Title: Analysis of Calving Seismicity from Taylor Glacier, Antarctica
1Analysis of Calving Seismicity from Taylor
Glacier, Antarctica
- Josh Carmichael
- Department of Earth and Space Sciences
- University of Washington, Seattle
2What 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
3What 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
4Calving 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
5Why 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!
6Why 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)
7The Array
1000 meters
8A Model for Calving Source Decomposition
- Pre-Calve Column loads glacier deformation time
scale 10 days damage evolution to crack
formation - Precursor events seismically similar
9A Model for Calving Source Decomposition
- Crack propagation along damaged-weakened regions
- Column unloads free surface
10A Model for Calving Source Decomposition
- Energy scattering from column collapse
incoherent, high frequency
Energy Scatter
11Problem 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
12Some 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
13Enter 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.
14Seismic Waves in Boring Media
S
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
15What 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
16The 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
17Seismic 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
18Examples 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
19Whats 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.
20What 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
21Summary 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
22Now For Some Data
- Ideas on how to Analyze the Data
23Time, 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
24Plan 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)
25Cross-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
26Structure 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
27Application 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?
28Organizing 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
29Polarization 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
30Polarization Data
rotated
Eigenvalue Ratios
Largest Eigenvectors
31Future 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)
32Summary
- 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
33Thanks To...
- Ken Creager
- Erin Pettit
- Matt Szundy
- Matt Hoffman
- Erin Whorton
- AMATH