Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)

peer reviewed Improving the ability of regional climate models (RCMs) and ice sheet models (ISMs) to simulate spatiotemporal variations in the mass of the Greenland Ice Sheet (GrIS) is crucial for prediction of future sea level rise. While several studies have examined recent trends in GrIS mass los...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: Alexander, P., Tedesco, M., Schlegel, N-J, Luthcke, S., Fettweis, Xavier, Larour, E.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus 2016
Subjects:
Online Access:https://orbi.uliege.be/handle/2268/198709
https://orbi.uliege.be/bitstream/2268/198709/1/tc-10-1259-2016.pdf
https://doi.org/10.5194/tc-10-1259-2016
id ftorbi:oai:orbi.ulg.ac.be:2268/198709
record_format openpolar
spelling ftorbi:oai:orbi.ulg.ac.be:2268/198709 2024-04-21T08:03:45+00:00 Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012) Alexander, P. Tedesco, M. Schlegel, N-J Luthcke, S. Fettweis, Xavier Larour, E. 2016-06-20 https://orbi.uliege.be/handle/2268/198709 https://orbi.uliege.be/bitstream/2268/198709/1/tc-10-1259-2016.pdf https://doi.org/10.5194/tc-10-1259-2016 en eng Copernicus http://www.the-cryosphere.net/10/1259/2016/ urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/198709 info:hdl:2268/198709 https://orbi.uliege.be/bitstream/2268/198709/1/tc-10-1259-2016.pdf doi:10.5194/tc-10-1259-2016 scopus-id:2-s2.0-84975801899 open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess The Cryosphere, 10, 1259-1277 (2016-06-20) Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2016 ftorbi https://doi.org/10.5194/tc-10-1259-2016 2024-03-27T14:58:15Z peer reviewed Improving the ability of regional climate models (RCMs) and ice sheet models (ISMs) to simulate spatiotemporal variations in the mass of the Greenland Ice Sheet (GrIS) is crucial for prediction of future sea level rise. While several studies have examined recent trends in GrIS mass loss, studies focusing on mass variations at sub-annual and sub-basin-wide scales are still lacking. At these scales, processes responsible for mass change are less well understood and modeled, and could potentially play an important role in future GrIS mass change. Here, we examine spatiotemporal variations in mass over the GrIS derived from the Gravity Recovery and Climate Experiment (GRACE) satellites for the January 2003–December 2012 period using a "mascon" approach, with a nominal spatial resolution of 100 km, and a temporal resolution of 10 days. We compare GRACE-estimated mass variations against those simulated by the Modèle Atmosphérique Régionale (MAR) RCM and the Ice Sheet System Model (ISSM). In order to properly compare spatial and temporal variations in GrIS mass from GRACE with model outputs, we find it necessary to spatially and temporally filter model results to reproduce leakage of mass inherent in the GRACE solution. Both modeled and satellite-derived results point to a decline (of −178.9 ± 4.4 and −239.4 ± 7.7 Gt yr−1 respectively) in GrIS mass over the period examined, but the models appear to underestimate the rate of mass loss, especially in areas below 2000 m in elevation, where the majority of recent GrIS mass loss is occurring. On an ice-sheet-wide scale, the timing of the modeled seasonal cycle of cumulative mass (driven by summer mass loss) agrees with the GRACE-derived seasonal cycle, within limits of uncertainty from the GRACE solution. However, on sub-ice-sheet-wide scales, some areas exhibit significant differences in the timing of peaks in the annual cycle of mass change. At these scales, model biases, or processes not accounted for by models related to ice dynamics or hydrology, may ... Article in Journal/Newspaper Greenland Ice Sheet The Cryosphere University of Liège: ORBi (Open Repository and Bibliography) The Cryosphere 10 3 1259 1277
institution Open Polar
collection University of Liège: ORBi (Open Repository and Bibliography)
op_collection_id ftorbi
language English
topic Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
spellingShingle Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
Alexander, P.
Tedesco, M.
Schlegel, N-J
Luthcke, S.
Fettweis, Xavier
Larour, E.
Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
topic_facet Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
description peer reviewed Improving the ability of regional climate models (RCMs) and ice sheet models (ISMs) to simulate spatiotemporal variations in the mass of the Greenland Ice Sheet (GrIS) is crucial for prediction of future sea level rise. While several studies have examined recent trends in GrIS mass loss, studies focusing on mass variations at sub-annual and sub-basin-wide scales are still lacking. At these scales, processes responsible for mass change are less well understood and modeled, and could potentially play an important role in future GrIS mass change. Here, we examine spatiotemporal variations in mass over the GrIS derived from the Gravity Recovery and Climate Experiment (GRACE) satellites for the January 2003–December 2012 period using a "mascon" approach, with a nominal spatial resolution of 100 km, and a temporal resolution of 10 days. We compare GRACE-estimated mass variations against those simulated by the Modèle Atmosphérique Régionale (MAR) RCM and the Ice Sheet System Model (ISSM). In order to properly compare spatial and temporal variations in GrIS mass from GRACE with model outputs, we find it necessary to spatially and temporally filter model results to reproduce leakage of mass inherent in the GRACE solution. Both modeled and satellite-derived results point to a decline (of −178.9 ± 4.4 and −239.4 ± 7.7 Gt yr−1 respectively) in GrIS mass over the period examined, but the models appear to underestimate the rate of mass loss, especially in areas below 2000 m in elevation, where the majority of recent GrIS mass loss is occurring. On an ice-sheet-wide scale, the timing of the modeled seasonal cycle of cumulative mass (driven by summer mass loss) agrees with the GRACE-derived seasonal cycle, within limits of uncertainty from the GRACE solution. However, on sub-ice-sheet-wide scales, some areas exhibit significant differences in the timing of peaks in the annual cycle of mass change. At these scales, model biases, or processes not accounted for by models related to ice dynamics or hydrology, may ...
format Article in Journal/Newspaper
author Alexander, P.
Tedesco, M.
Schlegel, N-J
Luthcke, S.
Fettweis, Xavier
Larour, E.
author_facet Alexander, P.
Tedesco, M.
Schlegel, N-J
Luthcke, S.
Fettweis, Xavier
Larour, E.
author_sort Alexander, P.
title Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
title_short Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
title_full Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
title_fullStr Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
title_full_unstemmed Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
title_sort greenland ice sheet seasonal and spatial mass variability from model simulations and grace (2003–2012)
publisher Copernicus
publishDate 2016
url https://orbi.uliege.be/handle/2268/198709
https://orbi.uliege.be/bitstream/2268/198709/1/tc-10-1259-2016.pdf
https://doi.org/10.5194/tc-10-1259-2016
genre Greenland
Ice Sheet
The Cryosphere
genre_facet Greenland
Ice Sheet
The Cryosphere
op_source The Cryosphere, 10, 1259-1277 (2016-06-20)
op_relation http://www.the-cryosphere.net/10/1259/2016/
urn:issn:1994-0416
urn:issn:1994-0424
https://orbi.uliege.be/handle/2268/198709
info:hdl:2268/198709
https://orbi.uliege.be/bitstream/2268/198709/1/tc-10-1259-2016.pdf
doi:10.5194/tc-10-1259-2016
scopus-id:2-s2.0-84975801899
op_rights open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-10-1259-2016
container_title The Cryosphere
container_volume 10
container_issue 3
container_start_page 1259
op_container_end_page 1277
_version_ 1796943474687213568