Research on the statistical characteristic of freak waves based on observed wave data

Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical c...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ji, Xinran [verfasserIn] Li, Aiping [verfasserIn] Li, Jixuan [verfasserIn] Wang, Lei [verfasserIn] Wang, Daoru [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Freak wave Wave height distribution Occurrence probability Generation mechanism

Übergeordnetes Werk:	Enthalten in: Ocean engineering - Amsterdam [u.a.] : Elsevier Science, 1970, 243
Übergeordnetes Werk:	volume:243

DOI / URN:	10.1016/j.oceaneng.2021.110323

Katalog-ID:	ELV007205139

Internformat


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520			\|a Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition.
650		4	\|a Freak wave
650		4	\|a Wave height distribution
650		4	\|a Occurrence probability
650		4	\|a Generation mechanism
700	1		\|a Li, Aiping \|e verfasserin \|4 aut
700	1		\|a Li, Jixuan \|e verfasserin \|4 aut
700	1		\|a Wang, Lei \|e verfasserin \|4 aut
700	1		\|a Wang, Daoru \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Ocean engineering \|d Amsterdam [u.a.] : Elsevier Science, 1970 \|g 243 \|h Online-Ressource \|w (DE-627)30658977X \|w (DE-600)1498543-3 \|w (DE-576)259484164 \|x 0029-8018 \|7 nnns
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publishDate	2021
allfields	10.1016/j.oceaneng.2021.110323 doi (DE-627)ELV007205139 (ELSEVIER)S0029-8018(21)01624-3 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Ji, Xinran verfasserin (orcid)0000-0002-1276-6658 aut Research on the statistical characteristic of freak waves based on observed wave data 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition. Freak wave Wave height distribution Occurrence probability Generation mechanism Li, Aiping verfasserin aut Li, Jixuan verfasserin aut Wang, Lei verfasserin aut Wang, Daoru verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 243 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:243 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 243
spelling	10.1016/j.oceaneng.2021.110323 doi (DE-627)ELV007205139 (ELSEVIER)S0029-8018(21)01624-3 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Ji, Xinran verfasserin (orcid)0000-0002-1276-6658 aut Research on the statistical characteristic of freak waves based on observed wave data 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition. Freak wave Wave height distribution Occurrence probability Generation mechanism Li, Aiping verfasserin aut Li, Jixuan verfasserin aut Wang, Lei verfasserin aut Wang, Daoru verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 243 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:243 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 243
allfields_unstemmed	10.1016/j.oceaneng.2021.110323 doi (DE-627)ELV007205139 (ELSEVIER)S0029-8018(21)01624-3 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Ji, Xinran verfasserin (orcid)0000-0002-1276-6658 aut Research on the statistical characteristic of freak waves based on observed wave data 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition. Freak wave Wave height distribution Occurrence probability Generation mechanism Li, Aiping verfasserin aut Li, Jixuan verfasserin aut Wang, Lei verfasserin aut Wang, Daoru verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 243 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:243 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 243
allfieldsGer	10.1016/j.oceaneng.2021.110323 doi (DE-627)ELV007205139 (ELSEVIER)S0029-8018(21)01624-3 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Ji, Xinran verfasserin (orcid)0000-0002-1276-6658 aut Research on the statistical characteristic of freak waves based on observed wave data 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition. Freak wave Wave height distribution Occurrence probability Generation mechanism Li, Aiping verfasserin aut Li, Jixuan verfasserin aut Wang, Lei verfasserin aut Wang, Daoru verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 243 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:243 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 243
allfieldsSound	10.1016/j.oceaneng.2021.110323 doi (DE-627)ELV007205139 (ELSEVIER)S0029-8018(21)01624-3 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Ji, Xinran verfasserin (orcid)0000-0002-1276-6658 aut Research on the statistical characteristic of freak waves based on observed wave data 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition. Freak wave Wave height distribution Occurrence probability Generation mechanism Li, Aiping verfasserin aut Li, Jixuan verfasserin aut Wang, Lei verfasserin aut Wang, Daoru verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 243 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:243 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 243
language	English
source	Enthalten in Ocean engineering 243 volume:243
sourceStr	Enthalten in Ocean engineering 243 volume:243
format_phy_str_mv	Article
bklname	Meerestechnik
institution	findex.gbv.de
topic_facet	Freak wave Wave height distribution Occurrence probability Generation mechanism
dewey-raw	690
isfreeaccess_bool	false
container_title	Ocean engineering
authorswithroles_txt_mv	Ji, Xinran @@aut@@ Li, Aiping @@aut@@ Li, Jixuan @@aut@@ Wang, Lei @@aut@@ Wang, Daoru @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	30658977X
dewey-sort	3690
id	ELV007205139
language_de	englisch
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author	Ji, Xinran
spellingShingle	Ji, Xinran ddc 690 bkl 50.92 misc Freak wave misc Wave height distribution misc Occurrence probability misc Generation mechanism Research on the statistical characteristic of freak waves based on observed wave data
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topic_title	690 DE-600 50.92 bkl Research on the statistical characteristic of freak waves based on observed wave data Freak wave Wave height distribution Occurrence probability Generation mechanism
topic	ddc 690 bkl 50.92 misc Freak wave misc Wave height distribution misc Occurrence probability misc Generation mechanism
topic_unstemmed	ddc 690 bkl 50.92 misc Freak wave misc Wave height distribution misc Occurrence probability misc Generation mechanism
topic_browse	ddc 690 bkl 50.92 misc Freak wave misc Wave height distribution misc Occurrence probability misc Generation mechanism
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title	Research on the statistical characteristic of freak waves based on observed wave data
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title_full	Research on the statistical characteristic of freak waves based on observed wave data
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author_browse	Ji, Xinran Li, Aiping Li, Jixuan Wang, Lei Wang, Daoru
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title_sort	research on the statistical characteristic of freak waves based on observed wave data
title_auth	Research on the statistical characteristic of freak waves based on observed wave data
abstract	Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition.
abstractGer	Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition.
abstract_unstemmed	Freak waves are characterized by high wave, great destructive power, abrupt behavior, and a significant threat to offshore structures. In this study, the observed wave data of multiple sea areas are utilized, the relation between the occurrence of freak waves at real sea states and the statistical characteristics of wave trains are investigated, and the probable reasons for freak wave generation at real sea conditions is explored. It can be found that for the wave trains with higher kurtosis, the occurrence probability of huge wave height is underestimated by the Rayleigh distribution. It can be accurately predicted by the MER distribution and GC distribution. Generally, the occurrence probability of freak wave increases linearly with the increase of kurtosis from the statistical results, and the MER model is capable of describing the relation between occurrence probability of freak wave and kurtosis. Moreover, the generation types of freak waves are analyzed based on the wavelet energy spectrum and time process of wave surface for typical freak waves in the observation data. Freak waves at real sea states are attributed to the modulation instability and wave energy superposition.
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title_short	Research on the statistical characteristic of freak waves based on observed wave data
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author2	Li, Aiping Li, Jixuan Wang, Lei Wang, Daoru
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doi_str	10.1016/j.oceaneng.2021.110323
up_date	2024-07-06T23:57:45.950Z
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Research on the statistical characteristic of freak waves based on observed wave data

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