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Retrieving the elastodynamic Green's function of an arbitrary inhomogeneous medium by cross correlation.

16 Dec 2004-Physical Review Letters (American Physical Society)-Vol. 93, Iss: 25, pp 254301-254500
TL;DR: A correlation-type reciprocity theorem is used to show that the elastodynamic Green's function of any inhomogeneous medium (random or deterministic) can be retrieved from the cross correlation of two recordings of a wave field at different receiver locations at the free surface.
Abstract: A correlation-type reciprocity theorem is used to show that the elastodynamic Green's function of any inhomogeneous medium (random or deterministic) can be retrieved from the cross correlation of two recordings of a wave field at different receiver locations at the free surface. Unlike in other derivations, which apply to diffuse wave fields in random media or irregular finite bodies, no assumptions are made about the diffusivity of the wave field. In a second version, it is assumed that the wave field is diffuse due to many uncorrelated sources inside the medium.

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Summary

  • A correlation-type reciprocity theorem is used to show that the elastodynamic Green’s function of any inhomogeneous medium (random or deterministic) can be retrieved from the cross correlation of two recordings of a wave field at different receiver locations at the free surface.
  • Unlike in other derivations, which apply to diffuse wave fields in random media or irregular finite bodies, no assumptions are made about the diffusivity of the wave field.
  • In a second version, it is assumed that the wave field is diffuse due to many uncorrelated sources inside the medium.

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Retrieving the Elastodynamic Greens Function of an Arbitrary Inhomogeneous Medium
by Cross Correlation
Kees Wapenaar
*
Department of Geotechnology, Delft University of Technology, P.O. Box 5028, 2600 GA Delft, The Netherlands
(Received 18 August 2004; published 16 December 2004)
A correlation-type reciprocity theorem is used to show that the elastodynamic Greens function of
any inhomogeneous medium (random or deterministic) can be retrieved from the cross correlation of
two recordings of a wave field at different receiver locations at the free surface. Unlike in other
derivations, which apply to diffuse wave fields in random media or irregular finite bodies, no
assumptions are made about the diffusivity of the wave field. In a second version, it is assumed that
the wave field is diffuse due to many uncorrelated sources inside the medium.
DOI: 10.1103/PhysRevLett.93.254301 PACS numbers: 43.20.+g, 43.60.+d, 91.30.–f
Recently it has been shown by various authors that the
Greens function of a random medium or an irregular
finite body can be obtained by cross correlating the re-
cordings of a diffuse wave field at two receiver positions
[1–5]. The resulting Greens function is the wave field that
would be observed at one of these receiver positions if
there were an impulsive source at the other. This theoreti-
cal result has been successfully demonstrated with ultra-
sonic measurements [47] and seismic surface waves
[8,9]. The accuracy of the reconstructed Greens function
depends on the amount of disorder of the medium pa-
rameters and the duration of the signal. Ideally the cross
correlations should be done in the equipartitioned regime
(where the net energy flux is equal to zero), which takes
place after sufficiently long multiple scattering of the
wave field between the heterogeneities in the disordered
medium [7].
An initially independent line of research deals with the
reconstruction of the seismic reflection response of a
deterministic medium from passive recordings of the
transmission response. Already in 1968 Claerbout
showed that the autocorrelation of the transmission re-
sponse of a horizontally layered earth yields the super-
position of the reflection response and its time-reversed
version [10]. The source in the subsurface may be a
transient or a noise signal; in both cases the source
signature in the reconstructed reflection response is the
autocorrelation of the source signal in the subsurface.
This method has been applied to microearthquake data
[11]. The derivation in [10] was strictly one dimensional.
Later Claerbout conjectured for the 3D situation that by
cross-correlating noise traces recorded at two locations on
the surface, we can construct the wave field that would be
recorded at one of the locations if there was a source at
the other’ [12]. Although it was not explicitly stated, this
conjecture applies to deterministic media: in exploration
seismology the earth is usually considered to be built up
of geological layers with smoothly varying properties,
separated by well-defined curved interfaces and faults
which act as the main reflectors; scattering due to disor-
der of the parameters within the geological layers is
generally considered a second order effect. Numerical
modeling studies have been carried out to confirm
Claerbout’s conjecture [13]. These modeling studies
showed that ‘longer time series, and a white spatial
distribution of random noise events would be necessary
for the conjecture to work in practice. The cross-
correlation approach has been applied successfully to
helioseismic data [12,14]. Recently Claerbout’s conjec-
ture has been proven by the author [15,16]. The proof
also explains the empirical observations of the numerical
modeling studies.
In this Letter we derive a relation between the elasto-
dynamic Greens function and the cross correlation of
observed wave fields that holds at the free surface of
random as well as deterministic media. The approach is
quite different from that in [1–7], which holds only for
diffuse wave fields. It is also different from the derivation
in [15,16], which is based on coupled one-way wave
equations for acoustic down-going and up-going waves,
assumes a certain degree of smoothness of the medium
parameters, and ignores evanescent waves.
The basis for our derivation is a reciprocity theorem,
which relates two independent elastodynamic states
(wave fields and sources) in one and the same medium
[17]. One can distinguish between reciprocity theorems of
the convolution type and of the correlation type [18].
Correlation-type reciprocity theorems contain correla-
tions between the wave fields and sources in both states.
Since it is our aim to retrieve the Greens function from
the cross correlation of observed wave fields, the
correlation-type reciprocity theorem is a natural choice.
Let an elastodynamic wave field be characterized by
the space- and time-dependent particle velocity v
i
x;t
and stress tensor
ij
x;t. Here x x
1
;x
2
;x
3
and t de-
note the Cartesian coordinate vector and time, respec-
tively. Subscripts i and j take on the values 1, 2, and 3. We
use Einsteins summation convention for repeated lower-
PRL 93, 254301 (2004)
PHYSICAL REVIEW LETTERS
week ending
17 DECEMBER 2004
0031-9007=04=93(25)=254301(4)$22.50 254301-1 2004 The American Physical Society

