Limits in detecting acceleration of ice sheet mass loss due to climate variability

The Greenland and Antarctic ice sheets have been reported to be losing mass at accelerating rates1, 2. If sustained, this accelerating mass loss will result in a global mean sea-level rise by the year 2100 that is approximately 43 cm greater than if a linear trend is assumed2. However, at present th...

Full description

Bibliographic Details
Published in:Nature Geoscience
Main Authors: Wouters, B., Bamber, J., van den Broeke, M., Lenaerts, J., Sasgen, I.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2013
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_247870
id ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_247870
record_format openpolar
spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_247870 2023-05-15T13:52:12+02:00 Limits in detecting acceleration of ice sheet mass loss due to climate variability Wouters, B. Bamber, J. van den Broeke, M. Lenaerts, J. Sasgen, I. 2013 https://gfzpublic.gfz-potsdam.de/pubman/item/item_247870 unknown info:eu-repo/semantics/altIdentifier/doi/10.1038/ngeo1874 https://gfzpublic.gfz-potsdam.de/pubman/item/item_247870 Nature Geoscience 550 - Earth sciences info:eu-repo/semantics/article 2013 ftgfzpotsdam https://doi.org/10.1038/ngeo1874 2022-09-14T05:55:09Z The Greenland and Antarctic ice sheets have been reported to be losing mass at accelerating rates1, 2. If sustained, this accelerating mass loss will result in a global mean sea-level rise by the year 2100 that is approximately 43 cm greater than if a linear trend is assumed2. However, at present there is no scientific consensus on whether these reported accelerations result from variability inherent to the ice-sheet–climate system, or reflect long-term changes and thus permit extrapolation to the future3. Here we compare mass loss trends and accelerations in satellite data collected between January 2003 and September 2012 from the Gravity Recovery and Climate Experiment to long-term mass balance time series from a regional surface mass balance model forced by re-analysis data. We find that the record length of spaceborne gravity observations is too short at present to meaningfully separate long-term accelerations from short-term ice sheet variability. We also find that the detection threshold of mass loss acceleration depends on record length: to detect an acceleration at an accuracy within ±10 Gt yr−2, a period of 10 years or more of observations is required for Antarctica and about 20 years for Greenland. Therefore, climate variability adds uncertainty to extrapolations of future mass loss and sea-level rise, underscoring the need for continuous long-term satellite monitoring. Article in Journal/Newspaper Antarc* Antarctic Antarctica Greenland Ice Sheet GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Antarctic Greenland Nature Geoscience 6 8 613 616
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language unknown
topic 550 - Earth sciences
spellingShingle 550 - Earth sciences
Wouters, B.
Bamber, J.
van den Broeke, M.
Lenaerts, J.
Sasgen, I.
Limits in detecting acceleration of ice sheet mass loss due to climate variability
topic_facet 550 - Earth sciences
description The Greenland and Antarctic ice sheets have been reported to be losing mass at accelerating rates1, 2. If sustained, this accelerating mass loss will result in a global mean sea-level rise by the year 2100 that is approximately 43 cm greater than if a linear trend is assumed2. However, at present there is no scientific consensus on whether these reported accelerations result from variability inherent to the ice-sheet–climate system, or reflect long-term changes and thus permit extrapolation to the future3. Here we compare mass loss trends and accelerations in satellite data collected between January 2003 and September 2012 from the Gravity Recovery and Climate Experiment to long-term mass balance time series from a regional surface mass balance model forced by re-analysis data. We find that the record length of spaceborne gravity observations is too short at present to meaningfully separate long-term accelerations from short-term ice sheet variability. We also find that the detection threshold of mass loss acceleration depends on record length: to detect an acceleration at an accuracy within ±10 Gt yr−2, a period of 10 years or more of observations is required for Antarctica and about 20 years for Greenland. Therefore, climate variability adds uncertainty to extrapolations of future mass loss and sea-level rise, underscoring the need for continuous long-term satellite monitoring.
format Article in Journal/Newspaper
author Wouters, B.
Bamber, J.
van den Broeke, M.
Lenaerts, J.
Sasgen, I.
author_facet Wouters, B.
Bamber, J.
van den Broeke, M.
Lenaerts, J.
Sasgen, I.
author_sort Wouters, B.
title Limits in detecting acceleration of ice sheet mass loss due to climate variability
title_short Limits in detecting acceleration of ice sheet mass loss due to climate variability
title_full Limits in detecting acceleration of ice sheet mass loss due to climate variability
title_fullStr Limits in detecting acceleration of ice sheet mass loss due to climate variability
title_full_unstemmed Limits in detecting acceleration of ice sheet mass loss due to climate variability
title_sort limits in detecting acceleration of ice sheet mass loss due to climate variability
publishDate 2013
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_247870
geographic Antarctic
Greenland
geographic_facet Antarctic
Greenland
genre Antarc*
Antarctic
Antarctica
Greenland
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
Greenland
Ice Sheet
op_source Nature Geoscience
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1038/ngeo1874
https://gfzpublic.gfz-potsdam.de/pubman/item/item_247870
op_doi https://doi.org/10.1038/ngeo1874
container_title Nature Geoscience
container_volume 6
container_issue 8
container_start_page 613
op_container_end_page 616
_version_ 1766256472132419584