Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020
We use satellite and airborne altimetry to estimate annual mass changes of the Greenland Ice Sheet. We estimate ice loss corresponding to a sea-level rise of 6.9±0.4mm from April 2011 to April 2020, with a highest annual ice loss rate of 1.4mm/yr sea-level equivalent from April 2019 to April 2020. O...
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ftcdlib:oai:escholarship.org:ark:/13030/qt366232bs 2023-11-05T03:42:15+01:00 Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 Khan, Shfaqat A Bamber, Jonathan L Rignot, Eric Helm, Veit Aschwanden, Andy Holland, David M Broeke, Michiel King, Michalea Noël, Brice Truffer, Martin Humbert, Angelika Colgan, William Vijay, Saurabh Munneke, Peter Kuipers e2021jf006505 2022-04-01 application/pdf https://escholarship.org/uc/item/366232bs unknown eScholarship, University of California qt366232bs https://escholarship.org/uc/item/366232bs public Journal of Geophysical Research Earth Surface, vol 127, iss 4 Earth Sciences Physical Geography and Environmental Geoscience Climate Action Greenland Ice Sheet satellite altimetry mass loss ice dynamics vertical land motion surface mass balance Environmental sciences article 2022 ftcdlib 2023-10-09T18:04:08Z We use satellite and airborne altimetry to estimate annual mass changes of the Greenland Ice Sheet. We estimate ice loss corresponding to a sea-level rise of 6.9±0.4mm from April 2011 to April 2020, with a highest annual ice loss rate of 1.4mm/yr sea-level equivalent from April 2019 to April 2020. On a regional scale, our annual mass loss timeseries reveals 10-15m/yr dynamic thickening at the terminus of Jakobshavn Isbræ from April 2016 to April 2018, followed by a return to dynamic thinning. We observe contrasting patterns of mass loss acceleration in different basins across the ice sheet and suggest that these spatiotemporal trends could be useful for calibrating and validating prognostic ice sheet models. In addition to resolving the spatial and temporal fingerprint of Greenland's recent ice loss, these mass loss grids are key for partitioning contemporary elastic vertical land motion from longer-term glacial isostatic adjustment (GIA) trends at GPS stations around the ice sheet. Our ice-loss product results in a significantly different GIA interpretation from a previous ice-loss product. Article in Journal/Newspaper Greenland Ice Sheet Jakobshavn Jakobshavn isbræ University of California: eScholarship |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Earth Sciences Physical Geography and Environmental Geoscience Climate Action Greenland Ice Sheet satellite altimetry mass loss ice dynamics vertical land motion surface mass balance Environmental sciences |
spellingShingle |
Earth Sciences Physical Geography and Environmental Geoscience Climate Action Greenland Ice Sheet satellite altimetry mass loss ice dynamics vertical land motion surface mass balance Environmental sciences Khan, Shfaqat A Bamber, Jonathan L Rignot, Eric Helm, Veit Aschwanden, Andy Holland, David M Broeke, Michiel King, Michalea Noël, Brice Truffer, Martin Humbert, Angelika Colgan, William Vijay, Saurabh Munneke, Peter Kuipers Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 |
topic_facet |
Earth Sciences Physical Geography and Environmental Geoscience Climate Action Greenland Ice Sheet satellite altimetry mass loss ice dynamics vertical land motion surface mass balance Environmental sciences |
description |
We use satellite and airborne altimetry to estimate annual mass changes of the Greenland Ice Sheet. We estimate ice loss corresponding to a sea-level rise of 6.9±0.4mm from April 2011 to April 2020, with a highest annual ice loss rate of 1.4mm/yr sea-level equivalent from April 2019 to April 2020. On a regional scale, our annual mass loss timeseries reveals 10-15m/yr dynamic thickening at the terminus of Jakobshavn Isbræ from April 2016 to April 2018, followed by a return to dynamic thinning. We observe contrasting patterns of mass loss acceleration in different basins across the ice sheet and suggest that these spatiotemporal trends could be useful for calibrating and validating prognostic ice sheet models. In addition to resolving the spatial and temporal fingerprint of Greenland's recent ice loss, these mass loss grids are key for partitioning contemporary elastic vertical land motion from longer-term glacial isostatic adjustment (GIA) trends at GPS stations around the ice sheet. Our ice-loss product results in a significantly different GIA interpretation from a previous ice-loss product. |
format |
Article in Journal/Newspaper |
author |
Khan, Shfaqat A Bamber, Jonathan L Rignot, Eric Helm, Veit Aschwanden, Andy Holland, David M Broeke, Michiel King, Michalea Noël, Brice Truffer, Martin Humbert, Angelika Colgan, William Vijay, Saurabh Munneke, Peter Kuipers |
author_facet |
Khan, Shfaqat A Bamber, Jonathan L Rignot, Eric Helm, Veit Aschwanden, Andy Holland, David M Broeke, Michiel King, Michalea Noël, Brice Truffer, Martin Humbert, Angelika Colgan, William Vijay, Saurabh Munneke, Peter Kuipers |
author_sort |
Khan, Shfaqat A |
title |
Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 |
title_short |
Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 |
title_full |
Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 |
title_fullStr |
Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 |
title_full_unstemmed |
Greenland Mass Trends From Airborne and Satellite Altimetry During 2011–2020 |
title_sort |
greenland mass trends from airborne and satellite altimetry during 2011–2020 |
publisher |
eScholarship, University of California |
publishDate |
2022 |
url |
https://escholarship.org/uc/item/366232bs |
op_coverage |
e2021jf006505 |
genre |
Greenland Ice Sheet Jakobshavn Jakobshavn isbræ |
genre_facet |
Greenland Ice Sheet Jakobshavn Jakobshavn isbræ |
op_source |
Journal of Geophysical Research Earth Surface, vol 127, iss 4 |
op_relation |
qt366232bs https://escholarship.org/uc/item/366232bs |
op_rights |
public |
_version_ |
1781699236022190080 |