EP51C:
Moving Down the Chain: Studying Earth Surface Processes using Computational Fluid Dynamics Approaches across Scales I

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Session ID#: 18082

Session Description:
Modeling the dynamics of surface processes, e.g., the movement of fluids, and the flux of sediment and solutes requires a multi-scale approach. From a sand grain to regional scales, computational fluid dynamics (CFD) is a vital tool in the understanding of competing mechanisms, their interactions as well as accurate predictions. CFD has been applied to understand processes relevant to geomorphology and sediment source to sink, such as sedimentation, resuspension and turbidity currents. A grand challenge, e.g., as has been addressed by the Community Surface Dynamics Modeling System (CSDMS), is to effectively integrate key processes of different scales through parameterizations, model coupling, adaptive mesh refinement, and assimilative methodology. The purpose of this session is to get together researchers who use CFD to tackle earth surface processes. Particularly, we welcome abstracts addressing how model development and applications at different scales can collectively improve our physical understanding and prediction of earth surface processes.
Primary Convener:  Tian-Jian Hsu, University of Delaware, Civil, Construction, and Environmental Engineering, Newark, United States
Conveners:  Eckart Heinz Meiburg, University of California Santa Barbara, Santa Barbara, CA, United States, Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States and Xiaofeng Liu, Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States
Chairs:  Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States and Xiaofeng Liu, Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States
OSPA Liaison:  Tian-Jian Hsu, University of Delaware, Civil, Construction, and Environmental Engineering, Newark, United States
Co-Organized with:
Ocean Sciences, Ocean Sciences, and Hydrology

Cross-Listed:
  • H - Hydrology
  • NH - Natural Hazards
  • OS - Ocean Sciences

Proposed Co-Organized Session with:
  • H - Hydrology
  • OS - Ocean Sciences
Index Terms:

1862 Sediment transport [HYDROLOGY]
1902 Community modeling frameworks [INFORMATICS]
3022 Marine sediments: processes and transport [MARINE GEOLOGY AND GEOPHYSICS]
4568 Turbulence, diffusion, and mixing processes [OCEANOGRAPHY: PHYSICAL]

Abstracts Submitted to this Session:

From DNS to RANS: A Multi-model workflow to understand the Influence of Hurricanes on Generating Turbidity Currents in the Gulf of Mexico (Invited) (126659)
James P Syvitski1, Hernan Arango2, Dr. Courtney Kay Harris, Ph.D.3, Eckart Heinz Meiburg4, Chris J Jenkins5, Guillermo Auad6, Eric Hutton7, Tara A Kniskern8 and Senthilkumaran Radhakrishnan4, (1)University of Colorado at Boulder, CSDMS/INSTAAR, Boulder, CO, United States, (2)Rutgers University, New Brunswick, NJ, United States, (3)Virginia Institute of Marine Science, William & Mary, Gloucester Point, United States, (4)University of California Santa Barbara, Santa Barbara, CA, United States, (5)Organization Not Listed, Washington, DC, United States, (6)U.S. Bureau of Ocean Energy Management, Sterling, United States, (7)Community Surface Dynamics Modeling System, Boulder, United States, (8)Virginia Institute of Marine Science, Gloucester Point, VA, United States
A coupled nearfield and farfield large-eddy simulation for oil transport from deep-water blowouts – a study of the effects of dispersant in the Deepwater Horizon accident (160673)
Marcelo Chamecki, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Bicheng Chen, Pennsylvania State University, Department of Meteorology, University Park, PA, United States, Di Yang, University of Houston, Department of Mechanical Engineering, Houston, TX, United States and Charles Vivant Meneveau, Johns Hopkins University, Department of Mechanical Engineering, Baltimore, United States
Linking Scales of Sediment Dynamics from Sand Grains to the Synoptic (187892)
Joe Calantoni1, Margaret Palmsten2, Allison Penko3, Donya P Frank-Gilchrist2 and Julian Simeonov2, (1)U.S. Naval Research Laboratory, Stennis Space Center, DC, United States, (2)U.S. Naval Research Laboratory, Stennis Space Center, MS, United States, (3)U.S. Naval Research Laboratory, Stennis Space Center, United States
Multi-scale Modeling of the Evolution of a Large-Scale Nourishment (154888)
Arjen Luijendijk, Delft University of Technology, Hydraulic Engineering, Delft, Netherlands and Bas Hoonhout, TU Delft, Delft, Netherlands
Tackling some of the most intricate geophysical challenges via high-performance computing (Invited) (119189)
Ali Khosronejad, Stony Brook University, Stony Brook, NY, United States
Large-eddy simulation of turbulent flow inside flexible vegetation canopies (159130)
Amir Razmi, Massachusetts Institute of Technology, Cambridge, MA, United States, Heidi Margaret Nepf, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States and Marcelo Chamecki, University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States
Wave- and Current-Supported Gravity Flows: Insights from Direct Numerical Simulations (DNS) (189965)
Celalettin E Ozdemir, Louisiana State University, Civil and Environmental Engineering, Baton Rouge, LA, United States

Particle Resolved Direct Numerical Simulation of Particle-Bed-Turbulence Interactions in Oscillatory Flows (187133)

Sourabh Apte and Chaitanya Ghodke, Oregon State University, School of Mechanical Industrial and Manufacturing Engineering, Corvallis, OR, United States

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