Increased variability in Greenland Ice Sheet runoff from satellite observations
Accurate assessments of ice-sheet runoff are essential for sea-level projections. A new method using satellite altimeter observations can provide near real-time surface mass balance measurements across an entire ice sheet and reveal runoff variability not captured by global climate models.
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ftdoajarticles:oai:doaj.org/article:865ed73caa244770acc6cbf0188f3b1e 2023-05-15T16:27:04+02:00 Increased variability in Greenland Ice Sheet runoff from satellite observations Thomas Slater Andrew Shepherd Malcolm McMillan Amber Leeson Lin Gilbert Alan Muir Peter Kuipers Munneke Brice Noël Xavier Fettweis Michiel van den Broeke Kate Briggs 2021-11-01T00:00:00Z https://doi.org/10.1038/s41467-021-26229-4 https://doaj.org/article/865ed73caa244770acc6cbf0188f3b1e EN eng Nature Portfolio https://doi.org/10.1038/s41467-021-26229-4 https://doaj.org/toc/2041-1723 doi:10.1038/s41467-021-26229-4 2041-1723 https://doaj.org/article/865ed73caa244770acc6cbf0188f3b1e Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021) Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41467-021-26229-4 2022-12-31T11:55:23Z Accurate assessments of ice-sheet runoff are essential for sea-level projections. A new method using satellite altimeter observations can provide near real-time surface mass balance measurements across an entire ice sheet and reveal runoff variability not captured by global climate models. Article in Journal/Newspaper Greenland Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland Nature Communications 12 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Science Q |
spellingShingle |
Science Q Thomas Slater Andrew Shepherd Malcolm McMillan Amber Leeson Lin Gilbert Alan Muir Peter Kuipers Munneke Brice Noël Xavier Fettweis Michiel van den Broeke Kate Briggs Increased variability in Greenland Ice Sheet runoff from satellite observations |
topic_facet |
Science Q |
description |
Accurate assessments of ice-sheet runoff are essential for sea-level projections. A new method using satellite altimeter observations can provide near real-time surface mass balance measurements across an entire ice sheet and reveal runoff variability not captured by global climate models. |
format |
Article in Journal/Newspaper |
author |
Thomas Slater Andrew Shepherd Malcolm McMillan Amber Leeson Lin Gilbert Alan Muir Peter Kuipers Munneke Brice Noël Xavier Fettweis Michiel van den Broeke Kate Briggs |
author_facet |
Thomas Slater Andrew Shepherd Malcolm McMillan Amber Leeson Lin Gilbert Alan Muir Peter Kuipers Munneke Brice Noël Xavier Fettweis Michiel van den Broeke Kate Briggs |
author_sort |
Thomas Slater |
title |
Increased variability in Greenland Ice Sheet runoff from satellite observations |
title_short |
Increased variability in Greenland Ice Sheet runoff from satellite observations |
title_full |
Increased variability in Greenland Ice Sheet runoff from satellite observations |
title_fullStr |
Increased variability in Greenland Ice Sheet runoff from satellite observations |
title_full_unstemmed |
Increased variability in Greenland Ice Sheet runoff from satellite observations |
title_sort |
increased variability in greenland ice sheet runoff from satellite observations |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doi.org/10.1038/s41467-021-26229-4 https://doaj.org/article/865ed73caa244770acc6cbf0188f3b1e |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021) |
op_relation |
https://doi.org/10.1038/s41467-021-26229-4 https://doaj.org/toc/2041-1723 doi:10.1038/s41467-021-26229-4 2041-1723 https://doaj.org/article/865ed73caa244770acc6cbf0188f3b1e |
op_doi |
https://doi.org/10.1038/s41467-021-26229-4 |
container_title |
Nature Communications |
container_volume |
12 |
container_issue |
1 |
_version_ |
1766016104999682048 |