Abstract
The transformation of snow into ice is a fundamental process in
glaciology. The yearly accumulation of fresh snowfall increases the
overburden pressure, changing the snow's properties such that it
transitions into firn and pure glacier ice thereafter. Therefore, firn
characteristics provide a tool for evaluating past and present climate
conditions relating to the amount of snow accumulation, melt,
temperature conditions and the subsequent preservation of the snow.
Due to the importance of relationships between firn and other
glaciological processes (e.g., deformation, recrystallization, settling,
and sublimation) it has not been possible to develop a
theoretically-based model which accurately predicts firn properties with
depth. Therefore, methods of measuring firn are either intrusive or rely
on (potentially unreliable) empirical conversions. Full Waveform
Inversion (FWI) may offer a new standard for glaciological seismic
modelling, mitigating issues within current seismic modelling techniques
and paving the way for the recovery of elastic properties, including
density.
Using seismic datasets obtained from both Norway's
Hardangerjøkulen Ice Cap and Pine Island Antarctica, we show how
FWI can mitigate the dependence on borehole/core techniques and
empirical relationships. Using seismic refractions and reflections, we
are able to arrive at an estimate for both subsurface acoustic and
elastic parameters which, when compared to ground truth data, show an
improvement from current seismic techniques.
Original language | English |
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Publication status | Published - 01 Dec 2019 |
Event | American Geophysical Union Fall Meeting - Moscone Convention Center, San Francisco, United States of America Duration: 09 Dec 2019 → 13 Dec 2019 Conference number: 2019 |
Conference
Conference | American Geophysical Union Fall Meeting |
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Abbreviated title | AGU |
Country/Territory | United States of America |
City | San Francisco |
Period | 09 Dec 2019 → 13 Dec 2019 |
Keywords
- 0702 Permafrost
- CRYOSPHERE
- 0738 Ice
- 0758 Remote sensing
- 0794 Instruments and techniques