Monitoring southwest Greenlands ice sheet melt with ambient seismic noise
The Greenland ice sheet presently accounts for ~70% of global ice sheet mass loss. Because this mass loss is associated with sea-level rise at a rate of 0.7 mm/year, the development of improved monitoring techniques to observe ongoing changes in ice sheet mass balance is of paramount concern. Spaceb...
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ftmit:oai:dspace.mit.edu:1721.1/102453 2023-06-11T04:12:17+02:00 Monitoring southwest Greenlands ice sheet melt with ambient seismic noise Mordret, Aurelien Mikesell, T. Dylan Harig, Christopher Lipovsky, Bradley P. Prieto Gomez, German A. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Mordret, Aurelien Mikesell, T. Dylan Prieto Gomez, German A. 2015-10 application/pdf http://hdl.handle.net/1721.1/102453 en_US eng American Association for the Advancement of Science (AAAS) http://dx.doi.org/10.1126/sciadv.1501538 Science Advances 2375-2548 http://hdl.handle.net/1721.1/102453 Mordret, A., T. D. Mikesell, C. Harig, B. P. Lipovsky, and G. A. Prieto. “Monitoring Southwest Greenlands Ice Sheet Melt with Ambient Seismic Noise.” Science Advances 2, no. 5 (May 6, 2016): e1501538–e1501538. orcid:0000-0002-7998-5417 Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ AAAS Article http://purl.org/eprint/type/JournalArticle 2015 ftmit https://doi.org/10.1126/sciadv.1501538 2023-05-29T07:31:07Z The Greenland ice sheet presently accounts for ~70% of global ice sheet mass loss. Because this mass loss is associated with sea-level rise at a rate of 0.7 mm/year, the development of improved monitoring techniques to observe ongoing changes in ice sheet mass balance is of paramount concern. Spaceborne mass balance techniques are commonly used; however, they are inadequate for many purposes because of their low spatial and/or temporal resolution. We demonstrate that small variations in seismic wave speed in Earth’s crust, as measured with the correlation of seismic noise, may be used to infer seasonal ice sheet mass balance. Seasonal loading and unloading of glacial mass induces strain in the crust, and these strains then result in seismic velocity changes due to poroelastic processes. Our method provides a new and independent way of monitoring (in near real time) ice sheet mass balance, yielding new constraints on ice sheet evolution and its contribution to global sea-level changes. An increased number of seismic stations in the vicinity of ice sheets will enhance our ability to create detailed space-time records of ice mass variations. National Science Foundation (U.S.) (Grant EAR-1415907) National Science Foundation (U.S.) (Award 1144883) Article in Journal/Newspaper Greenland Ice Sheet DSpace@MIT (Massachusetts Institute of Technology) Greenland Science Advances 2 5 e1501538 |
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DSpace@MIT (Massachusetts Institute of Technology) |
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English |
description |
The Greenland ice sheet presently accounts for ~70% of global ice sheet mass loss. Because this mass loss is associated with sea-level rise at a rate of 0.7 mm/year, the development of improved monitoring techniques to observe ongoing changes in ice sheet mass balance is of paramount concern. Spaceborne mass balance techniques are commonly used; however, they are inadequate for many purposes because of their low spatial and/or temporal resolution. We demonstrate that small variations in seismic wave speed in Earth’s crust, as measured with the correlation of seismic noise, may be used to infer seasonal ice sheet mass balance. Seasonal loading and unloading of glacial mass induces strain in the crust, and these strains then result in seismic velocity changes due to poroelastic processes. Our method provides a new and independent way of monitoring (in near real time) ice sheet mass balance, yielding new constraints on ice sheet evolution and its contribution to global sea-level changes. An increased number of seismic stations in the vicinity of ice sheets will enhance our ability to create detailed space-time records of ice mass variations. National Science Foundation (U.S.) (Grant EAR-1415907) National Science Foundation (U.S.) (Award 1144883) |
author2 |
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Mordret, Aurelien Mikesell, T. Dylan Prieto Gomez, German A. |
format |
Article in Journal/Newspaper |
author |
Mordret, Aurelien Mikesell, T. Dylan Harig, Christopher Lipovsky, Bradley P. Prieto Gomez, German A. |
spellingShingle |
Mordret, Aurelien Mikesell, T. Dylan Harig, Christopher Lipovsky, Bradley P. Prieto Gomez, German A. Monitoring southwest Greenlands ice sheet melt with ambient seismic noise |
author_facet |
Mordret, Aurelien Mikesell, T. Dylan Harig, Christopher Lipovsky, Bradley P. Prieto Gomez, German A. |
author_sort |
Mordret, Aurelien |
title |
Monitoring southwest Greenlands ice sheet melt with ambient seismic noise |
title_short |
Monitoring southwest Greenlands ice sheet melt with ambient seismic noise |
title_full |
Monitoring southwest Greenlands ice sheet melt with ambient seismic noise |
title_fullStr |
Monitoring southwest Greenlands ice sheet melt with ambient seismic noise |
title_full_unstemmed |
Monitoring southwest Greenlands ice sheet melt with ambient seismic noise |
title_sort |
monitoring southwest greenlands ice sheet melt with ambient seismic noise |
publisher |
American Association for the Advancement of Science (AAAS) |
publishDate |
2015 |
url |
http://hdl.handle.net/1721.1/102453 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
AAAS |
op_relation |
http://dx.doi.org/10.1126/sciadv.1501538 Science Advances 2375-2548 http://hdl.handle.net/1721.1/102453 Mordret, A., T. D. Mikesell, C. Harig, B. P. Lipovsky, and G. A. Prieto. “Monitoring Southwest Greenlands Ice Sheet Melt with Ambient Seismic Noise.” Science Advances 2, no. 5 (May 6, 2016): e1501538–e1501538. orcid:0000-0002-7998-5417 |
op_rights |
Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1126/sciadv.1501538 |
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Science Advances |
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2 |
container_issue |
5 |
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e1501538 |
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1768388027474771968 |