期刊论文详细信息
| Statistical Analysis and Data Mining | |
| Joining statistics and geophysics for assessment and uncertainty quantification of three‐dimensional seismic Earth models | |
| Higdon, David M.1  Anderson, Dale N.2  Larmat, Carène2  Maceira, Monica3  | |
| [1] Biocomplexity Institute of Virginia Tech Social Decision Analytics Laboratory Arlington Virginia;EES-17, Los Alamos National Laboratory Geophysics Group Los Alamos New Mexico;Global Security Directorate, Oak Ridge National Laboratory Oak Ridge Tennessee | |
| 关键词: permutation test; seismic models; seismology; spectral element method; t-test; uncertainty quantification; | |
| DOI : 10.1002/sam.11353 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: John Wiley & Sons, Inc. | |
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【 摘 要 】
Seismic inversions produce seismic models, which are 3-dimensional (3D) images of wave velocity of the entire planet retrieved by fitting seismic measurements made on records of past earthquakes or other seismic events. Computing power of the TeraFlop era, along with the dataflow from new, very dense, seismic arrays, has led to a new generation of 3D seismic Earth models with an unprecedented level of resolution.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902180267437ZK.pdf | 2468KB |
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