Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Real-Time Measurements, Rogue Events, and Emerging Applications |
| Herausgeber/-innen | Daniel R. Solli, Daniel R. Solli, John M. Dudley, Bahram Jalali, Sergei K. Turitsyn |
| Herausgeber (Verlag) | SPIE |
| ISBN (elektronisch) | 9781628419672 |
| Publikationsstatus | Veröffentlicht - 9 März 2016 |
| Veranstaltung | Real-Time Measurements, Rogue Events, and Emerging Applications - San Francisco, USA / Vereinigte Staaten Dauer: 15 Feb. 2016 → 16 Feb. 2016 |
Publikationsreihe
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Band | 9732 |
| ISSN (Print) | 0277-786X |
| ISSN (elektronisch) | 1996-756X |
Abstract
Rogue waves are extremely large waves that exceed any expectation based on long-term observation and Gaussian statistics. Ocean rogue waves exceed the significant wave height in the ocean by a factor 2. Similar phenomena have been observed in a multiplicity of optical systems. While the optical systems show a much higher frequency of rogue events than the ocean, it appears nevertheless questionable what conclusions can be drawn for the prediction of ocean rogue waves. Here we tackle the problem from a different perspective and analyze the predictability of rogue events in two optical systems as well as in the ocean using nonlinear time-series analysis. Our analysis is exclusively based on experimental data. The results appear rather surprising as the optical rogue wave scenario of fiber-based supercontinuum generation does not allow any prediction whereas real ocean rogue waves and a multifilament scenario do bear a considerable amount of determinism, which allows, at least in principle, the prediction of extreme events. It becomes further clear that there exist two fundamentally different types of rogue-wave supporting systems. One class of rogue waves is obviously seeded by quantum fluctuations whereas in the other class, linear random interference of waves seems to prevail.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Real-Time Measurements, Rogue Events, and Emerging Applications. Hrsg. / Daniel R. Solli; Daniel R. Solli; John M. Dudley; Bahram Jalali; Sergei K. Turitsyn. SPIE, 2016. 973205 (Proceedings of SPIE - The International Society for Optical Engineering; Band 9732).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Nonlinear time series analysis
T2 - Real-Time Measurements, Rogue Events, and Emerging Applications
AU - Steinmeyer, Günter
AU - Birkholz, Simon
AU - Brée, Carsten
AU - Demircan, Ayhan
PY - 2016/3/9
Y1 - 2016/3/9
N2 - Rogue waves are extremely large waves that exceed any expectation based on long-term observation and Gaussian statistics. Ocean rogue waves exceed the significant wave height in the ocean by a factor 2. Similar phenomena have been observed in a multiplicity of optical systems. While the optical systems show a much higher frequency of rogue events than the ocean, it appears nevertheless questionable what conclusions can be drawn for the prediction of ocean rogue waves. Here we tackle the problem from a different perspective and analyze the predictability of rogue events in two optical systems as well as in the ocean using nonlinear time-series analysis. Our analysis is exclusively based on experimental data. The results appear rather surprising as the optical rogue wave scenario of fiber-based supercontinuum generation does not allow any prediction whereas real ocean rogue waves and a multifilament scenario do bear a considerable amount of determinism, which allows, at least in principle, the prediction of extreme events. It becomes further clear that there exist two fundamentally different types of rogue-wave supporting systems. One class of rogue waves is obviously seeded by quantum fluctuations whereas in the other class, linear random interference of waves seems to prevail.
AB - Rogue waves are extremely large waves that exceed any expectation based on long-term observation and Gaussian statistics. Ocean rogue waves exceed the significant wave height in the ocean by a factor 2. Similar phenomena have been observed in a multiplicity of optical systems. While the optical systems show a much higher frequency of rogue events than the ocean, it appears nevertheless questionable what conclusions can be drawn for the prediction of ocean rogue waves. Here we tackle the problem from a different perspective and analyze the predictability of rogue events in two optical systems as well as in the ocean using nonlinear time-series analysis. Our analysis is exclusively based on experimental data. The results appear rather surprising as the optical rogue wave scenario of fiber-based supercontinuum generation does not allow any prediction whereas real ocean rogue waves and a multifilament scenario do bear a considerable amount of determinism, which allows, at least in principle, the prediction of extreme events. It becomes further clear that there exist two fundamentally different types of rogue-wave supporting systems. One class of rogue waves is obviously seeded by quantum fluctuations whereas in the other class, linear random interference of waves seems to prevail.
KW - extreme events
KW - Grassberger-Procaccia algorithm
KW - nonlinear time series analysis
KW - Rogue waves
UR - http://www.scopus.com/inward/record.url?scp=84982146228&partnerID=8YFLogxK
U2 - 10.1117/12.2208251
DO - 10.1117/12.2208251
M3 - Conference contribution
AN - SCOPUS:84982146228
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Real-Time Measurements, Rogue Events, and Emerging Applications
A2 - Solli, Daniel R.
A2 - Solli, Daniel R.
A2 - Dudley, John M.
A2 - Jalali, Bahram
A2 - Turitsyn, Sergei K.
PB - SPIE
Y2 - 15 February 2016 through 16 February 2016
ER -