Seismic earth : array analysis of broadband seismograms
By A. Levander, Guust Nolet. 2005
139 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics
View Paper: https://www.semanticscholar.org/paper/4c5aca040721fd349774417402a5aab0832aa0f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Geophysics
- Yu Jeffrey Gu
- Qinya Liu
- D. Forsyth
- Yingjie Yang
- Jeroen Tromp
- Andreas Fichtner
- M. Ritzwoller
- Jeannot Trampert
Citations in the corpus
- Seismic imaging: From classical to adjoint tomography (2012, background): “, 2007), the concept of adjoint tomography could behighly valuable to the analysis of various datasets in array seismology (Gu, 2010; Levander and Nolet, 2005; Rost and Thomas, 2002, 2009).”
- Eikonal tomography: surface wave tomography by phase front tracking across a regional broad‐band seismic array (2009, unknown): “Examples are presented for the 12 and 24 s Rayleigh waves for the EarthScope/USArray Transportable Array stations in the western USA.”
- Regional tomographic inversion of the amplitude and phase of Rayleigh waves with 2-D sensitivity kernels (2006, methodology): “Our current inverse approach, described below and in Forsyth & Li (2005) and Yang & Forsyth (2005, submitted) inverts for 2-”
- Multiscale adjoint waveform tomography for surface and body waves (2015, unknown): “A total of ð79 × 4 þ 1Þ × ð19 × 4 þ 1Þ ¼ 24; 409 unique grid points and 79 × 19 × ð4 þ 1Þ 2 ¼ 37; 525 S-wave speeds are used for 2D spectral element discretization with polynomial degree four (Komatitsch et al., 2005).”