NG32A:
Nonlinear Statistical, Mathematical, and Computational Physics in Complex System Science: Theoretical Advances and Geophysical Applications I


Submit an Abstract to this Session


Session ID#: 57875

Session Description:
This session focuses on theoretical and applied studies in nonlinear statistical, mathematical and computational physics approaches to address complex system science problems, with special emphasis on geophysical and broader earth system phenomena where nonlinear processes play a key role. The methodological focus is aimed at deepening the physical understanding and strengthening the ability to model nonlinear geophysical processes and assess their dynamic predictability and uncertainty, while also paving the way for applications to other fields. The session spans research on dynamic coevolution among multiple earth system processes; eliciting regimes, transitions and extremes in complex geophysical phenomena; peering into core problems in fluid and plasma turbulence; unveiling hidden predictability in intricate geophysical complexity. For that purpose, developments range from stochastic-dynamic, information-theoretic and machine learning approaches to far-from-equilibrium statistical mechanics, evolutionary agent-based modelling and exascale computing - from fundamental formulation and algorithmic considerations to operational design and implementation to address real-world problems.
Primary Convener:  Rui A.P. Perdigão, Meteoceanics Institute for Complex System Science, North Atlantic Climate Centre, Lisbon, Portugal; Universidade de Lisboa, Instituto de Telecomunicações & CeFEMA, Instituto Superior Técnico, Lisbon, Portugal
Conveners:  Julia Hall, Vienna University of Technology (TU Wien), Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria, Daniel Perry Lathrop, Univ of Maryland, College Park, United States and Bryan T. Flynt, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Primary Liaison:  Rui A.P. Perdigão, Universidade de Lisboa, Instituto de Telecomunicações & CeFEMA, Instituto Superior Técnico, Lisbon, Portugal; Meteoceanics Institute for Complex System Science, North Atlantic Climate Centre, Lisbon, Portugal
Chairs:  Rui A.P. Perdigão, Universidade de Lisboa, Instituto de Telecomunicações & CeFEMA, Instituto Superior Técnico, Lisbon, Portugal; Meteoceanics Institute for Complex System Science, North Atlantic Climate Centre, Lisbon, Portugal, Daniel Perry Lathrop, Univ of Maryland, College Park, United States, Duane L. Rosenberg, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, United States and Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States
OSPA Liaison:  Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • DI - Study of the Earth's Deep Interior
  • H - Hydrology
  • IN - Earth and Space Science Informatics
Index Terms:

0545 Modeling [COMPUTATIONAL GEOPHYSICS]
1942 Machine learning [INFORMATICS]
4430 Complex systems [NONLINEAR GEOPHYSICS]
4490 Turbulence [NONLINEAR GEOPHYSICS]

Abstracts Submitted to this Session:

Can Fluctuations be Both Small-Amplitude and Strongly Nonlinear? Yes: Reduced MHD as an Example (Invited) (400358)
Sean Oughton, University of Waikato, Department of Mathematics, Hamilton, New Zealand
Local Ensemble Transform Kalman Filtering Implemented on 2D and 3D Dynamo Flows (392521)
Sarah Cassie Cassie Burnett, University of Maryland College Park, Department of Mathematics, College Park, MD, United States, Nathanaël Schaeffer, ISTerre, Université Grenoble Alpes, CNRS, Grenoble, France, Kayo Ide, University of Maryland, College Park, MD, United States and Daniel Perry Lathrop, Univ of Maryland, College Park, United States
Contact phase-field modeling for geomaterials, a questioning on far-from-equilibrium dynamic processes based on contact thermodynamics and the maximum dissipation principle (357980)
Alexandre Guevel, Duke University, Civil and Environmental Engineering, Durham, NC, United States and Manolis Veveakis, Duke University, Civil and Environmental Engineering, Durham, United States
Reservoir Computing: a Machine Learning Approach to Forecasting (420635)
Brian Hunt, University of Maryland College Park, College Park, MD, United States
Massive Computations in 3D Turbulent Flow: Science Goals and an Asynchronous GPU Algorithm Towards the Exascale (454449)
Pui Kuen Yeung, Georgia Institute of Technology Main Campus, Atlanta, GA, United States, Kiran Ravikumar, Georgia Institute of Technology Main Campus, Atlanta, United States and David Appelhans, IBM Research, Boulder, United States
Exascale Considerations for Simulation of Turbulence (461519)
Paul Fischer, Organization Not Listed, Washington, DC, United States

See more of: Nonlinear Geophysics