NG007
Extreme Variability, Scales and Complexity: from Theory to Computational Techniques, from Urban Systems to Climate and Pandemics
Session ID#: 252317
Session Description:
Geophysical and man-made systems exhibit extreme variability over wide ranges of space-time scales due to nonlinear interactions between scales and various processes.These interactions are of vital importance for understanding the dynamics of these complex systems. They lead to extreme events ranging from floods to pandemics and climate fluctuations.This session focuses on recent advances in nonlinear techniques (e.g., scaling, (multi-) fractals, complex networks, tipping points and new computational techniques) to uncover the underlying, non-trivial symmetries, information transfer across scales, causal effects and driving forces as well as their applications to data analysis and modelling of these complex systems as well as their predictability. Overall, this session aims to highlight fundamental theoretical aspects in order to build innovative methodologies to address the real-world challenges facing our planet, and to develop scientifically sound responses to mitigate risks and build resilience.
Co-Sponsor(s):
Index Terms:
4415 Cascades [NONLINEAR GEOPHYSICS]
4430 Complex systems [NONLINEAR GEOPHYSICS]
4440 Fractals and multifractals [NONLINEAR GEOPHYSICS]
4475 Scaling: spatial and temporal [NONLINEAR GEOPHYSICS]
Primary Convener: Daniel J M Schertzer, Ecole Nationale des Ponts et Chaussées, Hydrologie Météorologie et Complexité (HM&Co), Champs-sur-Marne, France
Conveners: Anastasios Tsonis, University of Wisconsin-Milwaukee, Milwaukee, United States, Shaun Lovejoy, McGill Univ, Montreal, QC, Canada and George Sugihara, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States
Multifractals and Artificial Intelligence (1896618)
Daniel J M Schertzer, Ecole Nationale des Ponts et Chaussées | Institut Polytechnique de Paris, Hydrology Meteorology and Complexity (HM&Co), Champs-sur-Marne, France, Hai Zhou, Ecole Nationale des Ponts et Chaussées | Institut Polytechnique de Paris, Hydrology Météorology and Complexity (HM&Co), Champs sur Marne, France and Ioulia Tchiguirinskaia, Ecole Nationale des Ponts et Chaussées | Institut Polytechnique de Paris, Hydrologie Météorologie et Complexité (HM&Co), Champs-sur-Marne, France
Physically Grounded Origins of Precipitation Intermittency Beyond Universal Cascades (1907635)
Santa Andria1,2, Enrico Zorzetto3, Gabriel George Katul2 and Marco Marani1, (1)University of Padova, Department of Civil, Environmental and Architectural Engineering, Padova, Italy, (2)Duke University, Department of Civil and Environmental Engineering, Durham, United States, (3)New Mexico Institute of Mining and Technology, Earth and Environmental Science Department, Socorro, NM, United States
Resilient-by-Intermittency Principle (1909186)
Ioulia Tchiguirinskaia, Ecole Nationale des Ponts et Chaussées | Institut Polytechnique de Paris, Hydrologie Météorologie et Complexité (HM&Co), Champs-sur-Marne, France, Daniel J M Schertzer, Ecole Nationale des Ponts et Chaussées | Institut Polytechnique de Paris, Hydrology Meteorology and Complexity (HM&Co), Champs-sur-Marne, France and Guillaume Drouen, Ecole nationale des ponts et chaussées | Institut Polytechnique de Paris, Hydrology Meteorology and Complexity (HM&Co), Champs-sur-Marne, France
Correcting Boundary Bias in Climate Networks: A Comparative Evaluation of Surrogate-Based Methods (1930554)
Dr. Behzad Ghanbarian1, Victor Oladoja2, Kehinde Bosikun2, Tayeb Jamali3 and Juergen Kurths4, (1)University of Texas at Arlington, Arlington, TX, United States, (2)Kansas State University, Manhattan, KS, United States, (3)Kansas State University, Geology, Manhattan, KS, United States, (4)Potsdam Institute for Climate Impact Research, Potsdam, Germany
Self-Affine Scaling of Earth’s Islands (1978652)
Matthew Oline, University of Chicago, Computational and Applied Mathematics, Chicago, United States, B. B. Cael, University of Chicago, Department of the Geophysical Sciences, Chicago, United States; University of Chicago, Climate Systems Engineering initiative, Chicago, United States, Mary Silber, University of Chicago, Committee on Computational and Applied Mathematics, and Department of Statistics, Chicago, IL, United States and Jeremy Hoskins, University of Chicago, Committee on Computational and Applied Mathematics, Chicago, United States
