Geological and geophysical data sets are in essence the output of physical processes governing the Earth’s evolution. Such data sets are widely varied and range from the internal structure of the Earth (e.g. seismic tomography), plate kinematics (e.g. GPS), composition of geomaterials (e.g. petrography), estimation of physical conditions and dating of key geological events (e.g. thermobarometry), thermal state of the Earth (e.g heat-flow measurements) to more shallow processes such as natural and “engineered” reservoir dynamics and waste sequestration in the subsurface (e.g. seismic imaging).

Combining the abundant data to process-based numerical models fosters our understanding of the dynamical Earth. Process-based models are powerful tools to predict the evolution of complex natural systems resolving the feedbacks among various physical processes. Integrating high-quality data into direct numerical simulations leads to a constructive workflow to further constrain the key parameters within the models. Innovative inversion strategies, linking forward dynamic models with observables, are topics triggering a growing interest within the community.

The complexity of geological systems arises from their multi-physics nature, as they combine hydrological, thermal, chemical and mechanical. Multi-physics couplings are prone to nonlinear interactions ultimately leading to spontaneous localisation of flow and deformation. Understanding the couplings among those processes requires the development of appropriate tools to capture spontaneous localisation and represents a challenging though essential research direction.

We invite contributions from the following two complementary themes:

#1 Computational advances associated with
- alternative spatial and/or temporal discretisation for existing forward/inverse models
- scalable HPC implementations of new and existing methodologies (GPUs / multi-core)
- solver and preconditioner developments
- AI / Machine learning-based approaches
- code and methodology comparisons (“benchmarks”)
- open source implementations for the community

#2 Physics advances associated with
- development of partial differential equations to describe geological processes
- inversion strategies and adjoint-based modelling
- numerical model validation through comparison with observables (data)
- scientific discovery enabled by 2D and 3D modelling
- utilisation of coupled models to explore nonlinear interactions

The distinction of a fluctuation from a long-term change in Earth processes is a key question in the assessment of the Earth's Climate change and in general geo- risk assessment. The distinction of a fluctuation from a steady change requires knowledge on the time variability of the signal and long term observations. Due to the decadal variability of sea level, reliable sea level trends can only be obtained after about sixty years of continuous observations. Reliable strain rates of deformation require a minimum of a decade of continuous data, due to the ambient factors leading to fluctuations. The session invites contributions that demonstrate the importance of long term geophysical, geodynamic, oceanographic and climate observatories. Advances in sensors, instrumentation, data analyses, and interpretations of the data are welcome, with the aim to stimulate a multidisciplinary discussion among those dedicated to the accumulation, preservation and dissemination of data over decadal time scales or beyond. With this session, we also would like to provide an opportunity to gather for representatives from observatories in Europe and also world-wide.

Geologic processes are generally too slow, too rare, or too deep to be observed in-situ and to be monitored with a resolution high enough to understand their dynamics. Analogue experiments and numerical simulation have thus become an integral part of the Earth explorer's toolbox to select, formulate, and test hypotheses on the origin and evolution of geological phenomena.

To foster synergy between the rather independently evolving experimentalists and modellers we provide a multi-disciplinary platform to discuss research on tectonics, structural geology, rock mechanics, geodynamics, volcanology, geomorphology, and sedimentology.

We therefore invite contributions demonstrating the state-of-the-art in analogue and numerical / analytical modelling on a variety of spatial and temporal scales, varying from earthquakes, landslides and volcanic eruptions to sedimentary processes, plate tectonics and landscape evolution. We especially welcome those presentations that discuss model strengths and weaknesses, challenge the existing limits, or compare/combine the different modelling techniques to realistically simulate and better understand the Earth's behaviour.

Public information:
TS10.3/GD10.5/GM9.6
Analogue and numerical modelling of tectonic processes

By: Frank Zwaan, Fabio Corbi, Ágnes Király, Valentina Magni, Michael Rudolf
Link: https://meetingorganizer.copernicus.org/EGU2020/session/34918
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Dear participants of EGU session TS10.3 on modelling of tectonic processes,

We will start the discussion at 10:45 CET on Monday 4 May, and it will last until 12:30 CET, although the chat will remain active for 30 min more.

This is how we plan to carry on the session:

• Every contribution will get about 5-10 minutes of discussion
• The conveners will introduce the contribution (title, authors,..)
• The presenting authors will give a short summary/introduction (2-3 sentences) of their work (@ authors, please prepare these in advance to ensure a smooth transition).
• Discussion with participants


If time permits, we will have a more general discussion after all contributions have been presented.

Here’s the order of the presentations:

• Withers & Cruden
• Hughes et al.
• Noguera & Marques
• Schöfish et al.
• Mannu et al.
• Maestrelli et al.
• Avila-Paez et al.
• Wang et al.
• Saha et al.
• Henriquet et al.
• Jiménez-Bonilla et al.

We are looking forward to meeting you in the session chat box!

