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Constraints on the Cryohydrological Warming of Firn and Ice in Greenland From Rayleigh Wave Ellipticity Data
Geophysical Research Letters, Volume: 50, Issue: 15
Swansea University Authors:
Bernd Kulessa , Glenn Jones
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DOI (Published version): 10.1029/2023gl103673
Abstract
Rayleigh wave ellipticity measurements from seismic ambient noise recorded on the Greenland Ice Sheet (GrIS) show complex and anomalous behaviour at wave periods sensitive to ice (T < 3–4 s). To understand these complex observations, we compare them with synthetic ellipticity measurements obtaine...
Published in: | Geophysical Research Letters |
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ISSN: | 0094-8276 1944-8007 |
Published: |
American Geophysical Union (AGU)
2023
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa63708 |
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Abstract: |
Rayleigh wave ellipticity measurements from seismic ambient noise recorded on the Greenland Ice Sheet (GrIS) show complex and anomalous behaviour at wave periods sensitive to ice (T < 3–4 s). To understand these complex observations, we compare them with synthetic ellipticity measurements obtained from synthetic ambient noise computed for various seismic velocity and attenuation models, including surface wave overtone effects. We find that in dry snow conditions within the interior of the GrIS, to first order the anomalous ellipticity observations can be explained by ice models associated with the accumulation and densification of snow into firn. We also show that the distribution of ellipticity measurements is strongly sensitive to seismic attenuation and the thermal structure of the ice. Our results suggest that Rayleigh wave ellipticity is well suited for monitoring changes in firn properties and thermal composition of the Greenland and Antarctic ice sheets in a changing climate. |
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Item Description: |
In Press 2023 |
College: |
Faculty of Science and Engineering |
Funders: |
G.A.J. is funded by the Sˆer Cymru II Program in Low Carbon Energy and the Environment (European Regional Development Fund and Welsh European Funding Office; Project number 80761-SU-SU093). A.M.G.F. is grateful to support from NERC grant NE/N011791/1.
M.S. thanks SANIMS (RTI2018-095594-B-I00). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 101001601). |
Issue: |
15 |