Geophysical Fluid Dynamics: General
ORAL · T29 · ID: 22946
Presentations
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Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems
ORAL
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Publication: 1.Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving spatial transformers in a case study with ERA5, A Chattopadhyay, M Mustafa, P Hassanzadeh, E Bach, K Kashinath
Geoscientific Model Development Discussions, 1-23
2. Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems, A Chattopadhyay, E Nabizadeh, E Bach, P Hassanzadeh (in prep)Presenters
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Ashesh K Chattopadhyay
- Rice University
- Rice Univ
Authors
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Ashesh K Chattopadhyay
- Rice University
- Rice Univ
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Ebrahim Nabizadeh
- Rice University
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Eviatar Bach
- Laboratoire de Météorologie Dynamique
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Pedram Hassanzadeh
- Rice University
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On the structures of the ice-covered flows in a bend
ORAL
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Publication: On the impacts of ice cover on shear velocity distribution in a bend (Koyuncu, Le) (Planned Paper)
The impacts of ice coverage on large-scale structures of turbulent flows in a river bend (Le, Koyuncu) (Planned Paper)Presenters
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Berkay Koyuncu
- North Dakota State University
Authors
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Berkay Koyuncu
- North Dakota State University
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Trung B Le
- North Dakota State University
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Large Eddy Simulation of ice-covered flows in a river bend
ORAL
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Publication: Large Eddy Simulation of ice-covered flows in a river bend (submitted to Water Resources Research)
Presenters
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Trung Le
Authors
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Trung Le
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Berkay Koyuncu
- North Dakota State University
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A field and numerical study exploring uncertainty in high-fidelity modeling of riverine flows
ORAL
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Publication: Journal of Hydraulic Engineering - submitted manuscript
Presenters
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Kevin Flora
- Stony Brook University (SUNY)
Authors
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Kevin Flora
- Stony Brook University (SUNY)
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Ali Khosronejad
- Stony Brook University
- State Univ of NY - Stony Brook
- Stony Brook University (SUNY)
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Realistic Wind Data Generation for Small Unmanned Air Systems in Urban Environment using Convolutional Autoencoders
ORAL
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Presenters
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Rohit Kameshwara Sampath Sai Vuppala
- Oklahoma State University-Stillwater
Authors
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Rohit Kameshwara Sampath Sai Vuppala
- Oklahoma State University-Stillwater
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Kursat Kara
- Oklahoma State University-Stillwater
- Oklahoma State University
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Data-driven modeling of non-local mixing phenomena in geophysical flows
ORAL
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Presenters
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Jinlong Wu
- California Institute of Technology
Authors
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Jinlong Wu
- California Institute of Technology
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Daniel Z Huang
- California Institute of Technology
- Caltech
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Zhaoyi Shen
- California Institute of Technology
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Tapio Schneider
- California Institute of Technology
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Andrew Stuart
- California Institute of Technology
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AMR-Wind: Adaptive mesh-refinement for atmospheric-boundary-layer wind energy simulations
ORAL
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Presenters
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Michael J Brazell
- National Renewable Energy Laboratory
- National Renewable Energy Laboratory (NREL)
Authors
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Michael J Brazell
- National Renewable Energy Laboratory
- National Renewable Energy Laboratory (NREL)
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Shreyas Ananthan
- Siemens Gamesa Renewable Energy Digital Ventures Lab
- Siemens Gamesa Renewable Energy - Digital Ventures Lab
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Ganesh Vijayakumar
- National Renewable Energy Laboratory
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Lawrence Cheung
- Sandia National Laboratory
- Sandia National Laboratories
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Michael A Sprague
- National Renewable Energy Laboratory
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Simulating general flows in curvilinear domains with Dedalus
ORAL
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Presenters
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Keaton Burns
- Massachusetts Institute of Technology MI
Authors
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Keaton Burns
- Massachusetts Institute of Technology MI
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Geoffrey Vasil
- Univ of Sydney
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Daniel Lecoanet
- Northwestern University
- Northwestern
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Jeff S Oishi
- Bates College
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Benjamin P Brown
- University of Colorado, Boulder
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Turbulent structure of subcritical and supercritical gravity and turbidity currents
ORAL
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Publication: Salinas, J., Balachandar, Cantero, M., Control of turbulent transport in supercritical currents by three
families of hairpin vortices. Physical Review: Fluids. 2021, 6, 063801.Presenters
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Jorge Salinas
- University of Florida
Authors
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Jorge Salinas
- University of Florida
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S Balachandar
- University of Florida
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Mariano I Cantero
- Instituto Balseiro
- Instituto Balseiro, Universidad Nacional de Cuyo, Consejo Nacional de Investigaciones Cientificas y Tecnicas, Argentina
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Regime transition in subcritical and supercritical currents
ORAL
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Presenters
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Jorge Salinas
- University of Florida
Authors
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Jorge Salinas
- University of Florida
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S Balachandar
- University of Florida
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Mariano I Cantero
- Instituto Balseiro
- Instituto Balseiro, Universidad Nacional de Cuyo, Consejo Nacional de Investigaciones Cientificas y Tecnicas, Argentina
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Deep learning for surrogate modelling of 2D mantle convection
ORAL
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Publication: S. Agarwal, N. Tosi, P. Kessel, D. Breuer, and G. Montavon (2021). Deep learning for surrogate modelling of 2D mantle convection. Submitted to Physical Review Fluids.
Presenters
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Siddhant Agarwal
- German Aerospace Center (DLR), Berlin Institute of Technology
Authors
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Siddhant Agarwal
- German Aerospace Center (DLR), Berlin Institute of Technology
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Nicola Tosi
- German Aerospace Center (DLR)
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Pan Kessel
- Berlin Institute of Technology
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Doris Breuer
- German Aerospace Center (DLR)
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Grégoire Montavon
- Berlin Institute of Technology
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Experimental study on the flow behavior of a finite dense fluid release at upstream from cubic building face for different Richardson numbers
ORAL
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Presenters
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Romana Akhter
- Clemson University
Authors
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Romana Akhter
- Clemson University
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Nigel B Kaye
- Clemson University
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