Title: Broad-Band Ambient Noise Tomography Across Europe and North America
1Broad-Band Ambient Noise Tomography Across Europe
and North America
Yingjie Yang, Mike Ritzwoller, Gregory Bensen,
Nikolai Shapiro, Anatoli Levshin University of
Colorado at Boulder IPGP, Paris
R. Weaver, Science, 2005
2Outline
- Ambient noise tomography data processing
procedure. - Estimated group speed maps across Europe.
- 3. Evidence that the results are an improvement
over traditional surface-wave earthquake
tomography. - Preliminary tomography in the Western US using
EarthScope Transportable Array data. - Conclusions.
3Outline
- Ambient noise tomography data processing
procedure. - Estimated group speed maps across Europe.
- Evidence that the results are an improvement over
traditional surface-wave earthquake tomography. - Preliminary tomography in the Western US using
EarthScope Transportable Array data. - Conclusions.
4Outline
- Ambient noise tomography data processing
procedure. - Estimated group speed maps across Europe.
- Evidence that the results are an improvement over
traditional surface-wave earthquake tomography. - Preliminary tomography in the Western US using
EarthScope Transportable Array data. - Conclusions.
5Data Processing Procedure
Phase 1. Pre-processing of single-station
data. ? Remove instrument, mean, trend,
band-pass filter, cut to 1-day. ? Time-domain
normalization desensitize to earthquakes
instrumental irregularities.
6Data Processing Procedure
Phase 1. Pre-processing of single-station
data. ? Remove instrument, mean, trend,
band-pass filter, cut to 1-day. ? Time-domain
normalization desensitize to earthquakes
instrumental irregularities.
7Data Processing Procedure
Phase 1. Pre-processing of single-station
data. ? Remove instrument, mean, trend,
band-pass filter, cut to 1-day. ? Time-domain
normalization desensitize to earthquakes
instrumental irregularities. ? Spectral
whitening.
8Data Processing Procedure
Phase 1. Pre-processing of single-station
data. ? Remove instrument, mean, trend,
band-pass filter, cut to 1-day. ? Time-domain
normalization desensitize to earthquakes
instrumental irregularities. ? Spectral
whitening.
9Data Processing Procedure
Phase 2. Processing on station-pairs
cross-correlation and stacking. ? Effect of
temporal normalization.
10Data Processing Procedure
Phase 2. Processing on station-pairs
cross-correlation and stacking. ? Effect of
temporal normalization. ? Effect of
pre-whitening.
11Data Processing Procedure
Phase 2. Processing on station-pairs
cross-correlation and stacking. ? Emergence of
the signal with stacks of increasing length.
12Data Processing Procedure
Phase 2. Processing on station-pairs
cross-correlation and stacking. ? Result of
following the processing procedure and stacking
over long time series.
13Data Processing Procedure
Phase 3. Measure dispersion curves.
Path N. Germany to N. Italy
14Data Processing Procedure
Phase 4. Error analysis and measurement
selection. ? Only high SNR observations are
used. ? Measurements are repeatable -- basis for
error analysis.
Path Holland to Hungary
15Data Processing Procedure
Phase 4. Error analysis and measurement
selection. ? Only high SNR observations are
used. ? Measurements are repeatable -- basis for
error analysis. ? Measurements cohere as a set
-- determined during tomography.
16Outline
- Ambient noise tomography data processing
procedure. - Estimated group speed maps across Europe.
- Evidence that the results are an improvement over
traditional surface-wave earthquake tomography. - Preliminary tomography in the Western US using
EarthScope Transportable Array data. - Conclusions.
17Group Speed Tomography Across Europe
I. Data processing was procedure applied to the
12-months of VEBSN data across Europe for 2004.
Phase 1. Pre-processing of single-station
data. Phase 2. Processing on station-pairs
cross-correlation and stacking. Phase 3.
Measure dispersion curves. Phase 4. Error
analysis and data selection. II. Data
processing was followed by tomography to produce
dispersion maps 8-50 sec period.
