the nature and promise of broadband surface-wave measurements from the random wavefield
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The nature and promise of broadband surface-wave measurements from the random wavefield. Nikolai Shapiro Michael Ritzwoller. Michel Campillo Laurent Stehly. Université Joseph Fourier Grenoble, France. University of Colorado at Boulder. - PowerPoint PPT PresentationTRANSCRIPT
Nikolai Shapiro
Michael Ritzwoller
The nature and promise of broadband surface-wave measurements from the
random wavefield
The nature and promise of broadband surface-wave measurements from the
random wavefield
University of Colorado at Boulder
Michel Campillo
Laurent Stehly
Université Joseph Fourier Grenoble, France
Main goal: to optimize the surface-wave imagingin context of USArray
Main goal: to optimize the surface-wave imagingin context of USArray
Main problem: low regional seismicity for most of USAMain problem: low regional seismicity for most of USA
earthquakes with M>4.5 occurred during 18 months (01/01/2001-07/01/2002)
traditional approach:using
teleseismic surface waves
• extended lateral sensitivity• sample only certain directions• source dependent• difficult to make short-period measurements
source
Consequence: limited resolution
• localized lateral sensitivity• samples all directions • source independent• may allow many short-period measurements
Alternative solution:making measurement from
random wavefield(ambient seismic noise)
May improve resolution
Extracting Green functions from the random wavefield by field-to-filed correlation: theoretical background
Extracting Green functions from the random wavefield by field-to-filed correlation: theoretical background
anam* =δn,mF(ωn)
C(x,y,τ) = F(ωn)un(x)un(y)e−iωnτ
n∑
φ(x,t) = anun(x)eiωnt
n∑modal representation of the random field:
ωn - eigenfrequencies
un - eigenfunctions
an - modal excitations, uncorrelated random variables:
F(ω) - spectral energy density
cross-correlation between points x and y :
differs only by an amplitude factor F() from an actual Green function between x and y
seismic noise is excited by randomly distributed ambient sources (oceanic microseisms and atmospheric loads)
cross-correlations from 30 days of continuous vertical component records (2002/01/10-2002/02/08)
prediction from global group velocity maps of Ritzwoller et al. (2002)
frequency-time analysis of the broadband cross-correlation
Cross-correlations from ambient seismic noise: ANMO - CCMCross-correlations from ambient seismic noise: ANMO - CCM
(from Shapiro and Campillo, GRL, 2004)
Cross-correlations from ambient seismic noise at US stationsCross-correlations from ambient seismic noise at US stations
frequency-time analysis of broadband cross-correlations
computed from 30 days of continuous vertical component records
(from Shapiro and Campillo, GRL, 2004)
Cross-correlation from ambient seismic noise in North-Western PacificCross-correlation from ambient seismic noise in North-Western Pacific
broadband cross-correlation computed from 30 days of
continuous vertical component records
(from Shapiro and Campillo, GRL, 2004)
Cross-correlation from ambient seismic noise in North-Western PacificCross-correlation from ambient seismic noise in North-Western Pacific
broadband cross-correlation computed from 30 days of
continuous vertical component records
(from Shapiro and Campillo, GRL, 2004)
Cross-correlations from ambient seismic noise in CaliforniaCross-correlations from ambient seismic noise in California
cross-correlations of vertical component continuous records (1996/02/11-1996/03/10)0.03-0.2 Hz
3 km/s - Rayleigh wave
(from Shapiro and Campillo, GRL, 2004)
correlations computed over four different three-week
periods
band-passed
15 - 30 s
band-passed5 - 10 s
PHL - MLAC 290 km
repetitive measurements provide uncertainty estimations
PHL - MLAC 290 km correlations computed over four different three-week
periods
band-passed
15 - 30 s
band-passed5 - 10 s
repetitive measurements provide uncertainty estimations
1. Measurements possible for every pair of stations
2. No source related errors
3. Localized sensitivity zones
4. Measurements can be extended to shorter periods
5. Repetitive measurements provide uncertainty estimations
Cross-correlations computed from the ambient seismic noise can provide new surface-wave dispersion measurements that have numerous advantages relative to traditional measurements made from teleseismic waves:
ConclusionsConclusions
Those measurements may be particularly useful in context of dense arrays of seismometers, such as USArray