Reduced-order prediction of rogue waves in two-dimensional deep-water waves
We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely...
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| Autor*in: |
Farazmand, Mohammad [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of computational physics - Amsterdam : Elsevier, 1966, (2016) |
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| Übergeordnetes Werk: |
year:2016 |
| Links: |
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| DOI / URN: |
10.1016/j.jcp.2017.03.054 |
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| 520 | |a We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. | ||
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10.1016/j.jcp.2017.03.054 doi PQ20171125 (DE-627)OLC1994269022 (DE-599)GBVOLC1994269022 (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional DE-627 ger DE-627 rakwb eng 530 510 000 DE-600 Farazmand, Mohammad verfasserin aut Reduced-order prediction of rogue waves in two-dimensional deep-water waves 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics Sapsis, Themistoklis P oth Enthalten in Journal of computational physics Amsterdam : Elsevier, 1966 (2016) (DE-627)129359084 (DE-600)160508-2 (DE-576)014731401 0021-9991 nnns year:2016 http://dx.doi.org/10.1016/j.jcp.2017.03.054 Volltext http://arxiv.org/abs/1610.09558 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_70 AR 2016 |
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10.1016/j.jcp.2017.03.054 doi PQ20171125 (DE-627)OLC1994269022 (DE-599)GBVOLC1994269022 (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional DE-627 ger DE-627 rakwb eng 530 510 000 DE-600 Farazmand, Mohammad verfasserin aut Reduced-order prediction of rogue waves in two-dimensional deep-water waves 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics Sapsis, Themistoklis P oth Enthalten in Journal of computational physics Amsterdam : Elsevier, 1966 (2016) (DE-627)129359084 (DE-600)160508-2 (DE-576)014731401 0021-9991 nnns year:2016 http://dx.doi.org/10.1016/j.jcp.2017.03.054 Volltext http://arxiv.org/abs/1610.09558 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_70 AR 2016 |
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10.1016/j.jcp.2017.03.054 doi PQ20171125 (DE-627)OLC1994269022 (DE-599)GBVOLC1994269022 (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional DE-627 ger DE-627 rakwb eng 530 510 000 DE-600 Farazmand, Mohammad verfasserin aut Reduced-order prediction of rogue waves in two-dimensional deep-water waves 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics Sapsis, Themistoklis P oth Enthalten in Journal of computational physics Amsterdam : Elsevier, 1966 (2016) (DE-627)129359084 (DE-600)160508-2 (DE-576)014731401 0021-9991 nnns year:2016 http://dx.doi.org/10.1016/j.jcp.2017.03.054 Volltext http://arxiv.org/abs/1610.09558 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_70 AR 2016 |
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10.1016/j.jcp.2017.03.054 doi PQ20171125 (DE-627)OLC1994269022 (DE-599)GBVOLC1994269022 (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional DE-627 ger DE-627 rakwb eng 530 510 000 DE-600 Farazmand, Mohammad verfasserin aut Reduced-order prediction of rogue waves in two-dimensional deep-water waves 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics Sapsis, Themistoklis P oth Enthalten in Journal of computational physics Amsterdam : Elsevier, 1966 (2016) (DE-627)129359084 (DE-600)160508-2 (DE-576)014731401 0021-9991 nnns year:2016 http://dx.doi.org/10.1016/j.jcp.2017.03.054 Volltext http://arxiv.org/abs/1610.09558 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_70 AR 2016 |
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10.1016/j.jcp.2017.03.054 doi PQ20171125 (DE-627)OLC1994269022 (DE-599)GBVOLC1994269022 (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional DE-627 ger DE-627 rakwb eng 530 510 000 DE-600 Farazmand, Mohammad verfasserin aut Reduced-order prediction of rogue waves in two-dimensional deep-water waves 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics Sapsis, Themistoklis P oth Enthalten in Journal of computational physics Amsterdam : Elsevier, 1966 (2016) (DE-627)129359084 (DE-600)160508-2 (DE-576)014731401 0021-9991 nnns year:2016 http://dx.doi.org/10.1016/j.jcp.2017.03.054 Volltext http://arxiv.org/abs/1610.09558 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_70 AR 2016 |
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Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
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We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. |
| abstractGer |
We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. |
| abstract_unstemmed |
We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the action of localized nonlinear wave interactions that leads to focusing. Instead of a direct simulation approach, we rely on the decomposition of the wave field into a discrete set of localized wave groups with optimal length scales and amplitudes. Due to the short-term character of the prediction, these wave groups do not interact and therefore their dynamics can be characterized individually. Using direct numerical simulations of the governing envelope equations we precompute the expected maximum elevation for each of those wave groups. The combination of the wave field decomposition algorithm, which provides information about the statistics of the system, and the precomputed map for the expected wave group elevation, which encodes dynamical information, allows (i) for understanding of how the probability of occurrence of rogue waves changes as the spectrum parameters vary, (ii) the computation of a critical length scale characterizing wave groups with high probability of evolving to rogue waves, and (iii) the formulation of a robust and parsimonious reduced-order prediction scheme for large waves. We assess the validity of this scheme in several cases of ocean wave spectra. |
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GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_70 |
| title_short |
Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
| url |
http://dx.doi.org/10.1016/j.jcp.2017.03.054 http://arxiv.org/abs/1610.09558 |
| remote_bool |
false |
| author2 |
Sapsis, Themistoklis P |
| author2Str |
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| ppnlink |
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| doi_str |
10.1016/j.jcp.2017.03.054 |
| up_date |
2024-07-03T17:09:20.712Z |
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