Scientific Program

Session 1: Earth system modeling

Conveners
Andrei Demekhov (Institute of Applied Physics RAS, Russia)
Valentin Dymnikov (Institute of Numerical Mathematics RAS, Russia)
Eugene Rozanov (Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland)

Developed as evolution of the coupled atmosphere-ocean climate models, the Earth system models (ESMs) describe the dynamics of the Earth’s atmosphere, ocean, sea ice, land surface, biosphere, and chemical atmospheric processes and provide the state-of-the-art for analyzing and predicting the state of this complex system. The modern trend is to extend the range of phenomena covered by ESMs as much as possible to describe all relevant physical, chemical and biological processes. This session will accommodate a wide range of studies devoted to the modeling the Earth system as a whole as well as its interacting components. In particular, we welcome contributions dealing with:
  • 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

Conveners
Juergen Kurths (Potsdam Institute for Climate Impact Research, Germany)
Colin Price (Tel Aviv University, Israel)

The aim of the Session is bringing together scientists that develop different approaches forwarded to the study of extreme events in weather and climate. The submissions that are focused on the practically significant applications (e.g. severe storms and lightning) are especially welcome. The main themes of the session are the following:
  • Complex networks approach.
  • First principle modeling.
  • Data-driven methods.
  • Severe storms and lightning.

Session 3: Global climate variability at different time scales

Conveners
Henrik Dijkstra (Utrecht University, The Netherlands)
Alexander Feigin (Institute of Applied Physics RAS, Russia)

The Session aims at investigation of the complex interactions between the different components of the climate system in order to understand how Earth climate system operates at Milankovitch as well as at millennial and centennial time-scales and how it operates in the modern era. The main themes of the session are the following:
  • Modern climate modeling and prediction.
  • From centennial to millennial scales.
  • Climate variability in the Quaternary period.

Session 4: Mathematics of geophysical flows

Conveners
Andrey Gritsun (Institute of Numerical Mathematics RAS, Russia)
Valerio Lucarini (University of Reading, UK)

Research lying at the intersection between mathematics and geoscience has been gaining more and more prominence in recent years, as exemplified by the worldwide Year of Mathematics for Planet Earth 2013 (www.mpe2013.org). The synergy between mathematics and geosciences is exemplified by the scientific relevance of research areas like chaos theory, and fractals, which developed from such an interaction. More recently, exchanges between mathematics, and geosciences has led to important advances in research areas such as geometrical mechanics, optimal transport theory, coarse graining and model reduction techniques, fluid dynamics, nonequilibrium statistical mechanics, data assimilation, extreme events, response theory, and large deviations theory.
The session "Mathematics of geophysical flows” aims at exploring these interdisciplinary research areas at the interface between mathematics, and geophysical fluid dynamics. We invite submission of contributions dealing with basic theoretical studies, numerical investigations, as well as data analysis. The main themes of the session are the following:
  • 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

Conveners
Nikolai Shapiro (Laboratoire de Sismologie, Institut de Physique du Globe de Paris, France)

The session will discuss advances in analysis of continuous seismic records used to get information about the structure and processes in the Solid Earth and about its coupling to the Oceans and the Atmosphere. The considered topics include passive seismic interferometry and its application for the Earth’s imaging and monitoring, new methods for detection and classification of weak seismic sources such as small earthquakes and tremors, and origin of the ambient seismic noise. Contributions presenting observations, theory, and methods are welcomed. In particular, we welcome contributions dealing with:
  • 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

Conveners
Yehuda Ben-Zion (University of Southern California, USA)

This session will discuss advances in earthquake and fault dynamics that provide improved quantitative understanding of faulting phenomena in brittle materials. Key topics include localization of deformation and related transitions from ongoing small failure events to large earthquakes, relations between properties of fault zones, different modes of slip and spatio-temporal seismicity patterns, and improved estimates of regional and local seismic hazard. Presentations based on theory, experiments and observations are welcomed. In particular, we welcome contributions dealing with:
  • 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

Conveners
Ana Ferreira (University College London)
Heiner Igel (Munich University, Germany)

Computational methods in both seismology and geodynamics continue to develop into central tools to analyze data, to build new structural models, understand earthquakes and the long-term evolution of the internal structure due to mantle convection. We invite contributions to any new developments in simulating seismic wavefields or mantle convection in the light of upcoming exascale facilities, new strategies in assessing the uncertainties of tomographic models and innovative methodologies (e.g., deep learning) for data analysis. In addition, we welcome efforts quantitatively combining distinct types of data and modeling across different scales and disciplines. In particular, we welcome contributions dealing with:
  • 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: Mathematical modeling and Statistical Learning in Geosciences

Conveners
Ishanu Chattopadhyay (University of Chicago, USA)
Nikolay Iakovlev (Institute of Numerical Mathematics RAS, Russia)
Sai Ravela (MIT, USA)

Application of Machine Learning and Inference in the Geosciences presents multiple uniquely interesting and challenging issues. The session will focus on the leveraging big data; explore the situations when the dimensionality is high but the data is sparse; examine learning's role in characterization, prediction and predictability, abstraction and reduction, inverse problems and data assimilation, downscaling, parameterization and a number of related topics that have classically challenged the Geosciences. We will also go further looking at approaches to pattern discovery and inferring causal interactions between geophysical processes. New and recent results in statistical learning theory, as well as ongoing work, that address the broad problems described above is also of interest. In particular, we welcome contributions dealing with:
  • 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.