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Seismic waveform inversion at the regional scale: application to southeastAsia. Barbara Romanowicz 1 , Aimin Cao 2 , M.Panning 3 , F. Marone 4 ,Yann Capdeville 5 , Laurent Stehly 1 and Paul Cupillard 1 1 Univ. of California, Berkeley 2 Rice Univ. 3 Princeton U.
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Seismic waveform inversion at the regional scale: application to southeastAsia Barbara Romanowicz1, Aimin Cao2, M.Panning3, F. Marone4 ,Yann Capdeville5, Laurent Stehly1 and Paul Cupillard1 1Univ. of California, Berkeley 2Rice Univ. 3Princeton U. 4P. Scherrer Institute,Switz.erland 5 Institut de Physique du Globe, Paris, France
I- Background:In the context of global S velocity, long period tomography
Standard tomographic ingredients: Parametric data • Body wave travel times • well separated phases • Ray theory or, more recently finite frequency (“Banana-doughnut”) kernels • Surface waves • Group/phase velocities • Path average approximation (PAVA)
Waveform Tomography observed synthetic • Need framwork for computation of 3D synthetics • (2) Framework needs to be appropriate for body waves
Waveform Inversion Methodology: • Non-linear Asymptotic Coupling Theory (NACT); 3 component waveforms • extension to anisotropic inversion • iterative inversion for elastic and anelastic structure SS Sdiff PAVA NACT
Elastic structure- SAW24B16 (SH) Anelastic structure QRLW8 Mégnin and Romanowicz, 2000 Gung and Romanowicz, 2004
II. Beyond PAVA and NACT (in the context of normal mode summation)
M S R M S R Born approximation: Single scattering Integration over the Whole sphere PAVA approximation (1D in the Vertical plane) NACT (2D in the vertical plane) Both include multiple forward scattering
“N-BORN“ • Add PAVA term (multiple forward scattering) into BORN. • Application to South East Asia • Comparison of NACT and N-Born inversion
Spherical spline parametrization StartingNACT radially aniso- tropic model Level 4 Splines l~800km Level 6 Splines l~200km Red: NACT region Blue: NBORN region
We include both fundamental mode and overtone waveforms By including overtones, we improve depth resolution into the transition zone after Ritsema et al, 2004
Isotropic S velocity NACT NBORN 80km 150km 250 km
NACT A B A B Friederich, 2003 NBORN A B
NACT NBORN Vs Radial anisotropy: x
Waveform Tomography observed synthetic • Normal mode perturbation theory (generally to 1st order) • (2) Numerical methods (e.g. SEM)
“Hybrid” Approach u(m) ∂u(m)/ ∂m Use coupled spectral element method of Capdeville et al. (2002) to accurately forward model wave propagation through a 3D medium. Use NACT, with the hope that the derivatives are the correct sign. Much faster than cSEM! NACT G1= Normal modes in 1D G2 = Spectral element method Li and Romanowicz, 1995 Capdeville et al., 2002
Preliminary “Level 4” radially anisotropic upper mantle model Obtained using SEM, starting from 1D model – courtesy of Ved Lekic
IV-exploratory: summed event inversion • SEM is accurate but very time consuming: the wavefield computation for a single event can take a couple of hours (depending on the computer and the maximum frequency, and distance) not very practical for tomography • Can we speed up the computation by computing SEM synthetics for many events simultaneously (e.g. Capdeville et al., 2005, GJI)?
Summed seismogram inversion • Start with N-Born model • Restrict study to smaller region • Collect a dataset of waveforms in the distance range 4 to 40 degrees (~100 events) • period range 60-400 sec • Data: summed waveforms for all events at one or a subset of stations • Synthetics: RegSEM for summed events in the N-Born model
Summed seismograms at station XAN XAN Time (seconds) Black: observed trace (filtered between 60 and 250 s) Red: RegSEM synthetic in the 3D N-Born starting model
NBorn starting model Inversion usingRegSEM – Individual seismograms
“Summed seismogram” inversion “Individual seismogram” inversion
Current developments: • larger dataset, • Extended tests • -progressively reach shorter periods and higher resolution
Seismic tomography - Linearized inverse problem: dd = A dm Step 1: forward mi+1 = mi + dm dd = u(t)obs- u(t)pred A: Fréchet Derivatives Wave propagation theory
Seismic tomography - Linearized inverse problem: Step 2: inverse dd = A dm Step 1: forward mi+1 = mi + dm dd = u(t)obs- u(t)pred A: Fréchet Derivatives Wave propagation theory
P-wavespeed S-wavespeed Surface wave tomography (Lebedev et al., 2006) PRI-P05 (Montelli et al.) MIT-P06 (Li et al.) Courtesy of Rob van der Hilst
NBORN model predictions: NBORN/NACT Residual variance Damping Factor
Radial anisotropy Gung et al., Nature, 2003
AB CD Hawaii Pacific Superplume
Ritzwoller and Shapiro, 2002 Kustowski et al. 2007 NACT NBORN
Level 6 Spherical splines (preliminary) Version cargese
N-Born inversion • 152 events • One iteration only • Starting model: 3D “NACT” model • Forward model: N-BORN • Partial derivatives: BORN (Capdeville,2006) • Elastic and radially aniosotropic structure
Upper mantle:Q - lower mantle: Vsh Degree 2 only