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DTIC ADA516012: Development and Tuning of a 3-D Stochastic Inversio... |
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by Defense Technical Information Center |
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High-resolution seismic models are a critical component |
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of calibrating earth structure for improved seismic |
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monitoring. We will in this study develop the Markov |
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Chain Monte Carlo (MCMC) inversion method into an even |
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stronger tool for deriving reliable three-dimensional |
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seismic models of the crust and upper mantle, based on |
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multiple types of geophysical data sets. This will be |
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done by tuning the method to the European Arctic through |
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development of a probabilistic geophysical model. While a |
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new and much improved model (BARENTS3D) recently has been |
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developed for this region (Ritzmann et al., 2007), |
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stochastic models have a potential to better represent |
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our state of knowledge (and uncertainty) about |
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geophysical structure because deterministic models do not |
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express well the tradeoffs inherent in the data. |
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Stochastic inverse methods also allow a more systematic |
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exploration of the model space to help avoid the trap of |
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falling into local minima. Finally, stochastic models |
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allow prediction of observable distributions (and through |
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them observable uncertainties). |
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Date Published: 2018-07-25 18:10:21 |
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Identifier: DTIC_ADA516012 |
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Item Size: 19239328 |
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Language: english |
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Media Type: texts |
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# Topics |
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DTIC Archive; ; NORWEGIAN SEISMIC ARR... |
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@chris85 |
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