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: Alexander, P.M., Tedesco, M., Schlegel, N.-J., Luthcke, S.B., Fettweis, X., Larour, E.
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:https://www.vliz.be/imisdocs/publications/302867.pdf
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spelling ftvliz:oai:oma.vliz.be:285718 2023-05-15T16:29:08+02:00 Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003-2012) Alexander, P.M. Tedesco, M. Schlegel, N.-J. Luthcke, S.B. Fettweis, X. Larour, E. 2016 application/pdf https://www.vliz.be/imisdocs/publications/302867.pdf en eng info:eu-repo/semantics/altIdentifier/wos/000379415500021 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.5194/tc-10-1259-2016 https://www.vliz.be/imisdocs/publications/302867.pdf info:eu-repo/semantics/openAccess %3Ci%3ECryosphere+10%283%29%3C%2Fi%3E%3A+1259-1277.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.5194%2Ftc-10-1259-2016%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.5194%2Ftc-10-1259-2016%3C%2Fa%3E info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2016 ftvliz https://doi.org/10.5194/tc-10-1259-2016 2022-05-01T10:50:30Z 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 observed differences. This highlights the need for further evaluation of modeled processes at regional and seasonal scales, and further study of ice sheet processes not accounted for, such as the role of subglacial hydrology in variations in glacial flow. Article in Journal/Newspaper Greenland Ice Sheet Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) Greenland The Cryosphere 10 3 1259 1277
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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 observed differences. This highlights the need for further evaluation of modeled processes at regional and seasonal scales, and further study of ice sheet processes not accounted for, such as the role of subglacial hydrology in variations in glacial flow.
format Article in Journal/Newspaper
author Alexander, P.M.
Tedesco, M.
Schlegel, N.-J.
Luthcke, S.B.
Fettweis, X.
Larour, E.
spellingShingle Alexander, P.M.
Tedesco, M.
Schlegel, N.-J.
Luthcke, S.B.
Fettweis, X.
Larour, E.
Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003-2012)
author_facet Alexander, P.M.
Tedesco, M.
Schlegel, N.-J.
Luthcke, S.B.
Fettweis, X.
Larour, E.
author_sort Alexander, P.M.
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)
publishDate 2016
url https://www.vliz.be/imisdocs/publications/302867.pdf
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
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