125 stations
Stations from the Virtual European Broad-Band
Seismic Network (VEBSN).
18Group Speed Maps Across Europe 12 sec
From CUB 3-D Model
19Group Speed Maps Across Europe 12 sec
Ambient Noise Tomography
1664 paths
20Group Speed Maps Across Europe 16 sec
From CUB 3-D Model
21Group Speed Maps Across Europe 16 sec
Ambient Noise Tomography
16 sec
3241 paths
22Group Speed Maps Across Europe 20 sec
From CUB 3-D Model
23Group Speed Maps Across Europe 20 sec
Ambient Noise Tomography
3057 paths
24Group Speed Maps Across Europe 30 sec
From CUB 3-D Model
25Group Speed Maps Across Europe 30 sec
Ambient Noise Tomography
2450 paths
26Group Speed Maps Across Europe 40 sec
From CUB 3-D Model
27Group Speed Maps Across Europe 40 sec
Ambient Noise Tomography
2760 paths
28Outline
- Ambient noise tomography data processing
procedure. - Estimated group speed maps across Europe.
- Evidence that the results are an improvement over
traditional surface-wave earthquake tomography. - Preliminary tomography in the Western US using
EarthScope Transportable Array data. - Conclusions.
29How do we Know if These Results are an
Improvement Over Traditional Earthquake
Tomography?
Various lines of evidence
- Agreement with known structures.
- e.g., sedimentary basins, crustal thickness.
- Repeatability of measurements.
- Seasonal variability is the basis for
uncertainty estimates on the measurements. - Coherence of measurements.
- Fit to ambient noise measurements during
tomography, compared with fit to earthquake based
measurements during tomography.
30Agreement with Location of Sedimentary Basins?
Observed 16 sec
Many of the basins across Europe are reflected in
the short period dispersion maps (e.g., 16 sec
here) N. Sea Basin, Silesian Basin (N.
Germany, Poland), Panonian Basin (Hungary,
Slovakia), Po Basin (N. Italy), Rhone
Basin (S. France), Basins in Adriatic and
Mediterranean Seas.
From Crust1.0, Laske et al.
31Agreement with Expected Crustal Thickness?
Observed 30 sec
Low speed anomalies across Europe are associated
with mountains belts, consistent with thickened
crust e.g., Alps, Balkans, Carpathians.
From Crust2.0, Laske et al.
32Coherence Among Measurements -- 12 sec period?
As measured by the ability to fit data sets when
doing tomography..
Misfit to Earthquake Measurements From
Earthquake Tomography
Misfit to Ambient Noise Measurements From
Ambient Noise Tomography
st dev 28.9 sec
st dev 15.0 sec
misfit (sec)
misfit (sec)
33Coherence Among Measurements -- 16 sec period?
As measured by the ability to fit data sets when
doing tomography..
Misfit to Ambient Noise Measurements From
Ambient Noise Tomography
Misfit to Earthquake Measurements From
Earthquake Tomography
st dev 12.6 sec
st dev 22.7 sec
misfit (sec)
misfit (sec)
34Coherence Among Measurements -- 20 sec period?
As measured by the ability to fit data sets when
doing tomography..
Misfit to Earthquake Measurements From
Earthquake Tomography
Misfit to Ambient Noise Measurements From
Ambient Noise Tomography
st dev 12.0 s
st dev 21.7 s
misfit (sec)
misfit (sec)
35Coherence Among Measurements -- 30 sec period?
As measured by the ability to fit data sets when
doing tomography..
Misfit to Ambient Noise Measurements From
Ambient Noise Tomography
Misfit to Earthquake Measurements From
Earthquake Tomography
st dev 12.2 s
st dev 18.1 s
misfit (sec)
misfit (sec)
36Coherence Among Measurements -- 40 sec period?
As measured by the ability to fit data sets when
doing tomography..
Misfit to Ambient Noise Measurements From
Ambient Noise Tomography
Misfit to Earthquake Measurements From
Earthquake Tomography
st dev 8.2 s
st dev 12.4 s
misfit (sec)
misfit (sec)
37Coherence Among Measurements -- Summary
As measured by the ability to fit data sets when
doing tomography..
