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A method is proposed to model the propagation and directional spread of ocean surface swell systems. It follows the development of the Particle-in-Cell for Efficient Swell (PiCLES) wave modeling framework (Hell et al. 2024). In particular, we study how this model spreads an initial energy spectrum in space and time. An ensemble approach is considered to sample the energy spectrum with individual particles, i.e., wave packets. Sequential importance resampling techniques are then considered to control how the discrete distribution, i.e., the particle ensemble, can match the true distribution after a time step without increasing the ensemble size. Tests are performed and compared to analytical solutions driven by the expected diffuse geometric optic behavior.

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Sequential Importance Resampling of Particle-in-Cell for Swell Dynamics

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Tom Protin,
  • Valentin Resseguier,
  • Momme Hell,
  • Bertrand Chapron,
  • Ronan Fablet

摘要

A method is proposed to model the propagation and directional spread of ocean surface swell systems. It follows the development of the Particle-in-Cell for Efficient Swell (PiCLES) wave modeling framework (Hell et al. 2024). In particular, we study how this model spreads an initial energy spectrum in space and time. An ensemble approach is considered to sample the energy spectrum with individual particles, i.e., wave packets. Sequential importance resampling techniques are then considered to control how the discrete distribution, i.e., the particle ensemble, can match the true distribution after a time step without increasing the ensemble size. Tests are performed and compared to analytical solutions driven by the expected diffuse geometric optic behavior.