application of empirical green’s functions for the construction and validation of the gbcvm morgan...
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Application of empirical Green’s functions for the construction and validation of the GBCVM
Morgan P. Moschetti and Michael H. RitzwollerCenter for Imaging the Earth’s Interior
Univ. of Colorado, Boulder
Arthur Rodgers and Anders PeterssonLawrence Livermore National Laboratory
GBCVM Workshop, UNRJanuary 14, 2008
Overview
Ambient noise processing for EGFs Dispersion measurements for surface wave
tomography 3-D inversion - shear wave velocity values Comparison of EGFs and synthetics from the
USGS Bay Area 3-D velocity model.
Application to GBCVM (Weaver, 2005)
Ambient Noise Processing for empirical Green’s functions
Ambient Noise Processing for empirical Green’s functions
time (s)0 250100 200
4 – 10 sec
10 – 20 sec
20 – 35 sec
Broadband
time (s)
16 Month Stack
Station Y12C
Station 109C
No
rmal
ized
vel
oci
ty
Distance: 258 km
Rayleigh Wave Phase Velocity Maps
• 477 stations (USArray TA and regional networks) – 0.5 degree grid
• > 100,000 inter-station paths• Ability to improve local resolution with
higher density arrays• http://ciei.colorado.edu/~morganm
Local Dispersion curves for inversion
Period (s)
Rayleigh wave phase velocity maps
Love wave phase velocity maps
Period (s)
c (k
m/s
), L
ove
c (k
m/s
), R
ayle
igh
Neighbourhood Algorithm to define an ensemble of acceptable models
Period (s)
c (k
m/s
), L
ove
c (k
m/s
), R
ayle
igh
Rayleigh waveform comparisons – validation of the USGS Bay Area 3-D Velocity Model
(from collaboration with Rodgers and Petersson, LLNL.)
BKS-MNRC BKS-BNLO
red: EGFgreen: synthetic
Inter-station paths with good measurements
• USGS Bay Area 3-D model – two domains
• 130 common paths (EGF/synthetics)• EGFs limited by stations, synthetics
limited by model.
Rayleigh wave dispersion measurements
period (s)V
elo
city
(km
/s)
period (s)
Group velocities Phase velocitiesBKS - MNRC
period (s)
Vel
oci
ty (
km/s
)
period (s)
Group velocities Phase velocitiesBKS - BNLO
Conclusions and Future Work
Empirical Green’s functions within and across Nevada for comparison and inversion.
Shear-wave velocities across Nevada for background values and model/inversion constraint.
Comparison of EGF and synthetic waveforms allows for validation and assimilation of models.
Improved data coverage from higher density arrays.