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...
Ausführliche Beschreibung
Autor*in: |
Farazmand, Mohammad [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2016 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Journal of computational physics - Amsterdam : Elsevier, 1966, (2016) |
---|---|
Übergeordnetes Werk: |
year:2016 |
Links: |
---|
DOI / URN: |
10.1016/j.jcp.2017.03.054 |
---|
Katalog-ID: |
OLC1994269022 |
---|
LEADER | 01000caa a2200265 4500 | ||
---|---|---|---|
001 | OLC1994269022 | ||
003 | DE-627 | ||
005 | 20220221174643.0 | ||
007 | tu | ||
008 | 170721s2016 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1016/j.jcp.2017.03.054 |2 doi | |
028 | 5 | 2 | |a PQ20171125 |
035 | |a (DE-627)OLC1994269022 | ||
035 | |a (DE-599)GBVOLC1994269022 | ||
035 | |a (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 | ||
035 | |a (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 530 |a 510 |a 000 |q DE-600 |
100 | 1 | |a Farazmand, Mohammad |e verfasserin |4 aut | |
245 | 1 | 0 | |a Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
264 | 1 | |c 2016 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
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. | ||
650 | 4 | |a Physics | |
650 | 4 | |a Atmospheric and Oceanic Physics | |
650 | 4 | |a Dynamical Systems | |
650 | 4 | |a Computational Physics | |
650 | 4 | |a Mathematics | |
700 | 1 | |a Sapsis, Themistoklis P |4 oth | |
773 | 0 | 8 | |i Enthalten in |t Journal of computational physics |d Amsterdam : Elsevier, 1966 |g (2016) |w (DE-627)129359084 |w (DE-600)160508-2 |w (DE-576)014731401 |x 0021-9991 |7 nnns |
773 | 1 | 8 | |g year:2016 |
856 | 4 | 1 | |u http://dx.doi.org/10.1016/j.jcp.2017.03.054 |3 Volltext |
856 | 4 | 2 | |u http://arxiv.org/abs/1610.09558 |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-PHY | ||
912 | |a SSG-OLC-MAT | ||
912 | |a SSG-OPC-MAT | ||
912 | |a GBV_ILN_21 | ||
912 | |a GBV_ILN_70 | ||
951 | |a AR | ||
952 | |j 2016 |
author_variant |
m f mf |
---|---|
matchkey_str |
article:00219991:2016----::eueodrrdcinfouwvsnwdmnin |
hierarchy_sort_str |
2016 |
publishDate |
2016 |
allfields |
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 |
spelling |
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 |
allfields_unstemmed |
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 |
allfieldsGer |
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 |
allfieldsSound |
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 |
language |
English |
source |
Enthalten in Journal of computational physics (2016) year:2016 |
sourceStr |
Enthalten in Journal of computational physics (2016) year:2016 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics |
dewey-raw |
530 |
isfreeaccess_bool |
false |
container_title |
Journal of computational physics |
authorswithroles_txt_mv |
Farazmand, Mohammad @@aut@@ Sapsis, Themistoklis P @@oth@@ |
publishDateDaySort_date |
2016-01-01T00:00:00Z |
hierarchy_top_id |
129359084 |
dewey-sort |
3530 |
id |
OLC1994269022 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1994269022</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220221174643.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170721s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jcp.2017.03.054</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20171125</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1994269022</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1994269022</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="a">510</subfield><subfield code="a">000</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Farazmand, Mohammad</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reduced-order prediction of rogue waves in two-dimensional deep-water waves</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Atmospheric and Oceanic Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sapsis, Themistoklis P</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of computational physics</subfield><subfield code="d">Amsterdam : Elsevier, 1966</subfield><subfield code="g">(2016)</subfield><subfield code="w">(DE-627)129359084</subfield><subfield code="w">(DE-600)160508-2</subfield><subfield code="w">(DE-576)014731401</subfield><subfield code="x">0021-9991</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2016</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1016/j.jcp.2017.03.054</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://arxiv.org/abs/1610.09558</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2016</subfield></datafield></record></collection>
|
author |
Farazmand, Mohammad |
spellingShingle |
Farazmand, Mohammad ddc 530 misc Physics misc Atmospheric and Oceanic Physics misc Dynamical Systems misc Computational Physics misc Mathematics Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
