NG006
Extreme Variability and Complexity: from Theory to Modeling and Big Data, from Urban Systems to Climate and Pandemics

Session ID#: 160481

Session Description:
Geophysical and anthropogenic systems exhibit extreme variability over wide ranges of space-time scales due to nonlinear interactions between various processes. Capturing these interactions is of vital importance for understanding the dynamics of these complex systems. They lead to extreme events ranging from floods to pandemics and climate fluctuations. They naturally call for multiple scientifically-based responses to mitigate risk and build resilience.

This session focuses on recent advance in nonlinear methodologies (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 modeling of these complex systems and phenomena as well as the predictability of their projections.

Co-Organized:
  • H - Hydrology
Co-Sponsor(s):
  • AOGS: Asia Oceania Geosciences Society -
  • EGU: European Geosciences Union -
  • JpGU: Japan Geoscience Union -
Index Terms:

1899 General or miscellaneous [HYDROLOGY]
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:  Bjorn Birnir, UC Santa Barbara, Santa Barbara, CA, United States, Anastasios Tsonis, University of Wisconsin Milwaukee, Milwaukee, WI, United States and A. D. Kirwan Jr, University of Delaware, Newark, DE, United States
Student/Early Career Convener:  Ricardo Mantilla, University of Iowa, Iowa City, United States
 
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