An Introduction to Surface Wave Analysis Michael E. Pasyanos - IRIS

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Dispersion Variations: Sediments Thickness Sediment thicknesses range from 0 km to over 20 km.
Sensitivity kernels Sensitivity kernels show the relationship between dispersion velocities and earth structure. They are calculated by taking the partial derivative of the dispersion velocities with respect to other parameters, such as shear-wave velocity. For instance, δU/δβ is often shown here. With increasing period, surface waves become sensitive to deeper velocity structures. They are themselves dependent on the velocity structure, so it is non-linear. Sensitivity kernels are used to invert the dispersion curves for layered velocity structure.
Page 1 and 2: An Introduction to Surface Wave Ana
Page 3 and 4: Section 1 - Background on Surface W
Page 5 and 6: Group Velocity vs. Phase Velocity S
Page 7 and 8: Rayleigh Waves Designated LR = “L
Page 9 and 10: Rayleigh Waves vs. Love Waves Unrot
Page 11 and 12: Higher Modes Higher mode exist, but
Page 13: Dispersion Variations: Crustal Thic
Page 17 and 18: Applications Joint inversion of sur
Page 19 and 20: Recent Tectonic History of Middle E
Page 21 and 22: Surface Wave Results for the Middle
Page 23 and 24: Section 2 - Surface Wave Analysis -
Page 25 and 26: Multiple-Filter Analysis PGSWMFA =
Page 27 and 28: Ambient Noise Analysis Has the pote
Page 29 and 30: Consistency between group and phase
Page 31 and 32: Phase Velocity Measurements Two-sta
Page 33 and 34: Seismic Tomography - Importance of
Page 35 and 36: Getting from dispersion maps and di
Page 37 and 38: Inversion vs. grid search The inver
Page 39 and 40: Results can be combined to produce
Page 41 and 42: Tradeoffs among various parameters
Page 43 and 44: One approach employed in Pasyanos a
Page 45 and 46: Summary § § § § § The analysis
Page 47 and 48: Surface Wave Model - Coverage Paths
Page 49 and 50: Examples get_dispersion 23.522499 4
Page 51 and 52: Tools Comparing between dispersion
Page 53 and 54: Introduction Crustal models like CR
Page 55 and 56: Parameterization Lateral Parameteri
Page 57 and 58: Varying the starting model After cr
Page 59 and 60: We assemble the results to construc
Page 61 and 62: High-resolution regional results fo
Page 63 and 64: Depth slices through the model 50 k
Page 65 and 66:
High-resolution regional results fo
Page 67 and 68:
The resulting model recovers the di
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An Introduction to Surface Wave Analysis Michael E. Pasyanos - IRIS

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