Analysis of Calving Seismicity from Taylor Glacier, Antarctica - PowerPoint PPT Presentation

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Analysis of Calving Seismicity from Taylor Glacier, Antarctica

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Analysis of Calving Seismicity from Taylor Glacier, Antarctica Josh Carmichael Department of Earth and Space Sciences University of Washington, Seattle – PowerPoint PPT presentation

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Title: Analysis of Calving Seismicity from Taylor Glacier, Antarctica


1
Analysis of Calving Seismicity from Taylor
Glacier, Antarctica
  • Josh Carmichael
  • Department of Earth and Space Sciences
  • University of Washington, Seattle

2
What I will tell You
  • Part I Introduction to the science
  • Calving what it is, why you should care
  • Seismology what it is, some theory, applied to
    glaciology
  • Problem Statement how to identify a calving
    event from a few seismometers
  • The Seismogram part path, part calving source
  • Calving source as a dislocation on a fault
  • Expressed features along the path from a source
    to a receiver

3
What I will tell You (cont)
  • Part II Analysis of Seismograms
  • Interlude Questions so far?
  • Cross Correlation of waveforms, what it is, what
    it might say
  • Polarization analysis direction energy comes
    from
  • Fourier Transforms of time series, power spectra,
    interpretation
  • Other ideas

4
Calving of Dry Land Glaciers
  • Calving The partial or full collapse of an ice
    shelfusually from free surface evolution
  • Illustration why read this slide when you can
    watch the movie
  • What you just saw
  • 10 days of visible buckling deformation, prior
    to calving
  • Complete calving gt 3 m thick ice column 35
    meters long in lt 1 day

5
Why Study Calving? (Who Cares?)
  • Climatologists, Glaciologists use Antarctica and
    Greenland to study climate change
  • Calving is the dominant mechanism for ice loss in
    Antarctica
  • Most models dont assume the existence of ice
    cliffs, let alone, calving ? bad
  • Need way to measure calving frequency!

6
Why Seismology can Help Calving ? Ground
Displacement
  • Calving events shake ice and ground ? E,N,Z
    recorded by seismograms
  • Sensor sample rate 200Hz
  • Instrumental temperature resilience operates to
    -40
  • IF calving seismicity is unambiguous ? can count
    events
  • Can estimate calving locations (inverse problem)

7
The Array
1000 meters
8
A Model for Calving Source Decomposition
  • Pre-Calve Column loads glacier deformation time
    scale 10 days damage evolution to crack
    formation
  • Precursor events seismically similar

9
A Model for Calving Source Decomposition
  • Crack propagation along damaged-weakened regions
  • Column unloads free surface

10
A Model for Calving Source Decomposition
  • Energy scattering from column collapse
    incoherent, high frequency

Energy Scatter
11
Problem Statement
  • Can a calving event be unambiguously identified
    in the seismic record?
  • Can it tell us about seasonal precursor events?
  • Bottom-Up Problem Seasonal calving statistics
    realizable given calving waveforms can be
    recognized

12
Some Basic Questions Concerning the Problem
  • What else excites the sensor?
  • Even if you know ice calved, is it distinct on
    the seismogram? (source uniqueness?)
  • The opposing question Will separate calving
    events look similiar? (well-posed?)
  • What does calving look like? (characterization) ?
    The big question

We will come back to this
13
Enter Non-Global Seismology
  • Experimental Seismology using ground motion
    records to infer structure, or nature of source
  • Detectable by seismometers helicopters, tides,
    landslides, lightening, anything that is loud
  • Seismograms ground motion waveforms (velocity
    usually what is really recorded).
  • Differences from global seismology less
    attenuation, rays sample local structure only,
    shorter wavelengths, tighter array coverage.