case subscripts. We define the temporal Fourier transform
of a space- and time-dependent quantity as
^
v
i
x;!
R
expj!tv
i
x;tdt, where j is the imaginary unit and
! the angular frequency. In the space-frequency domain
the particle velocity and stress tensor in an inhomoge-
neous anisotropic lossless medium obey the equation of
motion j!
^
v
i
@
j
^
ij
^
f
i
and the stress-strain relation
j!s
ijkl
^
kl
@
j
^
v
i
@
i
^
v
j
=2
^
h
ij
, where @
j
is the par-
tial derivative in the x
j
direction, x the mass density of
the medium, s
ijkl
x its compliance,
^
f
i
x;! the external
volume force, and
^
h
ij
x;! the external deformation rate.
We consider the ‘interaction quantity’
^
v
i;A
^
ij;B
^
ij;A
^
v
i;B
, where the asterisk denotes complex conjuga-
tion and subscripts A and B are used to distinguish the two
independent states. Note that the product
^
v
i;A
^
ij;B
is the
Fourier transform of the cross correlation of v
i;A
x;t and
ij;B
x;t; a similar remark holds for ^
ij;A
^
v
i;B
. The elas-
todynamic reciprocity theorem of the correlation type is
obtained by applying the operator @
j
to the interaction
quantity, substituting the equation of motion and the
stress-strain relation for states A and B, using the sym-
metry relations ^
ij
^
ji
and s
ijkl
s
klij
, integrating the
result over a spatial domain D with boundary @D and
outward pointing normal vector n n
1
;n
2
;n
3
, and ap-
plying the theorem of Gauss [17]. This gives
I
@D
f
^
v
i;A
^
t
i;B
^
t
i;A
^
v
i;B
gd
2
x
Z
D
f
^
h
ij;A
^
ij;B
^
f
i;A
^
v
i;B
^
ij;A
^
h
ij;B
^
v
i;A
^
f
i;B
gd
3
x;
(1)
with the traction
^
t
i
at the boundary @D defined as
^
t
i
^
ij
n
j
. We apply this theorem to the wave fields in an
arbitrary inhomogeneous anisotropic lossless medium,
bounded by a free surface (Fig. 1). We choose @D such
that it consists of a part of the free surface, denoted by
@D
0
, and an arbitrarily shaped surface @D
1
inside the
medium. Furthermore, we assume that the sources
^
h
ij;A
,
^
f
i;A
,
^
h
ij;B
,and
^
f
i;B
in D are zero. Hence, Eq. (1) becomes
Z
@D
0
f
^
v
i;A
^
t
i;B
^
t
i;A
^
v
i;B
gd
2
x 
Z
@D
1
f
^
v
i;A
^
t
i;B
^
t
i;A
^
v
i;B
gd
2
x: (2)
We introduce sources in terms of boundary conditions at
the free surface @D
0
. This is possible since at a free
surface the traction is zero everywhere, except at those
positions where a source traction is applied. In state A we
apply a source traction in the x
p
direction at x
A
2 @D
0
