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Greenhouse gas observation network design for Africa
Tellus: Series B, Chemical and Physical Meteorology, 2020 An optimal network design was carried out to prioritise the installation or refurbishment of greenhouse gas (GHG) monitoring stations around Africa. The network was optimised to reduce the uncertainty in emissions across three of the most important GHGs:
Alecia Nickless +11 more
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Atmospheric Chemistry and Physics, 2021 . Cities represent a large and concentrated portion of global greenhouse gas emissions, including methane. Quantifying methane emissions from urban areas is difficult, and inventories made using bottom-up accounting methods often differ greatly from top ...
T. Jones +14 more
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Comparison of deterministic and stochastic approaches to crosshole seismic travel-time inversions
Earth and Planetary Physics, 2019 The Bayesian inversion method is a stochastic approach based on the Bayesian theory. With the development of sampling algorithms and computer technologies, the Bayesian inversion method has been widely used in geophysical inversion problems.
YanZhe Zhao, YanBin Wang
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Hierarchical Bayesian level set inversion [PDF]
Statistics and Computing, 2016 The level set approach has proven widely successful in the study of inverse problems for interfaces, since its systematic development in the 1990s. Recently it has been employed in the context of Bayesian inversion, allowing for the quantification of uncertainty within the reconstruction of interfaces. However the Bayesian approach is very sensitive to
Matthew M. Dunlop +2 more
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IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2021 Accurate defect characterization is desirable in the ultrasonic nondestructive evaluation as it can provide quantitative information about the defect type and geometry.
L. Bai +5 more
semanticscholar +1 more source
On Bayesian scatterometer wind inversion [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2006 In a quest for a generic unbiased scatterometer wind inversion method, the different inversion procedures currently in use are revisited in this paper. A careful examination of both the errors in the wind and in the measurement domain, combined with the nonlinear shape of the geophysical model function (GMF), leads to a generic and novel Bayesian wind ...
Stoffelen, Ad, Portabella, Marcos
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Inference of internal stress in a cell monolayer [PDF]
, 2016 We combine traction force data with Bayesian inversion to obtain an absolute estimate of the internal stress field of a cell monolayer. The method, Bayesian inversion stress microscopy (BISM), is validated using numerical simulations performed in a wide ...
Ishihara, S. +5 more
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, 2021 In conventional Bayesian geostatistical inversion, specific values of hyperparameters characterizing the prior distribution of random fields are required. However, these hyperparameters are typically very uncertain in practice.
Sinan Xiao +4 more
semanticscholar +1 more source
Bayesian seismic multi-scale inversion in complex Laplace mixed domains
Petroleum Science, 2017 Seismic inversion performed in the time or frequency domain cannot always recover the long-wavelength background of subsurface parameters due to the lack of low-frequency seismic records.
Kun Li, Xing-Yao Yin, Zhao-Yun Zong
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Fast Markov chain Monte Carlo sampling for sparse Bayesian inference in high-dimensional inverse problems using L1-type priors [PDF]
, 2012 Sparsity has become a key concept for solving of high-dimensional inverse problems using variational regularization techniques. Recently, using similar sparsity-constraints in the Bayesian framework for inverse problems by encoding them in the prior ...
Lucka, Felix
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