14
Seismic Waves in Boring Media
S
  • Equation of motion

x
S
V
Impulsive force
Greens function
mpq
From Bettis Rep. Thm. for an internal
dislocation on S
If you care ask me what a delta function
really is, or what LG d means rigorously, after
this talk
15
What Displacement Solutions Look Like
  • For an infinite, homogeneous, uniform medium,
    with no initial motion and a point dislocation
  • For half-space, with traction-free boundary
    conditions, with no initial motion or body forces

16
The Displacement Field Integral
Units of moment per unit area
Time shift ? convolution
Couple magnitude
xq
Integrand is inner product of 2nd and 3rd order
tensor result is vector
xp
  • The displacement field representation is a
    convolution of two tensorsa smoothing operation
  • The Greens function spatial derivative is
    physically a force couple, with moment arm in the
    xq direction

17
Seismic Waves in Boring Media (continued)
  • The point displacement on S determines
    displacement everywhere thru a convolution of the
    impulse responses derivative with the slip
    function
  • Interpretation Equivalent to a sum of force
    couples distributed over internal surface

x3
CLVD Moment Density Tensor
18
Examples of Moment Tensor Physical Realizations
  • Respectively, left to right (1) An explosion or
    implosion (2) The compensated linear vector
    dipole (3) mode III failure (4) mode II failure

19
Whats Seen by the Sensor
  • A seismogram is a convolution of the slip
    contribution and the source

W(t)
Green function source
Slip, material effects
  • Convolution theorem turns integration into
    multiplication, but freq. domain loses phase info.

20
What to Expect Beneath the Glacier and Sand
50m
30m
200m-500m
  • Sensors close to source see top layer effects
  • If we ignore deeper layering, ? must ignore
    arrivals corresponding to smaller ray parameters

21
Summary So Far
Seismogram for an internal dislocation in the ice
  • Same location ? events may differ only in source
  • Same source ? events may differ only in their
    path
  • ? Identical calving events at distinct locations
    have identical waveforms, minus the path
  • Frequency domain turns temporal convolution into
    multiplication

22
Now For Some Data
  • Ideas on how to Analyze the Data

23
Time, Location of a Calving Event
  • Broken tilt sensors and cables ? time of calving
  • GPS locations known
  • Search through record 10 days prior to total
    data loss

24
Plan Find Similar Waveforms from Same Location
  • From previous slides, we expect waveforms for
    similar events to match
  • We know from observation where the most actively
    calving region is
  • First off we find events that arrive _at_ the
    cliff-adjacent stations first and compare(no
    location necessary)

25
Cross-Correlation Test for Waveform Similarity
  • Global maxima of a the cross-correlated function
    ? value of t gives max. overlap
  • High correlation coefficient ? high waveform
    similarity

26
Structure Features or Source?
Closer station rich in high freq.
Distant station rich in lower freq.
Same Event
Common Spectral Amplitude
Most similar to calving event
  • Spectral peaks obvious on each station
  • Glacial spatial features, wave speed ? standing
    waves trapped in ice could have 23Hz peak

27
Application of Cross Correlation Categorizing
Waveforms
Vertical Component
R gt 0.97
Antarctic Day
Antarctic Day
Log vL2/vH2 vs. time
  • Is this all thermal skin cracking?
  • Is any of this actually calving?

28
Organizing Multiplets
  • Multiplet several events originating from the
    same location, separated temporally
  • Polarization The direction of particle motion
    for a wave seismic waves characterized by 3
    polarization vectors

29
Polarization Analysis of Multiplets
  • Construct a matrix of displacement in each
    direction
  • Form a 3x3 matrix
  • Perform an eigenvalue decomposition (SVD also
    permissible)
  • The magnitude of the eigenvalue ratio provides a
    measure of size of polarization axes

30
Polarization Data
rotated
Eigenvalue Ratios
Largest Eigenvectors
31
Future Directions (if any)
  • Model the calving of large ice columns near
    failure time (easy part)
  • Pre-Cursory event modeling of unstable cliff face
    (hard part)
  • Hard part involves multiple time scales
  • Ice wall deformation (50 days)
  • Crevasse opening (10 days)
  • Fault plane growth, generation ( 1 hour?)
  • Rupture ( 1 sec)

32
Summary
  • Calving is the most prominent form of ice loss
    from Antarctica
  • Sensors see u convolution of couple
    distribution over plane w/moment density and path
  • Data shows
  • Diurnal fluctuations in warm months of seismic
    activity
  • Waveforms may be categorized into similarity
    sets for discerning source differences
  • Polarization shows activity swarms from same
    direction

33
Thanks To...
  • Ken Creager
  • Erin Pettit
  • Matt Szundy
  • Matt Hoffman
  • Erin Whorton
  • AMATH
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