with source function st. Hence, in the space-frequency
domain the traction for x 2 @D
0
is given by
^
t
i;A
x;!
x x
A
ip
^
s!, where x x
A
is a 2D Dirac delta
function and
ip
is the Kronecker delta function. The
observed particle velocity at x due to the source at x
A
is
expressed as
^
v
i;A
x;!
^
G
v;t
i;p
x; x
A
;!
^
s!, where x can
be anywhere at the free surface or in the medium.
^
G
v;t
i;p
x; x
A
;! represents a Greens function, with the fol-
lowing notation convention: the two coordinate vectors
between the brackets (here x and x
A
) represent the ob-
servation point and the source point, respectively; the
superscripts (here v and t) represent the observed quantity
(velocity) and the source quantity (traction), respectively;
the subscripts (here i and p) represent the component of
the observed quantity and the source quantity, respec-
tively. Similarly, in state B we apply a source traction in
the x
q
direction at x
B
2 @D
0
with the same source func-
tion st. Hence,
^
t
i;B
x;!x x
B
iq
^
s! for x 2
@D
0
and
^
v
i;B
x;!
^
G
v;t
i;q
x; x
B
;!
^
s! for any x.
Substituting these expressions in the left-hand side of
Eq. (2), and using reciprocity of the Greens function
[i.e.,
^
G
v;t
q;p
x
B
; x
A
;!
^
G
v;t
p;q
x
A
; x
B
;!], yields
Z
@D
0
f
^
v
i;A
^
t
i;B
^
t
i;A
^
v
i;B
gd
2
x f
^
G
v;t
q;p
x
B
;x
A
;!g
^
G
v;t
p;q
x
A
;x
B
;!j
^
s!j
2
2Ref
^
G
v;t
p;q
x
A
;x
B
;!gj
^
s!j
2
;
(3)
where Refg denotes the real part. In order to evaluate the
right-hand side of Eq. (2), we note that in states A and B
the velocities and tractions for x 2 @D
1
, due to the trac-
tion sources at x
A
and x
B
, can be expressed as
^
v
i;A
x;!
^
G
v;t
i;p
x; x
A
;!
^
s!
^
G
v;f
p;i
x
A
; x;!
^
s!;
^
t
i;A
x;!
^
G
t;t
i;p
x; x
A
;!
^
s!
^
G
v;h
p;i
x
A
; x;!
^
s!;
^
v
i;B
x;!
^
G
v;t
i;q
x; x
B
;!
^
s!
^
G
v;f
q;i
x
B
; x;!
^
s!;
^
t
i;B
x;!
^
G
t;t
i;q
x; x
B
;!
^
s!
^
G
v;h
q;i
x
B
; x;!
^
s!:
Note that the second Greens function in each of these
equations is the reciprocal of the first and can therefore be
interpreted as an observation at the free surface (at x
A
or
x
B
), due to a source at x 2 @D
1
.In
^
G
v;f
p;i
x
A
; x;! the
observed quantity is velocity and the source is a volume
n
A
x
B
x
()ρ x
()
ijkl
s x
I
D
I
D
1
0
n
A
x
B
x
()ρ x
()
ijkl
s x
I
D
I
D
I
D
I
D
1
0
FIG. 1. Inhomogeneous anisotropic lossless medium,
bounded by a free surface.
PRL 93, 254301 (2004)
PHYSICAL REVIEW LETTERS
week ending
17 DECEMBER 2004
254301-2