All areas in the Earth sciences face the same problem of dealing with larger and more complex data sets that need to be analyzed, visualized and understood. Depending on the application domain and the specific scientific questions to be solved, different visualization strategies and techniques have to be applied. Yet, how we communicate those complex data sets, and the effect that visualization strategies and choices have on different (expert and non-expert) audiences as well as decision-makers remains an under-researched area of interest. For this "PICO only" session, we not only invite submissions that demonstrate how to create effective and efficient visualizations for complex and large earth science data sets but also those that discuss possibilities and challenges we face in the communication and tailoring of such complex data to different users/ audiences. Submissions are encouraged from all geoscientific areas that either show best practices or state of the art in earth science data visualization or demonstrate efficient techniques that allow an intuitive interaction with large data sets. In addition, we would like to encourage studies that integrate thematic and methodological insights from fields such as for example risk communication more effectively into the visualization of complex data. Presentations will be given as PICO (Presenting Interactive COntent) on large interactive touch screens. This session is supported by ESiWACE2. ESiWACE2 has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 823988.

Data science, analytics and visualization technologies and methods emerge as significant capabilities for extracting insight from the ever growing volume and complexity of scientific data. The rapid advancement of these capabilities no doubt helps address a number of challenges and present new opportunities in improving Earth and Space science data usability. This session will highlight and discuss the novelty and strength of these emerging fields and technologies of these components, and their trends. We invite papers and presentations to examine and share the experience of:
- What benefits they offer to Earth and Space Science
- What science research challenges they address
- How they help transform science data into information and knowledge
- In what ways they can advance scientific research
- What lessons were learned in the development and infusion of these methods and technologies

This session aims to bring together researchers working with big data sets generated from monitoring networks, extensive observational campaigns and detailed modeling efforts across various fields of geosciences. Topics of this session will include the identification and handling of specific problems arising from the need to analyze such large-scale data sets, together with methodological approaches towards semi or fully automated inference of relevant patterns in time and space aided by computer science-inspired techniques. Among others, this session shall address approaches from the following fields:
• Dimensionality and complexity of big data sets
• Data mining in Earth sciences
• Machine learning, deep learning and Artificial Intelligence applications in geosciences
• Visualization and visual analytics of big and high-dimensional data
• Informatics and data science
• Emerging big data paradigms, such as datacubes

The WEGENER initiative was started in 1981 with the aim of creating an interdisciplinary forum supporting geodynamic studies by means of space and terrestrial geodetic techniques. Therefore, WEGENER promotes the establishment of a consistent framework leading from data acquisition, to data analysis, modeling and interpretation of the results. These activities provide key information to a broad range of phenomena that have critical implications for society, particularly in the field of natural hazards and climate change using techniques such as GNSS, InSAR, LiDAR, space/air/terrestrial gravimetry and ground-based geodetic observations.
In this session, we seek contributions that improve our understanding of geodynamical processes and crustal deformations at the local-to-global scale by means of geodetic techniques and innovative modeling approaches. Contributions showing the benefit of integrating geodetic and complementary geophysical, hydrological, geological, oceanographical and climatological information are also welcome. Relevant submissions may focus on the earthquake cycle, volcanic processes, sea-level changes, fluid redistributions and near surface motions such as landslides and subsidence. We also encourage contributions discussing the realization and outcomes of Supersites in the frame of the GEO initiative, as well as reports of the establishment of new geodetic networks in tectonically active areas.
Among other activities, the WEGENER will contribute to the joint IAG-IASPEI sub-commission on Seismo-Geodesy.

Gravity and magnetic field data contribute to a wide range of geo-scientific research, from imaging the structure of the earth and geodynamic processes (e.g. mass transport phenomena or deformation processes) to near surface investigations. The session is dedicated to contributions related to spatial and temporal variations of the Earth gravity and magnetic field at all scales. Contributions to modern potential field research are welcome, including instrumental issues, data processing techniques, interpretation methods, innovative applications of the results and data collected by modern satellite missions (e.g. GOCE, GRACE, Swarm), potential theory, as well as case histories.

Innovative forward and inverse modeling techniques, advances in numerical solvers and the ever-increasing power of high-performance compute clusters have driven recent developments in inverting seismic and other geophysical data to reveal properties of the Earth at all scales.

The interpretation of single disciplinary geophysical field data often allows for various, equally probable models that may not always sufficiently discern plausible hypotheses that are challenged. Therefore, co-validation of data from different disciplines is critical.

This session provides a forum to present, discuss and learn the state-of-the-art in computational seismology, non-linear and joint inversion, uncertainty quantification and collaborative interpretation.

Invited Speakers:
Christel Tiberi, "Joint inversion and collaborative interpretations in complex geodynamical context";
Andrew Curtis, "Variational Probabilistic Tomography";
Yann Capdeville, "Intrinsic non-uniqueness of the acoustic full waveform inverse problem"