GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet
peer reviewed Observations and models agree that the Greenland Ice Sheet (GrIS) surface mass balance (SMB) has decreased since the end of the 1990s due to an increase in meltwater runoff and that this trend will accelerate in the future. However, large uncertainties remain, partly due to different a...
Published in: | The Cryosphere |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus
2020
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Online Access: | https://orbi.uliege.be/handle/2268/252449 https://orbi.uliege.be/bitstream/2268/252449/1/Fettweis-2020-TC%20%28GRD%2cSMBMIP%29.pdf https://doi.org/10.5194/tc-14-3935-2020 |
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ftorbi:oai:orbi.ulg.ac.be:2268/252449 2024-04-21T08:03:45+00:00 GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet Fettweis, Xavier Hofer, S. Krebs-Kanzow, U. Amory, Charles Aoki, T. Berends, C. Born, A. Box, J. Delhasse, Alison Fujita, K. Gierz, P. Goelzer, H. Hanna, E. Hashimoto, A. Huybrechts, P. Kapsch, M. King, M. Kittel, Christoph Lang, Charlotte Langen, P. Lenaerts, J. Liston, G. Lohmann, G. Mernild, S. Mikolajewicz, U. Modali, K. Mottram, R. Niwano, M. Noël, Brice Ryan, J. Smith, A. Streffing, J. Tedesco, M. Jan van de Berg, W. van den Broeke, M. van de Wal, R. van Kampenhout, L. Wilton, D. Wouters, B. Ziemen, F. Zolles, T. Sphères - SPHERES 2020-11-11 https://orbi.uliege.be/handle/2268/252449 https://orbi.uliege.be/bitstream/2268/252449/1/Fettweis-2020-TC%20%28GRD%2cSMBMIP%29.pdf https://doi.org/10.5194/tc-14-3935-2020 en eng Copernicus https://tc.copernicus.org/articles/14/3935/2020/ urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/252449 info:hdl:2268/252449 https://orbi.uliege.be/bitstream/2268/252449/1/Fettweis-2020-TC%20%28GRD%2cSMBMIP%29.pdf doi:10.5194/tc-14-3935-2020 scopus-id:2-s2.0-85096239595 open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess The Cryosphere, 14, 3935–3958 (2020-11-11) 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 2020 ftorbi https://doi.org/10.5194/tc-14-3935-2020 2024-03-27T14:58:15Z peer reviewed Observations and models agree that the Greenland Ice Sheet (GrIS) surface mass balance (SMB) has decreased since the end of the 1990s due to an increase in meltwater runoff and that this trend will accelerate in the future. However, large uncertainties remain, partly due to different approaches for modelling the GrIS SMB, which have to weigh physical complexity or low computing time, different spatial and temporal resolutions, different forcing fields, and different ice sheet topographies and extents, which collectively make an inter-comparison difficult. Our GrIS SMB model intercomparison project (GrSMBMIP) aims to refine these uncertainties by intercomparing 13 models of four types which were forced with the same ERA-Interim reanalysis forcing fields, except for two global models. We interpolate all modelled SMB fields onto a common ice sheet mask at 1 km horizontal resolution for the period 1980–2012 and score the outputs against (1) SMB estimates from a combination of gravimetric remote sensing data from GRACE and measured ice discharge; (2) ice cores, snow pits and in situ SMB observations; and (3) remotely sensed bare ice extent from MODerate-resolution Imaging Spectroradiometer (MODIS). Spatially, the largest spread among models can be found around the margins of the ice sheet, highlighting model deficiencies in an accurate representation of the GrIS ablation zone extent and processes related to surface melt and runoff. Overall, polar regional climate models (RCMs) perform the best compared to observations, in particular for simulating precipitation patterns. However, other simpler and faster models have biases of the same order as RCMs compared with observations and therefore remain useful tools for long-term simulations or coupling with ice sheet models. Finally, it is interesting to note that the ensemble mean of the 13 models produces the best estimate of the present-day SMB relative to observations, suggesting that biases are not systematic among models and that this ensemble estimate ... Article in Journal/Newspaper Greenland Ice Sheet The Cryosphere University of Liège: ORBi (Open Repository and Bibliography) The Cryosphere 14 11 3935 3958 |
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 Fettweis, Xavier Hofer, S. Krebs-Kanzow, U. Amory, Charles Aoki, T. Berends, C. Born, A. Box, J. Delhasse, Alison Fujita, K. Gierz, P. Goelzer, H. Hanna, E. Hashimoto, A. Huybrechts, P. Kapsch, M. King, M. Kittel, Christoph Lang, Charlotte Langen, P. Lenaerts, J. Liston, G. Lohmann, G. Mernild, S. Mikolajewicz, U. Modali, K. Mottram, R. Niwano, M. Noël, Brice Ryan, J. Smith, A. Streffing, J. Tedesco, M. Jan van de Berg, W. van den Broeke, M. van de Wal, R. van Kampenhout, L. Wilton, D. Wouters, B. Ziemen, F. Zolles, T. GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet |
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 Observations and models agree that the Greenland Ice Sheet (GrIS) surface mass balance (SMB) has decreased since the end of the 1990s due to an increase in meltwater runoff and that this trend will accelerate in the future. However, large uncertainties remain, partly due to different approaches for modelling the GrIS SMB, which have to weigh physical complexity or low computing time, different spatial and temporal resolutions, different forcing fields, and different ice sheet topographies and extents, which collectively make an inter-comparison difficult. Our GrIS SMB model intercomparison project (GrSMBMIP) aims to refine these uncertainties by intercomparing 13 models of four types which were forced with the same ERA-Interim reanalysis forcing fields, except for two global models. We interpolate all modelled SMB fields onto a common ice sheet mask at 1 km horizontal resolution for the period 1980–2012 and score the outputs against (1) SMB estimates from a combination of gravimetric remote sensing data from GRACE and measured ice discharge; (2) ice cores, snow pits and in situ SMB observations; and (3) remotely sensed bare ice extent from MODerate-resolution Imaging Spectroradiometer (MODIS). Spatially, the largest spread among models can be found around the margins of the ice sheet, highlighting model deficiencies in an accurate representation of the GrIS ablation zone extent and processes related to surface melt and runoff. Overall, polar regional climate models (RCMs) perform the best compared to observations, in particular for simulating precipitation patterns. However, other simpler and faster models have biases of the same order as RCMs compared with observations and therefore remain useful tools for long-term simulations or coupling with ice sheet models. Finally, it is interesting to note that the ensemble mean of the 13 models produces the best estimate of the present-day SMB relative to observations, suggesting that biases are not systematic among models and that this ensemble estimate ... |
author2 |
Sphères - SPHERES |
format |
Article in Journal/Newspaper |
author |
Fettweis, Xavier Hofer, S. Krebs-Kanzow, U. Amory, Charles Aoki, T. Berends, C. Born, A. Box, J. Delhasse, Alison Fujita, K. Gierz, P. Goelzer, H. Hanna, E. Hashimoto, A. Huybrechts, P. Kapsch, M. King, M. Kittel, Christoph Lang, Charlotte Langen, P. Lenaerts, J. Liston, G. Lohmann, G. Mernild, S. Mikolajewicz, U. Modali, K. Mottram, R. Niwano, M. Noël, Brice Ryan, J. Smith, A. Streffing, J. Tedesco, M. Jan van de Berg, W. van den Broeke, M. van de Wal, R. van Kampenhout, L. Wilton, D. Wouters, B. Ziemen, F. Zolles, T. |
author_facet |
Fettweis, Xavier Hofer, S. Krebs-Kanzow, U. Amory, Charles Aoki, T. Berends, C. Born, A. Box, J. Delhasse, Alison Fujita, K. Gierz, P. Goelzer, H. Hanna, E. Hashimoto, A. Huybrechts, P. Kapsch, M. King, M. Kittel, Christoph Lang, Charlotte Langen, P. Lenaerts, J. Liston, G. Lohmann, G. Mernild, S. Mikolajewicz, U. Modali, K. Mottram, R. Niwano, M. Noël, Brice Ryan, J. Smith, A. Streffing, J. Tedesco, M. Jan van de Berg, W. van den Broeke, M. van de Wal, R. van Kampenhout, L. Wilton, D. Wouters, B. Ziemen, F. Zolles, T. |
author_sort |
Fettweis, Xavier |
title |
GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet |
title_short |
GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet |
title_full |
GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet |
title_fullStr |
GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet |
title_full_unstemmed |
GrSMBMIP: intercomparison of the modelled 1980–2012 surface mass balance over the Greenland Ice Sheet |
title_sort |
grsmbmip: intercomparison of the modelled 1980–2012 surface mass balance over the greenland ice sheet |
publisher |
Copernicus |
publishDate |
2020 |
url |
https://orbi.uliege.be/handle/2268/252449 https://orbi.uliege.be/bitstream/2268/252449/1/Fettweis-2020-TC%20%28GRD%2cSMBMIP%29.pdf https://doi.org/10.5194/tc-14-3935-2020 |
genre |
Greenland Ice Sheet The Cryosphere |
genre_facet |
Greenland Ice Sheet The Cryosphere |
op_source |
The Cryosphere, 14, 3935–3958 (2020-11-11) |
op_relation |
https://tc.copernicus.org/articles/14/3935/2020/ urn:issn:1994-0416 urn:issn:1994-0424 https://orbi.uliege.be/handle/2268/252449 info:hdl:2268/252449 https://orbi.uliege.be/bitstream/2268/252449/1/Fettweis-2020-TC%20%28GRD%2cSMBMIP%29.pdf doi:10.5194/tc-14-3935-2020 scopus-id:2-s2.0-85096239595 |
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-14-3935-2020 |
container_title |
The Cryosphere |
container_volume |
14 |
container_issue |
11 |
container_start_page |
3935 |
op_container_end_page |
3958 |
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1796943475532365824 |