force; in
^
G
v;h
p;i
x
A
; x;! the observed quantity is again velocity but the source is a specific type of deformation rate source
(actually
^
G
v;h
p;i
n
j
^
G
v;h
p;ij
, where the source for
^
G
v;h
p;ij
is a deformation rate tensor and n
j
is the j component of the normal
at @D
1
). Substituting these expressions in the right-hand side of Eq. (2) (and using Eq. (3) for the left-hand side) we
obtain
2Ref
^
G
v;t
p;q
x
A
; x
B
;!g
Z
@D
1
f
^
G
v;f
p;i
x
A
; x;!g
^
G
v;h
q;i
x
B
; x;!f
^
G
v;h
p;i
x
A
; x;!g
^
G
v;f
q;i
x
B
; x;!d
2
x: (4)
The left-hand side of this equation represents the Fourier
transform of the superposition of the time domain
Greens function G
v;t
p;q
x
A
; x
B
;t and its time-reversed ver-
sion at the free surface. Since the Greens function is
causal, it does not interfere with its time-reversed version
(except at t 0), so it is recovered by multiplying the
two-sided result with the Heaviside step function Ht.
Note that this Greens function represents the velocity in
the x
p
direction at x
A
due to a source traction in the x
q
direction at x
B
. The terms under the integral on the right-
hand side represent cross correlations of particle veloc-
ities in the x
p
and x
q
directions at x
A
and x
B
, respectively,
due to volume force and deformation rate sources at x on
an arbitrarily shaped surface @D
1
in the medium.
Equation (4) is exact, so in theory it is possible to retrieve
the exact Greens function, including the coda, of any
inhomogeneous anisotropic lossless medium (random or
deterministic) from cross correlations of observed parti-
cle velocities at the free surface. Unlike in the approach
for diffuse wave fields [1–7], which requires only one or a
few sources, in Eq. (4) it is assumed that volume force and
deformation rate sources are available everywhere on @D
1
and that the response of each source is measured sepa-
rately. In general not all sources are equally important.
When the aim is to retrieve surface waves, the main
contribution comes from sources at @D
1
close to the
free surface. On the other hand, in order to retrieve the
reflection response, sources at @D
1
below x
A
and x
B
give
the main contribution.
In the following we make some approximations which
circumvent several of the assumptions mentioned above.
When the medium outside @D
1
is homogeneous and
source-free, Eq. (4) may be approximated by
2Ref
^
G
v;t
p;q
x
A
; x
B
;!g
Z
@D
1
f
^
G
v;
p;k
x
A
; x;!g
^
G
v;
q;k
x
B
; x;!d
2
x; (5)
which follows from an analysis similar as in [19]. The
Greens functions in the right-hand side represent again
velocities at x
A
and x
B
due to sources at x 2 @D
1
.The
superscript denotes that these sources are quasi P-wave
sources (for k 1) and quasi S-wave sources with differ-
ent polarizations (for k 2; 3). The accuracy of Eq. (5)
depends on the curvature of @D
1
(when @D
1
would be
planar, the only approximation would be that evanescent
waves are neglected). Next we assume mutually uncorre-
lated noise sources
^
N
k
x;! and
^
N
l
x
0
;! for any x and
x
0
at @D
1
, obeying the relation h
^
N
k
x;!
^
N
l
x
0
;!i
kl
x x
0
^
S!, where hi denotes a spatial ensemble
average and
^
S! the power spectrum of the noise (which
is assumed to be the same for all sources). Inserting this
relation in the right-hand side of Eq. (5) yields
2Ref
^
G
v;t
p;q
x
A
;x
B
;!g
^
S! hf
^
v
obs
p
x
A
;!g
^
v
obs
q
x
B
;!i;
(6)
where
^
v
obs
p
x
A
;!
Z
@D
1
^
G
v;
p;k
x
A
; x;!
^
N
k
x;!d
2
x (7)
and
^
v
obs
q
x
B
;!
Z
@D
1
^
G
v;
q;l
x
B
; x
0
;!
^
N
l
x
0
;!d
2
x
0
: (8)
Here
^
v
obs
p
x
A
;! and
^
v
obs
q
x
B
;! are the observed particle
velocities at x
A
and x
B
at the free surface due to a
distribution of noise sources at an arbitrarily shaped
surface @D
1
inside the medium. The average in Eq. (6)
is taken over different realizations of the source distribu-
tion. In the time domain Eq. (6) becomes
Z
1
1
fG
v;t
p;q
x
A
; x
B
; t
0

