NP3.1 | Extreme variabililty across scales, from theory to applicationns
Extreme variabililty across scales, from theory to applicationns
Co-organized by HS13, co-sponsored by AGU and JpGU
Convener: Daniel Schertzer | Co-convener: Rui A. P. Perdigão

Geophysical and anthropogenic systems exhibit extreme variability over a wide range of spatio-temporal scales due to non-linear interactions between various processes. To capture these interactions, as well as the underlying non-trivial symmetries, information transfer between scales, causal effects and driving dynamics, the session focuses on the most recent theoretical, methodological and applied advances. This includes, but is not limited to, scaling, (multi-) fractals, complex networks, tipping points, predictability and uncertainty analysis, data mining, information theory, new computational techniques and systems intelligence.
Join an exciting session exploring and discussing promising avenues to shed light onto fundamental theoretical aspects in order to build innovative methodologies to address the real-world challenges facing our planet, in particular to develop scientifically sound responses to mitigate risks and build resilience.

Geophysical and anthropogenic systems exhibit extreme variability over a wide range of spatio-temporal scales due to non-linear interactions between various processes. To capture these interactions, as well as the underlying non-trivial symmetries, information transfer between scales, causal effects and driving dynamics, the session focuses on the most recent theoretical, methodological and applied advances. This includes, but is not limited to, scaling, (multi-) fractals, complex networks, tipping points, predictability and uncertainty analysis, data mining, information theory, new computational techniques and systems intelligence.
Join an exciting session exploring and discussing promising avenues to shed light onto fundamental theoretical aspects in order to build innovative methodologies to address the real-world challenges facing our planet, in particular to develop scientifically sound responses to mitigate risks and build resilience.