Session 1: Earth system modeling
Peter Cox (Exeter University, UK)
Valentin Dymnikov (Institute of Numerical Mathematics RAS, Russia)
- Earth system dynamics.
- Mathematical modeling of the Earth’s upper atmosphere, ionosphere and magnetosphere.
- Global electric circuit.
- Atmospheric photochemistry: modeling, data assimilation, climate-chemistry interactions.
Session 2: Modeling and prediction of geophysical extremes
Juergen Kurths (Potsdam Institute for Climate Impact Research, Germany)
Colin Price (Tel Aviv University, Israel)
- Complex networks approach.
- First principle modeling.
- Data-driven methods.
- Severe storms and lightning.
Session 3: Global climate variability at different time scales
Henrik Dijkstra (Utrecht University, The Netherlands)
Alexander Feigin (Institute of Applied Physics RAS, Russia)
- Modern climate modeling and prediction.
- From centennial to millennial scales.
- Climate variability in the Quaternary period.
Session 4: Mathematics of geophysical flows
Andrey Gritsun (Institute of Numerical Mathematics RAS, Russia)
Valerio Lucarini (University of Reading, UK)
- Mathematical problems behind the numerical modeling of the atmosphere and ocean.
- Instabilities, fluctuations and predictability of turbulent flows.
- Variability, sensitivity and response properties of geophysical systems.
Session 5: Advances in analysis of continuous seismic and acoustic wavefields
Nikolai Shapiro (Laboratoire de Sismologie, Institut de Physique du Globe de Paris, France)
- Noise-based seismic interferometry (imaging and monitoring).
- Physics of the ambient seismic/acoustic noise.
- Data mining: massive detection and classification of seismic sources.
Session 6: Dynamics of earthquakes and faults
Yehuda Ben-Zion (University of Southern California, USA)
- Advances in analysis of seismic hazard and forecasting.
- Localization of brittle deformation (physics and observations).
- Spatio-temporal seismicity patterns (extent of universality, fault/region specific results).
Session 7: Computational Seismology and Geodynamics
Heiner Igel (Munich University, Germany)
Ana Ferreira (University College London)
- On the road to Exascale: Strategies for computational seismology and geodynamics.
- Is this blob real? How to get at uncertainties in imaging and beyond?
- Perspectives on multi-physics analyses of processes in the Earth’s interior.
Session 8: Statistical Learning in Geosciences
Sai Ravela (MIT, USA)
Ishanu Chattopadhyay (University of Chicago, USA)
- Exploring the role of automated inference and learning in geosciences. How is ML different from other computational approaches?
- Specialized learning algorithms for leveraging big data in geosciences, and exploring the limits of event prediction capability.
- Using ML for characterization, prediction, abstraction, parameterization and deriving optimal solutions to decision problems.
- Automated pattern discovery in seismic and other geospatial event logs.
- Inferring causal interactions between geophysical processes.