Details
| Original language | English |
|---|---|
| Title of host publication | Real-Time Measurements, Rogue Events, and Emerging Applications |
| Editors | Daniel R. Solli, Daniel R. Solli, John M. Dudley, Bahram Jalali, Sergei K. Turitsyn |
| Publisher | SPIE |
| ISBN (electronic) | 9781628419672 |
| Publication status | Published - 9 Mar 2016 |
| Event | Real-Time Measurements, Rogue Events, and Emerging Applications - San Francisco, United States Duration: 15 Feb 2016 → 16 Feb 2016 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 9732 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 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.
Keywords
- extreme events, Grassberger-Procaccia algorithm, nonlinear time series analysis, Rogue waves
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
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Real-Time Measurements, Rogue Events, and Emerging Applications. ed. / 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; Vol. 9732).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -