Abstract
Absence of mathematically justified criteria during development of the wind energy input and wave breaking energy dissipation source terms in Hasselmann equation (HE), used as the framework of modern operational wave forecasting models, lead to creation of plethora of parameterizations, having enormous scatter, disconnected from the physical background and obeying dozens of tuning parameters to adjust the HE model to the specific situation. We show that it's possible, based on analytical analysis and experimental observation data, to create the new set of source terms, reproducing experimental observations with minimal number of tuning parameters. We also numerically analyze six historically developed and new wind input source terms for their ability to hold specific invariants, related to HE selfsimilar nature. The degree of preservation of those invariants could be used as their selection tool. We hope that this research is the step toward the creation of physically justified tuning-free operational models.
| Original language | English (US) |
|---|---|
| Title of host publication | Structures, Safety, and Reliability |
| Publisher | American Society of Mechanical Engineers (ASME) |
| Volume | 3 |
| ISBN (Electronic) | 9780791851227 |
| DOIs | |
| State | Published - Jan 1 2018 |
| Event | ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018 - Madrid, Spain Duration: Jun 17 2018 → Jun 22 2018 |
Other
| Other | ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018 |
|---|---|
| Country | Spain |
| City | Madrid |
| Period | 6/17/18 → 6/22/18 |
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ASJC Scopus subject areas
- Ocean Engineering
- Energy Engineering and Power Technology
- Mechanical Engineering
Cite this
On the tuning-free statistical model of ocean surface waves. / Zakharov, Vladimir E; Resio, Donald; Pushkarev, Andrei.
Structures, Safety, and Reliability. Vol. 3 American Society of Mechanical Engineers (ASME), 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - On the tuning-free statistical model of ocean surface waves
AU - Zakharov, Vladimir E
AU - Resio, Donald
AU - Pushkarev, Andrei
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Absence of mathematically justified criteria during development of the wind energy input and wave breaking energy dissipation source terms in Hasselmann equation (HE), used as the framework of modern operational wave forecasting models, lead to creation of plethora of parameterizations, having enormous scatter, disconnected from the physical background and obeying dozens of tuning parameters to adjust the HE model to the specific situation. We show that it's possible, based on analytical analysis and experimental observation data, to create the new set of source terms, reproducing experimental observations with minimal number of tuning parameters. We also numerically analyze six historically developed and new wind input source terms for their ability to hold specific invariants, related to HE selfsimilar nature. The degree of preservation of those invariants could be used as their selection tool. We hope that this research is the step toward the creation of physically justified tuning-free operational models.
AB - Absence of mathematically justified criteria during development of the wind energy input and wave breaking energy dissipation source terms in Hasselmann equation (HE), used as the framework of modern operational wave forecasting models, lead to creation of plethora of parameterizations, having enormous scatter, disconnected from the physical background and obeying dozens of tuning parameters to adjust the HE model to the specific situation. We show that it's possible, based on analytical analysis and experimental observation data, to create the new set of source terms, reproducing experimental observations with minimal number of tuning parameters. We also numerically analyze six historically developed and new wind input source terms for their ability to hold specific invariants, related to HE selfsimilar nature. The degree of preservation of those invariants could be used as their selection tool. We hope that this research is the step toward the creation of physically justified tuning-free operational models.
UR - http://www.scopus.com/inward/record.url?scp=85055535956&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055535956&partnerID=8YFLogxK
U2 - 10.1115/OMAE2018-78417
DO - 10.1115/OMAE2018-78417
M3 - Conference contribution
AN - SCOPUS:85055535956
VL - 3
BT - Structures, Safety, and Reliability
PB - American Society of Mechanical Engineers (ASME)
ER -