G
v;t
p;q
x
A
; x
B
;t
0
gSt t
0
dt
0

Z
1
1
v
obs
p
x
A
;t t
0
v
obs
q
x
B
;t
0
dt
0
: (9)
According to this equation, the cross correlation of the
observed particle velocities at x
A
and x
B
yields the elas-
todynamic Greens function between x
A
and x
B
, con-
volved with the autocorrelation of the noise sources.
The advantage of Eq. (9) over Eq. (4) is that no separate
measurements of the responses of all sources at @D
1
are
required; these responses can be measured simulta-
neously, according to Eqs. (7) and (8). Note that by omit-
PRL 93, 254301 (2004)
PHYSICAL REVIEW LETTERS
week ending
17 DECEMBER 2004
254301-3

ting the subscripts p, q, k,andl in Eqs. (7)–(9) we obtain
an expression for the acoustic Greens function at the free
surface of an inhomogeneous lossless fluid.
Equation (9) has a striking resemblance to the result of
[1–7]. In Eq. (9) there are no specific assumptions made
about the medium, but there should be many mutually
uncorrelated sources present, which leads again to a dif-
fuse wave field.
An application of Eq. (9) is passive seismic imaging. In
this application v
obs
p
x
A
;t and v
obs
q
x
B
;t represent pas-
sive recordings by geophones at the earths surface of
noise generated by natural sources in the subsurface. By
placing many geophones at the surface, the reflection
response can be reconstructed for many x
A
’s and x
B
’s.
By downward extrapolating these responses into the sub-
surface one can subsequently form an image of the sub-
surface [2024]. This procedure makes no assumptions
with respect to the diffusivity of the wave field. Suppose
that the medium is fully deterministic and that there is
only one noise source present in the subsurface. Although
for this situation it is not possible to reconstruct the
Greens function as an intermediate result, the passive
imaging method still maps the primary reflection re-
sponse (i.e., the ballistic wave) to its correct scattering
origin in depth as long as the specular reflection point at
the free surface lies within the array of geophones. This
has been shown with stationary phase analysis [20 22]
and confirmed with numerical modeling studies [24].
In conclusion, we have shown that the elastodynamic
Greens function of any inhomogeneous medium (random
or deterministic) can be retrieved from the cross correla-
tion of two recordings of a wave field at different receiver
locations. Unlike in the derivations in [1–7], which apply
to diffuse wave fields in random media or finite bodies,
we have made no assumptions about the distribution of
the medium parameters. Using a reciprocity theorem of
the correlation type, we derived an exact representation
for the Greens function in terms of an integral of cross
correlations of observed wave fields at two points at the
free surface [Eq. (4)]; the integral is along an arbitrarily
shaped surface inside the medium, which contains the
sources of the observed wave fields. Next we assumed that
these sources are mutually uncorrelated noise sources,
which led to an expression [Eq. (9)] analogous to that in
[1–7]. Finally, we indicated that for passive imaging of
the ballistic wave the wave field need not be diffusive at
all: a single source in a deterministic medium suffices, as
long as the receiver array covers the specular reflection
point at the free surface [20 22].
This work is supported by the Netherlands Research
Centre for Integrated Solid Earth Science (ISES). I thank
my colleagues Deyan Draganov, Evert Slob, and Jesper
Spetzler for carefully reading the manuscript.
*Electronic address: C.P.A.Wapenaar@CiTG.TUDelft.NL
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PRL 93, 254301 (2004)
PHYSICAL REVIEW LETTERS
week ending
17 DECEMBER 2004
254301-4
Citations
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Journal ArticleDOI
TL;DR: Proxy curves relating observed signal-to-noise ratios to average measurement uncertainties show promise to provide useful expected measurement error estimates in the absence of the long time-series needed for temporal subsetting.
Abstract: SUMMARY Ambient noise tomography is a rapidly emerging field of seismological research. This paper presents the current status of ambient noise data processing as it has developed over the past several years and is intended to explain and justify this development through salient examples. The ambient noise data processing procedure divides into four principal phases: (1) single station data preparation, (2) cross-correlation and temporal stacking, (3) measurement of dispersion curves (performed with frequency‐time analysis for both group and phase speeds) and (4) quality control, including error analysis and selection of the acceptable measurements. The procedures that are described herein have been designed not only to deliver reliable measurements, but to be flexible, applicable to a wide variety of observational settings, as well as being fully automated. For an automated data processing procedure, data quality control measures are particularly important to identify and reject bad measurements and compute quality assurance statistics for the accepted measurements. The principal metric on which to base a judgment of quality is stability, the robustness of the measurement to perturbations in the conditions under which it is obtained. Temporal repeatability, in particular, is a significant indicator of reliability and is elevated to a high position in our assessment, as we equate seasonal repeatability with measurement uncertainty. Proxy curves relating observed signal-to-noise ratios to average measurement uncertainties show promise to provide useful expected measurement error estimates in the absence of the long time-series needed for temporal subsetting.