Dispersion measurements from ambient noise are
more internally consistent than
measurements following earthquakes earthquake
measurements are difficult to obtain
below 20 sec, source processes,
mislocation, etc. are eliminated. Above 30
sec, earthquake measurements are about as
reliable as ambient noise measurements and the
data sets can be combined without degrading the
ambient noise measurements.
earthquakes
ambient noise
38Outline
- Ambient noise tomography data processing
procedure. - Estimated group speed maps across Europe.
- Evidence that the results are an improvement over
traditional surface-wave earthquake tomography. - Preliminary tomography in the Western US using
EarthScope Transportable Array data. - Conclusions.
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40Ambient Noise Tomography Across Europe
- Below 40 sec period, ambient noise surface wave
dispersion measurements across Europe are
generally more reliable than earthquake
dispersion measurements. - This is particularly true below 20 sec period,
where dispersion provides information about
crustal structure.
Earth is a noisy place!
41General Conclusions
- GT data bases (e.g., Engdahl Bergmans) will be
exceptionally valuable to validate an emerging
European Reference Model. - Surface waves are very useful in the construction
of reference models generally. Large-scale 3D
models (e.g., CUB) of the crust and upper mantle
constructed from surface wave data provide a good
start toward the European Reference Model. - Ambient noise tomography promises to improve
information from surface waves generally,
particularly about the crust. - In the context of the growing VEBBN, ambient
noise tomography will prove to be a powerful
method to aid in the development of the European
Reference Model.
42Principal Conclusions
- Earths Hum (bass section normal mode studies
250 s) possesses tenor, alto, and soprano
sections (lt 5 sec to gt 100 sec) useful for
surface wave tomography. - 2. Surface wave Green functions are extracted by
cross-correlating long noise sequences at two
stations. - 3. Ambient noise tomography improves the
resolution of the crust and upper mantle.
(USArray) - 4. Source of this noise (our signal) appears to
be oceanic. - 5. This noise is not truly ambient, but
possesses a strong directional component from
off-shore storms.
R. Weaver, Science, 2005
43Measurement Method Applied to a Pair of North
American Stations
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53Surface Wave Tomography from Ambient Seismic Noise
- Summary of the measurement procedure.
- Examples of cross-correlograms.
- Group speed maps from 12 - 40 sec.
- Determination of reliability
- Consistency with known structures,
- (e.g., Sedimentary basins, crustal thickness.
- Coherence among the measurements.
- Repeatability (not shown here).
R. Weaver, Science, 2005
54Station Coverage for Ambient Noise Tomography
Across Europe
Stations from the Virtual European Broad-Band
Seismic Network (VEBSN).
125 stations
55Measurement Procedure
N. Germany To N. Italy
- For each station pair, perform a
- series of narrow band-pass filters on each day
of data - 5-15, 10-25, 20-40, 33-66, 50-100, 70-150 sec.
- Perform temporal and spectral
- whitening of each time series.
56Measurement Procedure
N. Germany To N. Italy
- For each station pair, perform a
- series of narrow band-pass filters
- 5-15, 10-25, 20-40, 33-66, 50-100, 70-150 sec.
- Perform temporal and spectral
- whitening of each time series.
- Stack results in daily, monthly,
- tri-monthly, yearly increments.
Symmetric component of 1 year stack.
57Measurement Procedure
N. Germany To N. Italy
- For each station pair, perform a
- series of narrow band-pass filters
- 5-15, 10-25, 20-40, 33-66, 50-100, 70-150 sec.
- Perform temporal and spectral
- whitening of each time series.
- Stack results in daily, monthly,
- tri-monthly, yearly increments.
- Measure surface wave dispersion in each period
band.
Predicted curve from CUB model
58Example of Broad-Band Cross-Correlograms
Path N. Germany to Romania
1-year stack
time (sec/100)
59Sample Record Section
N. Italy to Stations Across Europe
33-66 sec, 1 year stack, symmetric component