the nature and promise of broadband surface-wave measurements from the random wavefield

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Nikolai Shapiro Michael Ritzwoller 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

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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 Presentation

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Page 1: The nature and promise of broadband surface-wave measurements from the random wavefield

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

Page 2: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 3: The nature and promise of broadband surface-wave measurements from the random wavefield

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

Page 4: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 5: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 6: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 7: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 8: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 9: The nature and promise of broadband surface-wave measurements from the random wavefield

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)

Page 10: The nature and promise of broadband surface-wave measurements from the random wavefield

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

Page 11: The nature and promise of broadband surface-wave measurements from the random wavefield

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

Page 12: The nature and promise of broadband surface-wave measurements from the random wavefield

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

Page 13: The nature and promise of broadband surface-wave measurements from the random wavefield