Abstract : In recent years, various flow problems have emerged in geosciences, and they demand development in numerical methods to meet scientific research and industry application needs. Such problems are generally multiscale and multiphysics; they involve various phenomena at different spatial and temporal scales, and our capabilities to simulate the problems remain limited. An example problem is the 2010 Gulf of Mexico oil spill that started from a small-scale effluent jet at the bottom of the ocean and then migrated to water surfaces as floating film patches with huge horizontal sizes. These problems are beyond the reach of conventional approaches, and their simulation is challenging, and new methods have to be developed. This symposium provides researchers with a platform to present their algorithms and simulations for these flow problems, including porous media flows, atmosphere flows, ocean flows, ocean ecosystems, etc. The presenters will discuss encountered difficulties, possible approaches, and future directions. The symposium contains presentations on computational methods and simulation of actual industry problems.
Organizer(s) : Jose E. Castillo, Hansong Tang, Anne-Claire Bennis
[03640] Non-stationary probabilistic tsunami hazard assessments incorporating the influence of tides and sea level rise
Format : Online Talk on Zoom
Author(s) :
Ignacio Sepulveda (San Diego State University)
Abstract : Tides are often the largest source of sea levels fluctuations. Two probabilistic-tsunami-hazard-assessments (PTHA) methods are proposed to combine the tidal-phase uncertainty with other tsunami uncertainties. The first method adopts a Stochastic-Reduced Order-Model (SROM) producing sets of tidal phase samples to be used in tsunami simulations. The second method uses tsunami simulations with prescribed collocation-tidal-phases and probability distributions to model the uncertainty. The methods are extended to non-stationary-probabilistic-tsunami-hazard-assessments (nPTHA), combining tsunamis, tides and sea level rise.
[02149] A hybrid numerical method for dispersive multiphase porous media flows
Format : Online Talk on Zoom
Author(s) :
Prabir Daripa (Texas A&M University, College Station)
Abstract : We discuss a recently developed model of multiphase multicomponent porous media flows in the context of shear-thinning polymer flooding. This model is based on Darcy’s law, Buckley-Leverett equations and shear-thinning constitutive laws. A multiscale hybrid numerical method based on a combination of discontinuous finite element method, modified method of characteristics, and data driven strategies is developed to solve this model. We study effects of dispersion and shear-thinning on the advective transport of constituents like polymers.
[01968] Ocean canyon dynamics modeled using Mimetic Curvilinear Coastal Ocean Model
Format : Talk at Waseda University
Author(s) :
Jared Brzenski (San Diego State University)
Abstract : A 3D case study for Monterey Bay, CA, is performed to validate and demonstrate the capabilities of the Mimetic Coastal Ocean Model (MCCOM) model for simulating non-hydrostatic flows. The MCCOM model can resolve features such as stratified flows, internal bore formation, and strongly nonlinear internal wave processes inside the steep bathymetry of the Monterey Canyon system by implementing the model on a fully 3D curvilinear mesh.
[01610] Hierarchical models for the numerical simulation of shallow water flows
Format : Talk at Waseda University
Author(s) :
Julian Koellermeier (University of Groningen)
Abstract : We introduce hierarchical moment models as a flexible way to derive hierarchies of models for shallow flows. The new hierarchical models are based on an expansion of the velocity profile. The equations for the expansion coefficients constitute an hierarchical system. We will exemplify the hierarchical models for 1D and 2D application cases including their analysis and the extension to complex fluids. We highlight runtime and accuracy improvements with respect to standard shallow water equations.
[02375] A stability solver for nonlinear mountain waves
Format : Talk at Waseda University
Author(s) :
Craig Epifanio (Texas A&M University)
Prabir Daripa (Texas A&M University)
Kevin Viner (Naval Research Lab, Monterey)
Abstract : One of the primary sources of clear-air turbulence in the atmosphere is the breaking of internal gravity waves forced by topography, otherwise known as mountain waves. In the present work, the linear stability of nonlinear mountain waves is considered through the application of a steady-state Newton solver combined with a discretized large eigenvalue problem. The results show that mountain waves are subject to instability over a broader range of parameters than previously considered.
[02890] Coupling numerical solutions of NS and GFD equations for ocean flows
Format : Talk at Waseda University
Author(s) :
Hansong Tang (City College of New York)
Abstract : This talk discusses the integration of a solver of the Navier Stokes (NS) equations and a solver for the geophysical fluid dynamics (GFD) equations. In the integrated system, the NS solver is applied to local, fully 3D flow phenomena, and the GFD solver is adopted to simulate the background ocean flows. We will discuss the coupling methods and numerical experiments. The presentation will also discuss the difficulties and topics of future study.
[02177] A machine learning approach to phytoplankton productivity across the GoM
Format : Online Talk on Zoom
Author(s) :
Bailey Armos (Texas A&M University)
Shuang Zhang (Texas A&M University)
Prabir Daripa (Texas A&M University)
Abstract : Although the hypoxia and algal bloom events seen within the Gulf of Mexico (GoM) have been largely linked to nitrogen loading from the Mississippi River, the nutrient inputs from smaller have been largely unexplored. In this study, we built machine learning models from coupled river-ocean data to better understand and quantify the chlorophyll content on multiple timescales in different regions of the GoM. Our study will help mitigation strategies in a changing coastal environment.
