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LOCATION:Singapore Room
DTSTART;TZID=Europe/Stockholm:20220628T163000
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UID:submissions.pasc-conference.org_PASC22_sess149@linklings.com
SUMMARY:MS4D - Looking into the Earth: Modelling, Inversion and Uncertaint
 y Quantification in Computational Geophysics (Part III)
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\nMonte Carlo Methods and Large-Scale Inverse Problems in Geophysics\n\
 nMosegaard\n\nIn inverse problems, physical measurements are used to infer
  information about unknown structure of physical systems. A probabilistic 
 formulation of the inverse problem allows us, in principle, to answer any 
 probabilistic question about the system if all information about noise, ph
 ysical relations, ...\n\n---------------------\nTowards a Global Mantle At
 tenuation Model Based on Full-Waveform Inversion\n\nBozdag, Orsvuran, Espi
 ndola Carmona, Peter\n\nAttenuation, a measure of the energy loss of seism
 ic waves, is an essential parameter to detect partial melt, water content,
  and thermal variations in the mantle. However, there is no consensus on t
 he 1D or 3D anelastic structure, which is also crucial to further improve 
 the resolution of elastic mo...\n\n---------------------\nUsing Full-Wavef
 orm Inversion (FWI) to Decipher Southeast Asia’s Tectonics\n\nWehner, Rawl
 inson\n\nSeismic tomography has played a crucial role in the illumination 
 of deep Earth structure since the first pioneering studies of the mid 1970
 s. A wide range of tomographic methods now exist, but these are mostly bas
 ed on seismic ray theory and hence do not fully account for the true physi
 cs of wave pr...\n\n---------------------\nGradient-Accelerated Bayesian I
 nference for Non-Linear Uncertainty Quantification of High-Dimensional Mod
 els\n\nGebraad, Zunino, Fichtner\n\nWe discuss current state-of-the-art me
 thods to update the knowledge on the Earth, integrating prior beliefs with
  various data to answer questions about the subsurface. By integrating mod
 ern waveform modelling techniques and gradient-based sampling we are able 
 to push the bounds of of geophysical kno...\n\n\nDomain: Climate, Weather 
 and Earth Sciences, Computer Science and Applied Mathematics, Physics
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