Dear Colleagues, 
 
We would like to draw your attention to the following session on Advances 
in Computational Geosciences (DI001 
<https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session26637>) at the 
upcoming AGU Fall Meeting 2017. 

As computation and the influx of digital data are becoming an integral part 
of our science from the surface to the core, please consider submitting an 
abstract to this session and share your results and/or numerical 
approaches! 

Abstracts are due by Wednesday, August 2. Session details are included 
below.

We look forward to seeing you in New Orleans this December,

Juliane Dannberg, Jed Brown and Marc Spiegelman


*DI001: Advances in Computational Geosciences *(ID #26637)
https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session26637
This session highlights advances in the theory and practice of 
computational geoscience, from improvements in numerical methods to their 
application to outstanding problems in the Earth sciences. Common issues 
include robust and efficient solvers, multiscale discretizations, design of 
benchmark problems and standards for comparison. Increasing data and 
computational power necessitates open source scientific libraries and 
workflow automation for model setup, 3D feature connectivity, and data 
assimilation, and automation in uncertainty representation and propagation, 
optimal design of field studies, risk quantification, and testing the 
predictive power of numerical simulations. By bringing these crosscutting 
computational activities together in one session, we hope to sharpen our 
collective understanding of fundamental challenges, level of rigor, and 
opportunities for reusable implementations. Contributions from all areas 
are welcome, including, but not limited to, fault modeling, tectonics, 
subduction, seismology, magma dynamics, mantle convection, the core, as 
well as surface processes, hydrology, and cryosphere. 

Invited Presenters:
Thomas Ulrich (Munich University) and Aaron Wolf (University of Michigan)

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