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DTSTART;TZID=Europe/Stockholm:20220628T110000
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UID:submissions.pasc-conference.org_PASC22_sess148@linklings.com
SUMMARY:MS3D - Looking into the Earth: Modelling, Inversion and Uncertaint
 y Quantification in Computational Geophysics (Part II)
DESCRIPTION:Minisymposium\n\nThe central goal of computational geophysics 
 is to infer physical properties of the Earth's interior, inaccessible for 
 direct measurements (such as density or wave velocity), from data typicall
 y acquired near the surface with appropriate instruments. Inversion techni
 ques are applied to infer unknown parameters of a mathematical model to fi
 t the observed data. The resulting model provides a view of the current ph
 ysical state and can be used to simulate previous and future states. Such 
 models lead to complicated nonlinear numerical systems, which are usually 
 too large for standard computers. Luckily, HPC facilities' ever-increasing
  power allows continuous model resolution and complexity growth. Neverthel
 ess, harnessing this power brings new challenges for implementations. Desp
 ite the success of deterministic inversion methods, nonuniqueness and nonl
 inearity of the inverse problems can reduce the meaningfulness of the solu
 tions. Bayesian inference represents an attractive tool to overcome these 
 issues and provide uncertainty quantification. However, it brings another 
 level of complexity that needs to be re-assessed in light of the recent ad
 vances in methodology and technologies. This three-sessions minisymposium 
 aims to bring together scientists engaged in theory, numerical methods, al
 gorithms, and scientific software engineering for scalable numerical model
 ling, inversion and uncertainty quantification in computational geophysics
 .\n\nAlgorithm and Implementation Optimisation of a New Internal Multiple 
 Removal Method\n\nThorbecke, Zhang, Wapenaar, Slob\n\nThe Marchenko method
  can remove internal multiples from seismic data without any prior knowled
 ge. This method is computational intensive. Optimisation of the implementa
 tion, together with changes in the algorithm and use of the method, makes 
 it computationally feasible. We briefly introduce the prob...\n\n---------
 ------------\nHPC for Numerical Modeling in Geo-Electromagnetics: Advances
  and Challenges\n\nCastillo Reyes\n\nModeling/inversion of 3D electromagne
 tic (EM) datasets using novel mathematical schemes and massively parallel 
 architectures have a fundamental role in solving the next generation of ge
 oscience problems. In real-life setups, these problems are complex and com
 putationally expensive. A multidisciplina...\n\n---------------------\nNum
 erical Modeling of Earthquake Ground Motion for Seismic Risk Assessment\n\
 nAntonietti\n\nPhysics-based numerical simulations of earthquake ground mo
 tion can be used to better understand the physics of earthquakes, improve 
 the design of site-specific structures, and evaluate the seismic hazard, a
  key step for the reliable assessment of seismic risk. In this talk we pre
 sent an overview on...\n\n---------------------\nHow on Earth Would a Moon
 quake Sound?\n\nPeter, Yang\n\nProbing the interior of our planet through 
 seismic observations has led to many great insights and knowledge about in
 ternal structures and processes. It has been such a successful endeavor, t
 hat seismic investigations not only were carried out on Earth, but have be
 en extended on to other planetary b...\n\n\nDomain: Climate, Weather and E
 arth Sciences, Computer Science and Applied Mathematics, Physics
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