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Multiscale, Multiphysics Modelling of Coastal Ocean Processes: Paradigms and Approaches

Multiscale, Multiphysics Modelling of Coastal Ocean Processes: Paradigms and Approaches

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This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.

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Keywords

  • app
  • boundary conditions
  • Catch the King
  • coastal modelling
  • coastal ocean modelling
  • coastal storm surge and inundation
  • cold front
  • compound flooding
  • computational methods
  • Crowdsourcing
  • curvilinear
  • Data Collection
  • domain decomposition
  • downstream blocking
  • explosive lateral flooding
  • FVCOM
  • GCCOM
  • Gulf of Mexico
  • High performance computing
  • History of engineering & technology
  • hpc
  • Hurricane Barry
  • hurricane inland and upland flooding
  • hydrodynamic
  • inter-comparison
  • inverse problems
  • Machine learning
  • mathematical modelling
  • mobile application
  • model coupling
  • model evaluation
  • modeling
  • multi-inlet
  • multiphysics
  • multiscale
  • NEMO
  • non-hydrostatic
  • numerical model
  • Numerical Simulation
  • ocean modeling
  • Ocean Protection Plan
  • open boundaries
  • operational forecasting
  • parallel performance
  • Parallelization
  • PETSc
  • Scalability
  • Schism
  • Sea level rise
  • shallow water equations
  • StormSense
  • streams
  • subtidal hydrodynamics
  • suspended sediment
  • Technology, engineering, agriculture
  • Technology: general issues
  • Tidewatch
  • turbidity current
  • variational data assimilation
  • volume flux

Links

DOI: 10.3390/books978-3-0365-2811-3

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