Deterministic and Advanced Statistical Modeling of Wind-Driven Sea
Abstract
Development of accurate and fast advanced statistical and dynamical nonlinear models of ocean surface waves, based on first physical principles, which will improve and accelerate both long term ocean surface wave turbulence forecasts and prediction of strongly coherent events, such as freak waves and wave-breakings. Creation of better statistical models for improvement of existing operational wave prediction programs; study of non-stationary waves growth in presence of wind; interpretation of experimental data through study of self-similar solutions of Hasselmann equation; studying the integrability of ID dynamical equations for surface waves; study of the possibility of generalization of compact ID water waves equation for 2D situation; study of the implications of modulational instability on solitons, rogue waves and air-surface interaction.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 06, 2015
- Accession Number
- ADA622079
Entities
People
- Andrei Pushkarev
- Vladimir Zakharov