica (DE-627)ELV030201373 (ELSEVIER)S0045-7825(16)31916-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 690 VZ 56.45 bkl Funke, S.W. verfasserin aut Reconstructing wave profiles from inundation data 2017transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. Finite element method Elsevier Wetting and drying Elsevier Sensitivity analysis Elsevier Adjoint wetting and drying Elsevier Data assimilation Elsevier Farrell, P.E. oth Piggott, M.D. oth Enthalten in Elsevier Science Zou, Dinghua ELSEVIER Does enhanced hydration have impact on autogenous deformation of internally cued mortar? 2019 Amsterdam [u.a.] (DE-627)ELV002113945 volume:322 year:2017 day:1 month:08 pages:167-186 extent:20 https://doi.org/10.1016/j.cma.2017.04.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.45 Baustoffkunde VZ AR 322 2017 1 0801 167-186 20 045F 004 |
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10.1016/j.cma.2017.04.019 doi GBV00000000000130A.pica (DE-627)ELV030201373 (ELSEVIER)S0045-7825(16)31916-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 690 VZ 56.45 bkl Funke, S.W. verfasserin aut Reconstructing wave profiles from inundation data 2017transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. Finite element method Elsevier Wetting and drying Elsevier Sensitivity analysis Elsevier Adjoint wetting and drying Elsevier Data assimilation Elsevier Farrell, P.E. oth Piggott, M.D. oth Enthalten in Elsevier Science Zou, Dinghua ELSEVIER Does enhanced hydration have impact on autogenous deformation of internally cued mortar? 2019 Amsterdam [u.a.] (DE-627)ELV002113945 volume:322 year:2017 day:1 month:08 pages:167-186 extent:20 https://doi.org/10.1016/j.cma.2017.04.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.45 Baustoffkunde VZ AR 322 2017 1 0801 167-186 20 045F 004 |
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10.1016/j.cma.2017.04.019 doi GBV00000000000130A.pica (DE-627)ELV030201373 (ELSEVIER)S0045-7825(16)31916-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 690 VZ 56.45 bkl Funke, S.W. verfasserin aut Reconstructing wave profiles from inundation data 2017transfer abstract 20 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. Finite element method Elsevier Wetting and drying Elsevier Sensitivity analysis Elsevier Adjoint wetting and drying Elsevier Data assimilation Elsevier Farrell, P.E. oth Piggott, M.D. oth Enthalten in Elsevier Science Zou, Dinghua ELSEVIER Does enhanced hydration have impact on autogenous deformation of internally cued mortar? 2019 Amsterdam [u.a.] (DE-627)ELV002113945 volume:322 year:2017 day:1 month:08 pages:167-186 extent:20 https://doi.org/10.1016/j.cma.2017.04.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.45 Baustoffkunde VZ AR 322 2017 1 0801 167-186 20 045F 004 |
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Enthalten in Does enhanced hydration have impact on autogenous deformation of internally cued mortar? Amsterdam [u.a.] volume:322 year:2017 day:1 month:08 pages:167-186 extent:20 |
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Does enhanced hydration have impact on autogenous deformation of internally cued mortar? |
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Does enhanced hydration have impact on autogenous deformation of internally cued mortar? |
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Reconstructing wave profiles from inundation data |
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Reconstructing wave profiles from inundation data |
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Funke, S.W. |
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Does enhanced hydration have impact on autogenous deformation of internally cued mortar? |
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Funke, S.W. |
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Funke, S.W. |
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10.1016/j.cma.2017.04.019 |
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004 690 |
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reconstructing wave profiles from inundation data |
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Reconstructing wave profiles from inundation data |
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This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. |
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This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. |
| abstract_unstemmed |
This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L ∞ error of less than 1 %. |
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Reconstructing wave profiles from inundation data |
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https://doi.org/10.1016/j.cma.2017.04.019 |
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Farrell, P.E. Piggott, M.D. |
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