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

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 foc...

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Published in:The Cryosphere
Main Authors: P. M. Alexander, M. Tedesco, N.-J. Schlegel, S. B. Luthcke, X. Fettweis, E. Larour
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-10-1259-2016
http://www.the-cryosphere.net/10/1259/2016/tc-10-1259-2016.pdf
https://doaj.org/article/3716f53bd83741e59019616812647b00
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:3716f53bd83741e59019616812647b00 2023-05-15T16:29:00+02:00 Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012) P. M. Alexander M. Tedesco N.-J. Schlegel S. B. Luthcke X. Fettweis E. Larour 2016-06-01 https://doi.org/10.5194/tc-10-1259-2016 http://www.the-cryosphere.net/10/1259/2016/tc-10-1259-2016.pdf https://doaj.org/article/3716f53bd83741e59019616812647b00 en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-10-1259-2016 http://www.the-cryosphere.net/10/1259/2016/tc-10-1259-2016.pdf https://doaj.org/article/3716f53bd83741e59019616812647b00 undefined The Cryosphere, Vol 10, Iss 3, Pp 1259-1277 (2016) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.5194/tc-10-1259-2016 2023-01-22T19:23:00Z 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 lead to the ... Article in Journal/Newspaper Greenland Ice Sheet The Cryosphere Unknown Greenland The Cryosphere 10 3 1259 1277
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
P. M. Alexander
M. Tedesco
N.-J. Schlegel
S. B. Luthcke
X. Fettweis
E. Larour
Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012)
topic_facet geo
envir
description 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 lead to the ...
format Article in Journal/Newspaper
author P. M. Alexander
M. Tedesco
N.-J. Schlegel
S. B. Luthcke
X. Fettweis
E. Larour
author_facet P. M. Alexander
M. Tedesco
N.-J. Schlegel
S. B. Luthcke
X. Fettweis
E. Larour
author_sort P. M. Alexander
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 Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-1259-2016
http://www.the-cryosphere.net/10/1259/2016/tc-10-1259-2016.pdf
https://doaj.org/article/3716f53bd83741e59019616812647b00
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
The Cryosphere
genre_facet Greenland
Ice Sheet
The Cryosphere
op_source The Cryosphere, Vol 10, Iss 3, Pp 1259-1277 (2016)
op_relation 1994-0416
1994-0424
doi:10.5194/tc-10-1259-2016
http://www.the-cryosphere.net/10/1259/2016/tc-10-1259-2016.pdf
https://doaj.org/article/3716f53bd83741e59019616812647b00
op_rights undefined
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
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