On the tuning-free statistical model of ocean surface waves

Vladimir E Zakharov, Donald Resio, Andrei Pushkarev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationStructures, Safety, and Reliability
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume3
ISBN (Electronic)9780791851227
DOIs
StatePublished - Jan 1 2018
EventASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018 - Madrid, Spain
Duration: Jun 17 2018Jun 22 2018

Other

OtherASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018
CountrySpain
CityMadrid
Period6/17/186/22/18

ASJC Scopus subject areas

  • Ocean Engineering
  • Energy Engineering and Power Technology
  • Mechanical Engineering

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  • Cite this

    Zakharov, V. E., Resio, D., & Pushkarev, A. (2018). On the tuning-free statistical model of ocean surface waves. In Structures, Safety, and Reliability (Vol. 3). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/OMAE2018-78417