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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.
high performance computing --- HPC --- PETSc --- parallelization --- scalability --- parallel performance --- streams --- curvilinear --- non-hydrostatic --- ocean modeling --- GCCOM --- open boundaries --- domain decomposition --- variational data assimilation --- inverse problems --- shallow water equations --- boundary conditions --- mathematical modelling --- coastal ocean modelling --- computational methods --- hydrodynamic --- modeling --- sea level rise --- mobile application --- app --- crowdsourcing --- SCHISM --- Tidewatch --- StormSense --- Catch the King --- downstream blocking --- compound flooding --- coastal storm surge and inundation --- explosive lateral flooding --- hurricane inland and upland flooding --- coastal modelling --- operational forecasting --- model evaluation --- inter-comparison --- NEMO --- FVCOM --- Ocean Protection Plan --- turbidity current --- suspended sediment --- numerical model --- Gulf of Mexico --- cold front --- Hurricane Barry --- numerical simulation --- subtidal hydrodynamics --- multi-inlet --- volume flux --- multiscale --- multiphysics --- model coupling --- data collection --- machine learning
Choose an application
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.
Technology: general issues --- History of engineering & technology --- high performance computing --- HPC --- PETSc --- parallelization --- scalability --- parallel performance --- streams --- curvilinear --- non-hydrostatic --- ocean modeling --- GCCOM --- open boundaries --- domain decomposition --- variational data assimilation --- inverse problems --- shallow water equations --- boundary conditions --- mathematical modelling --- coastal ocean modelling --- computational methods --- hydrodynamic --- modeling --- sea level rise --- mobile application --- app --- crowdsourcing --- SCHISM --- Tidewatch --- StormSense --- Catch the King --- downstream blocking --- compound flooding --- coastal storm surge and inundation --- explosive lateral flooding --- hurricane inland and upland flooding --- coastal modelling --- operational forecasting --- model evaluation --- inter-comparison --- NEMO --- FVCOM --- Ocean Protection Plan --- turbidity current --- suspended sediment --- numerical model --- Gulf of Mexico --- cold front --- Hurricane Barry --- numerical simulation --- subtidal hydrodynamics --- multi-inlet --- volume flux --- multiscale --- multiphysics --- model coupling --- data collection --- machine learning
Choose an application
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.
Technology: general issues --- History of engineering & technology --- high performance computing --- HPC --- PETSc --- parallelization --- scalability --- parallel performance --- streams --- curvilinear --- non-hydrostatic --- ocean modeling --- GCCOM --- open boundaries --- domain decomposition --- variational data assimilation --- inverse problems --- shallow water equations --- boundary conditions --- mathematical modelling --- coastal ocean modelling --- computational methods --- hydrodynamic --- modeling --- sea level rise --- mobile application --- app --- crowdsourcing --- SCHISM --- Tidewatch --- StormSense --- Catch the King --- downstream blocking --- compound flooding --- coastal storm surge and inundation --- explosive lateral flooding --- hurricane inland and upland flooding --- coastal modelling --- operational forecasting --- model evaluation --- inter-comparison --- NEMO --- FVCOM --- Ocean Protection Plan --- turbidity current --- suspended sediment --- numerical model --- Gulf of Mexico --- cold front --- Hurricane Barry --- numerical simulation --- subtidal hydrodynamics --- multi-inlet --- volume flux --- multiscale --- multiphysics --- model coupling --- data collection --- machine learning
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