1,798 citations


Cites background from "Retrieving the elastodynamic Green'..."

  • ...…N Theoretical studies have shown that the cross-correlation of diffuse wavefields (e.g. ambient noise, scattered coda waves) can provide an estimate of the Green function between the stations (e.g. Weaver & Lobkis 2001a,b, 2004; Derode et al. 2003; Snieder 2004; Wapenaar 2004; Larose et al. 2005)....

    [...]

Journal ArticleDOI
TL;DR: In this article, it was shown that the acoustic Green's function between any two points in the medium can be represented by an integral of crosscorrelations of wavefield observations at those two points.
Abstract: The term seismic interferometry refers to the principle of generating new seismic responses by crosscorrelating seismic observations at different receiver locations. The first version of this principle was derived by Claerbout (1968), who showed that the reflection response of a horizontally layered medium can be synthesized from the autocorrelation of its transmission response. For an arbitrary 3D inhomogeneous lossless medium it follows from Rayleigh's reciprocity theorem and the principle of time-reversal invariance that the acoustic Green's function between any two points in the medium can be represented by an integral of crosscorrelations of wavefield observations at those two points. The integral is along sources on an arbitrarily shaped surface enclosing these points. No assumptions are made with respect to the diffusivity of the wavefield. The Rayleigh-Betti reciprocity theorem leads to a similar representation of the elastodynamic Green's function. When a part of the enclosing surface is the earth's free surface, the integral needs only to be evaluated over the remaining part of the closed surface. In practice, not all sources are equally important: The main contributions to the reconstructed Green's function come from sources at stationary points. When the sources emit transient signals, a shaping filter can be applied to correct for the differences in source wavelets. When the sources are uncorrelated noise sources, the representation simplifies to a direct crosscorrelation of wavefield observations at two points, similar as in methods that retrieve Green's functions from diffuse wavefields in disordered media or in finite media with an irregular bounding surface.

700 citations

Journal ArticleDOI
TL;DR: In this article, passive image interferometry is used to continuously monitor small temporal changes of seismic velocities in the subsurface of Mt. Merapi volcano, which is independent of sources in the classical sense and requires just one or two permanent seismic stations.
Abstract: [1] We propose passive image interferometry as a technique for seismology that allows to continuously monitor small temporal changes of seismic velocities in the subsurface. The technique is independent of sources in the classical sense and requires just one or two permanent seismic stations. We retrieve the Green’s functions that we use for interferometry from ambient seismic noise. Applying passive image interferometry to data from Merapi volcano we show that velocity variations can be measured with an accuracy of 0.1% with a temporal resolution of a single day. At Mt. Merapi the velocity variations show a strong seasonal influence and we present a depth dependent hydrological model that describes our observations solely based on precipitation. Citation: Sens

610 citations


Cites background from "Retrieving the elastodynamic Green'..."

  • ...Green’s function (GF, or impulse response) between two points A and B can be retrieved by cross-correlation of a random isotropic wave field sensed at A and B [Derode et al., 2003; Sánchez-Sesma and Campillo, 2006; Wapenaar, 2004; Snieder, 2004]....

    [...]

  • ...The basic principle of passive imaging is that the Green’s function (GF, or impulse response) between two points A and B can be retrieved by cross-correlation of a random isotropic wave field sensed at A and B [Derode et al., 2003; Sánchez-Sesma and Campillo, 2006; Wapenaar, 2004; Snieder, 2004]....

