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Estimating the Uncertainty and Predictive Capabilities of Three-Dimensional Earth Models

Estimating the Uncertainty and Predictive Capabilities of Three-Dimensional Earth Models PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 11

Book Description
Many three-dimensional models of seismic velocity structure in Eurasia have been developed in recent years by the seismic nuclear monitoring community. Most of these models are not accompanied by quantitative estimates of uncertainty, either in the model velocities themselves or in geophysical observables predicted by the models (e.g., body-wave travel times). Moreover, the various 3D models produced by these studies have not been compared to one another for their predictive capabilities in any meaningful way. We have recently begun a new effort to address these issues, which will culminate in a comprehensive evaluation of the current generation of 3D seismic velocity models. In this paper we show the results of applying two familiar validation techniques, or model evaluation metrics, to three seismic velocity models. The evaluation metrics are regional travel-time prediction and event relocation, each using a ground-truth (GT) dataset that includes events with epicenters known to 7 km or better and regional P and S arrivals within the footprint of the model region. The models include the Joint Weston/MIT (JWM) crust and upper-mantle velocity model for south-central Asia, which was derived by jointly inverting a large set of body-wave Q travel times and surface-wave group velocities in a coupled nonlinear procedure. We also derived models from the body-wave and surface-wave datasets separately, using the same initial model, inversion grids, constraints and regularization employed in the joint inversion. To make comparisons with the JWM model possible, we applied the Poisson's ratio of the initial model to convert the P velocity model constructed with travel times to an S velocity model (and vice versa). The results of these exercises reveal many factors that complicate the straightforward evaluation of the models.

Estimating the Uncertainty and Predictive Capabilities of Three-Dimensional Earth Models

Estimating the Uncertainty and Predictive Capabilities of Three-Dimensional Earth Models PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 11

Book Description
Many three-dimensional models of seismic velocity structure in Eurasia have been developed in recent years by the seismic nuclear monitoring community. Most of these models are not accompanied by quantitative estimates of uncertainty, either in the model velocities themselves or in geophysical observables predicted by the models (e.g., body-wave travel times). Moreover, the various 3D models produced by these studies have not been compared to one another for their predictive capabilities in any meaningful way. We have recently begun a new effort to address these issues, which will culminate in a comprehensive evaluation of the current generation of 3D seismic velocity models. In this paper we show the results of applying two familiar validation techniques, or model evaluation metrics, to three seismic velocity models. The evaluation metrics are regional travel-time prediction and event relocation, each using a ground-truth (GT) dataset that includes events with epicenters known to 7 km or better and regional P and S arrivals within the footprint of the model region. The models include the Joint Weston/MIT (JWM) crust and upper-mantle velocity model for south-central Asia, which was derived by jointly inverting a large set of body-wave Q travel times and surface-wave group velocities in a coupled nonlinear procedure. We also derived models from the body-wave and surface-wave datasets separately, using the same initial model, inversion grids, constraints and regularization employed in the joint inversion. To make comparisons with the JWM model possible, we applied the Poisson's ratio of the initial model to convert the P velocity model constructed with travel times to an S velocity model (and vice versa). The results of these exercises reveal many factors that complicate the straightforward evaluation of the models.

Federal Plan for High-end Computing

Federal Plan for High-end Computing PDF Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 80

Book Description


Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

Parameter Estimation and Uncertainty Quantification in Water Resources Modeling PDF Author: Philippe Renard
Publisher: Frontiers Media SA
ISBN: 2889636747
Category :
Languages : en
Pages : 177

Book Description
Numerical models of flow and transport processes are heavily employed in the fields of surface, soil, and groundwater hydrology. They are used to interpret field observations, analyze complex and coupled processes, or to support decision making related to large societal issues such as the water-energy nexus or sustainable water management and food production. Parameter estimation and uncertainty quantification are two key features of modern science-based predictions. When applied to water resources, these tasks must cope with many degrees of freedom and large datasets. Both are challenging and require novel theoretical and computational approaches to handle complex models with large number of unknown parameters.

Uncertainty Analysis and Reservoir Modeling

Uncertainty Analysis and Reservoir Modeling PDF Author: Y. Zee Ma
Publisher: AAPG
ISBN: 0891813780
Category : Science
Languages : en
Pages : 329

Book Description


Seismological Research Letters

Seismological Research Letters PDF Author:
Publisher:
ISBN:
Category : Earthquakes
Languages : en
Pages : 436

Book Description


Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1102

Book Description


Measuring, Modeling and Predicting the Seismic Site Effect

Measuring, Modeling and Predicting the Seismic Site Effect PDF Author: Yefei Ren
Publisher: Frontiers Media SA
ISBN: 2832540090
Category : Science
Languages : en
Pages : 297

Book Description
As recognized universally by both seismology and earthquake engineering communities, the amplitude and frequency content of ground motions are influenced by local site effects, including the effects of near-surface geologic materials, surface topographic and basin effects, and so on. Strong linkage between seismic site effect and earthquake damage has been commonly demonstrated from many past earthquakes. Therefore, quantitative and reliable evaluation of the seismic site effect is one of the crucial aspects in seismic hazard assessment and risk mitigation. With the significant advancement of modern seismic monitoring networks and arrays, huge amounts of high-quality seismic records are now being accumulated. This encourages us to measure the site responses and its associated uncertainty for selected seismic stations by some record-dependent approaches, such as horizontal-to-vertical spectral ratio (HVSR) measurements, generalized spectral inversion (GIT) methods, etc. Machine learning techniques also show significant promise in characterization of the near-surface geologic properties and prediction of site response. These data-driven approaches help us to better understand the physics of spatial and temporal variabilities of ground motions. Due to more and more site-specific data being captured, invoking non-ergodic assumptions in seismic response analysis has recently been a topic of great interest in the community. For specific site response analysis, numerical simulations are carried out to model the dynamic process of seismic waves propagating and scattering in the subsurface strata. With development of modeling capacity, great efforts have been taken to evaluate quantitatively the complex 2D and 3D effects on seismic site response.

Applications of Data Assimilation and Inverse Problems in the Earth Sciences

Applications of Data Assimilation and Inverse Problems in the Earth Sciences PDF Author: Alik Ismail-Zadeh
Publisher: Cambridge University Press
ISBN: 1009180401
Category : Mathematics
Languages : en
Pages : 369

Book Description
A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines, ideal for researchers and graduate students. It highlights the importance of data assimilation for understanding dynamical processes of the Earth and its space environment, and summarises recent advances.

Rapid, Reproducible, and Robust Environmental Modeling for Decision Support: Worked Examples and Open-Source Software Tools

Rapid, Reproducible, and Robust Environmental Modeling for Decision Support: Worked Examples and Open-Source Software Tools PDF Author: Jeremy White
Publisher: Frontiers Media SA
ISBN: 283253581X
Category : Science
Languages : en
Pages : 295

Book Description


Selected Water Resources Abstracts

Selected Water Resources Abstracts PDF Author:
Publisher:
ISBN:
Category : Water
Languages : en
Pages : 710

Book Description