Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves

Ähnliche Einträge

• Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
  von: Ehlers, Svenja, et al.
  Veröffentlicht: (2023)
• On the limiting geometry of unsteady breaking waves subject to co-flowing wind: spectrally-informed versus locally-measured steepness
  von: Cao, Rui, et al.
  Veröffentlicht: (2026)
• Breaking-induced energy dissipation of surface gravity waves at varying scales and co-flowing wind stresses
  von: Cao, Rui, et al.
  Veröffentlicht: (2026)
• Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks
  von: Ehlers, Svenja, et al.
  Veröffentlicht: (2024)
• Near-inertial waves enhance vertical transport at ocean fronts
  von: Paul, Nihar, et al.
  Veröffentlicht: (2025)