authorStr |
Farazmand, Mohammad |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)129359084 |
format |
Article |
dewey-ones |
530 - Physics 510 - Mathematics 000 - Computer science, information & general works |
delete_txt_mv |
keep |
author_role |
aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
0021-9991 |
topic_title |
530 510 000 DE-600 Reduced-order prediction of rogue waves in two-dimensional deep-water waves Physics Atmospheric and Oceanic Physics Dynamical Systems Computational Physics Mathematics |
topic |
ddc 530 misc Physics misc Atmospheric and Oceanic Physics misc Dynamical Systems misc Computational Physics misc Mathematics |
topic_unstemmed |
ddc 530 misc Physics misc Atmospheric and Oceanic Physics misc Dynamical Systems misc Computational Physics misc Mathematics |
topic_browse |
ddc 530 misc Physics misc Atmospheric and Oceanic Physics misc Dynamical Systems misc Computational Physics misc Mathematics |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
author2_variant |
t p s tp tps |
hierarchy_parent_title |
Journal of computational physics |
hierarchy_parent_id |
129359084 |
dewey-tens |
530 - Physics 510 - Mathematics 000 - Computer science, knowledge & systems |
hierarchy_top_title |
Journal of computational physics |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)129359084 (DE-600)160508-2 (DE-576)014731401 |
title |
Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
ctrlnum |
(DE-627)OLC1994269022 (DE-599)GBVOLC1994269022 (PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0 (KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional |
title_full |
Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
author_sort |
Farazmand, Mohammad |
journal |
Journal of computational physics |
journalStr |
Journal of computational physics |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
500 - Science 000 - Computer science, information & general works |
recordtype |
marc |
publishDateSort |
2016 |
contenttype_str_mv |
txt |
author_browse |
Farazmand, Mohammad |
class |
530 510 000 DE-600 |
format_se |
Aufsätze |
author-letter |
Farazmand, Mohammad |
doi_str_mv |
10.1016/j.jcp.2017.03.054 |
dewey-full |
530 510 000 |
title_sort |
reduced-order prediction of rogue waves in two-dimensional deep-water waves |
title_auth |
Reduced-order prediction of rogue waves in two-dimensional deep-water waves |
abstract |
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. |
collection_details |
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 |
Sapsis, Themistoklis P |
ppnlink |
129359084 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth |
doi_str |
10.1016/j.jcp.2017.03.054 |
up_date |
2024-07-03T17:09:20.712Z |
_version_ |
1803578570926194689 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1994269022</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220221174643.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170721s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jcp.2017.03.054</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20171125</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1994269022</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1994269022</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)a749-ab28be4e3e38eb8e624aa5a3cba262a179deeceb4671e1e1974776db9234dc2d0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0034221120160000000000000000reducedorderpredictionofroguewavesintwodimensional</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="a">510</subfield><subfield code="a">000</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Farazmand, Mohammad</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reduced-order prediction of rogue waves in two-dimensional deep-water waves</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Atmospheric and Oceanic Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational Physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sapsis, Themistoklis P</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of computational physics</subfield><subfield code="d">Amsterdam : Elsevier, 1966</subfield><subfield code="g">(2016)</subfield><subfield code="w">(DE-627)129359084</subfield><subfield code="w">(DE-600)160508-2</subfield><subfield code="w">(DE-576)014731401</subfield><subfield code="x">0021-9991</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2016</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1016/j.jcp.2017.03.054</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://arxiv.org/abs/1610.09558</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2016</subfield></datafield></record></collection>
|
score |
7.4002256 |