Reprint
Multiscale, Multiphysics Modelling of Coastal Ocean Processes: Paradigms and Approaches
Edited by
February 2022
172 pages
- ISBN978-3-0365-2810-6 (Hardback)
- ISBN978-3-0365-2811-3 (PDF)
This book is a reprint of the Special Issue Multiscale, Multiphysics Modelling of Coastal Ocean Processes: Paradigms and Approaches that was published in
Engineering
Environmental & Earth Sciences
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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; domain decomposition; data collection; machine learning