    [...]

Journal ArticleDOI
TL;DR: In this article, a cross-correlations of long time-series of ambient noise data is computed in daily segments, stacked over 1 yr, and Rayleigh wave group dispersion curves from 8 to 50 s period are measured using a phase-matched filter, frequency time analysis technique.
Abstract: SUMMARY We extend ambient noise surface wave tomography both in bandwidth (10‐50 s period) and in geographical extent (across much of Europe) compared with previous applications. 12 months of ambient noise data from 2004 are analysed. The data are recorded at about 125 broadband Seismic stations from the Global Seismic Network and the Orfeus Virtual European Broad-band seismic Network. Cross-correlations are computed in daily segments, stacked over 1 yr, and Rayleigh wave group dispersion curves from 8 to 50 s period are measured using a phase-matched filter, frequency time analysis technique. We estimate measurement uncertainties using the seasonal variation of the dispersion curves revealed in 3 month stacks. On average, uncertainties in group delays increase with period from ∼ 3t o∼7 s from periods of 10 to 50 s, respectively. Group speed maps at periods from 10 to 50 s are estimated. The resulting path coverage is denser and displays a more uniform azimuthal distribution than from earthquake-emitted surface waves. The fit of the group speed maps to the ambient noise data is significantly improved below 30 s compared to the fit achieved with earthquake data. Average resolution is estimated to be about 100 km at 10 s period, but degrades with increasing period and toward the periphery of the study region. The resulting ambient noise group speed maps demonstrate significant agreement with known geological and tectonic features. In particular, the signatures of sedimentary basins and crustal thickness are revealed clearly in the maps. These results are evidence that surface wave tomography based on crosscorrelations of long time-series of ambient noise data can be achieved over a broad period band on nearly a continental scale and yield higher resolution and more reliable group speed maps than based on traditional earthquake-based measurements.

533 citations


Cites background from "Retrieving the elastodynamic Green'..."

  • ...Theoretical research has shown that, under the right circumstances, the cross-correlation of records from two seismic stations provides an estimate of the Green function between the stations, modulated by the spectrum of the noise source (Weaver and Lobkis, 2001a, 2001b, 2004; Derode et al., 2003; Snieder, 2004; Wapenaar, 2004; Larose et al., 2005)....

    [...]

  • ...…the right circumstances, the cross-correlation of records from two seismic stations provides an estimate of the Green’s function between the stations, modulated by the spectrum of the noise source (Weaver & Lobkis 2001a,b, 2004; Derode et al. 2003; Snieder 2004; Wapenaar 2004; Larose et al. 2005)....

    [...]

Journal ArticleDOI
TL;DR: Sabra et al. as mentioned in this paper used a simple but densely sampled tomographic procedure to estimate the surface wave velocity structure within the frequency range of 0.1-0.2 Hz for a region in Southern California.
Abstract: Received 5 April 2005; revised 23 May 2005; accepted 9 June 2005; published 26 July 2005. [1] Since it has already been demonstrated that point-topoint seismic propagation Green Functions can be extracted from seismic noise, it should be possible to image Earth structure using the ambient noise field. Seismic noise data from 148 broadband seismic stations in Southern California were used to extract the surface wave arrival-times between all station pairs in the network. The seismic data were then used in a simple, but densely sampled tomographic procedure to estimate the surface wave velocity structure within the frequency range of 0.1–0.2 Hz for a region in Southern California. The result compares favorably with previous estimates obtained using more conventional and elaborate inversion procedures. This demonstrates that coherent noise field between station pairs can be used for seismic imaging purposes. Citation: Sabra, K. G., P. Gerstoft, P. Roux, W. A. Kuperman, and M. C. Fehler (2005), Surface wave tomography from microseisms in Southern California, Geophys. Res. Lett., 32, L14311, doi:10.1029/2005GL023155.

526 citations

Frequently Asked Questions (1)
Q1. What are the contributions in "Retrieving the elastodynamic green’s function of an arbitrary inhomogeneous medium by cross correlation" ?

In this paper, a correlation-type reciprocity theorem is used to show that the elastodynamic Green 's function of any inhomogeneous medium ( random or deterministic ) can be retrieved from the cross correlation of two recordings of a wave field at different receiver locations at the free surface.