Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models

The largest uncertainty in projections of future sea-level change results from the potentially changing dynamical ice discharge from Antarctica. Basal ice-shelf melting induced by a warming ocean has been identified as a major cause for additional ice flow across the grounding line. Here we attempt...

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Main Authors: Levermann, A., Winkelmann, R., Nowicki, S., Fastook, J.L., Frieler, K., Greve, R., Hellmer, H.H., Martin, M.A., Meinshausen, M., Mengel, M., Payne, A.J., Pollard, D., Sato, T., Timmermann, R., Wang, W.L., Bindschadler, R.A.
Format: Article in Journal/Newspaper
Language:English
Published: München : European Geopyhsical Union 2014
Subjects:
500
Online Access:https://doi.org/10.34657/348
https://oa.tib.eu/renate/handle/123456789/3900
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spelling ftleibnizopen:oai:oai.leibnizopen.de:RdJDfYoBNQPDO7WIzm_k 2023-10-09T21:47:01+02:00 Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models Levermann, A. Winkelmann, R. Nowicki, S. Fastook, J.L. Frieler, K. Greve, R. Hellmer, H.H. Martin, M.A. Meinshausen, M. Mengel, M. Payne, A.J. Pollard, D. Sato, T. Timmermann, R. Wang, W.L. Bindschadler, R.A. 2014 application/pdf https://doi.org/10.34657/348 https://oa.tib.eu/renate/handle/123456789/3900 eng eng München : European Geopyhsical Union CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ Earth System Dynamics, Volume 5, Issue 2, Page 271-293 Climate change Glaciers Greenhouse gases Melting Probability distributions Sea level Time delay Uncertainty analysis 500 article Text 2014 ftleibnizopen https://doi.org/10.34657/348 2023-09-10T23:34:39Z The largest uncertainty in projections of future sea-level change results from the potentially changing dynamical ice discharge from Antarctica. Basal ice-shelf melting induced by a warming ocean has been identified as a major cause for additional ice flow across the grounding line. Here we attempt to estimate the uncertainty range of future ice discharge from Antarctica by combining uncertainty in the climatic forcing, the oceanic response and the ice-sheet model response. The uncertainty in the global mean temperature increase is obtained from historically constrained emulations with the MAGICC-6.0 (Model for the Assessment of Greenhouse gas Induced Climate Change) model. The oceanic forcing is derived from scaling of the subsurface with the atmospheric warming from 19 comprehensive climate models of the Coupled Model Intercomparison Project (CMIP-5) and two ocean models from the EU-project Ice2Sea. The dynamic ice-sheet response is derived from linear response functions for basal ice-shelf melting for four different Antarctic drainage regions using experiments from the Sea-level Response to Ice Sheet Evolution (SeaRISE) intercomparison project with five different Antarctic ice-sheet models. The resulting uncertainty range for the historic Antarctic contribution to global sea-level rise from 1992 to 2011 agrees with the observed contribution for this period if we use the three ice-sheet models with an explicit representation of ice-shelf dynamics and account for the time-delayed warming of the oceanic subsurface compared to the surface air temperature. The median of the additional ice loss for the 21st century is computed to 0.07 m (66% range: 0.02–0.14 m; 90% range: 0.0–0.23 m) of global sea-level equivalent for the low-emission RCP-2.6 (Representative Concentration Pathway) scenario and 0.09 m (66% range: 0.04–0.21 m; 90% range: 0.01–0.37 m) for the strongest RCP-8.5. Assuming no time delay between the atmospheric warming and the oceanic subsurface, these values increase to 0.09 m (66% range: 0.04–0.17 m; ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Ice Shelf LeibnizOpen (The Leibniz Association) Antarctic
institution Open Polar
collection LeibnizOpen (The Leibniz Association)
op_collection_id ftleibnizopen
language English
topic Climate change
Glaciers
Greenhouse gases
Melting
Probability distributions
Sea level
Time delay
Uncertainty analysis
500
spellingShingle Climate change
Glaciers
Greenhouse gases
Melting
Probability distributions
Sea level
Time delay
Uncertainty analysis
500
Levermann, A.
Winkelmann, R.
Nowicki, S.
Fastook, J.L.
Frieler, K.
Greve, R.
Hellmer, H.H.
Martin, M.A.
Meinshausen, M.
Mengel, M.
Payne, A.J.
Pollard, D.
Sato, T.
Timmermann, R.
Wang, W.L.
Bindschadler, R.A.
Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models
topic_facet Climate change
Glaciers
Greenhouse gases
Melting
Probability distributions
Sea level
Time delay
Uncertainty analysis
500
description The largest uncertainty in projections of future sea-level change results from the potentially changing dynamical ice discharge from Antarctica. Basal ice-shelf melting induced by a warming ocean has been identified as a major cause for additional ice flow across the grounding line. Here we attempt to estimate the uncertainty range of future ice discharge from Antarctica by combining uncertainty in the climatic forcing, the oceanic response and the ice-sheet model response. The uncertainty in the global mean temperature increase is obtained from historically constrained emulations with the MAGICC-6.0 (Model for the Assessment of Greenhouse gas Induced Climate Change) model. The oceanic forcing is derived from scaling of the subsurface with the atmospheric warming from 19 comprehensive climate models of the Coupled Model Intercomparison Project (CMIP-5) and two ocean models from the EU-project Ice2Sea. The dynamic ice-sheet response is derived from linear response functions for basal ice-shelf melting for four different Antarctic drainage regions using experiments from the Sea-level Response to Ice Sheet Evolution (SeaRISE) intercomparison project with five different Antarctic ice-sheet models. The resulting uncertainty range for the historic Antarctic contribution to global sea-level rise from 1992 to 2011 agrees with the observed contribution for this period if we use the three ice-sheet models with an explicit representation of ice-shelf dynamics and account for the time-delayed warming of the oceanic subsurface compared to the surface air temperature. The median of the additional ice loss for the 21st century is computed to 0.07 m (66% range: 0.02–0.14 m; 90% range: 0.0–0.23 m) of global sea-level equivalent for the low-emission RCP-2.6 (Representative Concentration Pathway) scenario and 0.09 m (66% range: 0.04–0.21 m; 90% range: 0.01–0.37 m) for the strongest RCP-8.5. Assuming no time delay between the atmospheric warming and the oceanic subsurface, these values increase to 0.09 m (66% range: 0.04–0.17 m; ...
format Article in Journal/Newspaper
author Levermann, A.
Winkelmann, R.
Nowicki, S.
Fastook, J.L.
Frieler, K.
Greve, R.
Hellmer, H.H.
Martin, M.A.
Meinshausen, M.
Mengel, M.
Payne, A.J.
Pollard, D.
Sato, T.
Timmermann, R.
Wang, W.L.
Bindschadler, R.A.
author_facet Levermann, A.
Winkelmann, R.
Nowicki, S.
Fastook, J.L.
Frieler, K.
Greve, R.
Hellmer, H.H.
Martin, M.A.
Meinshausen, M.
Mengel, M.
Payne, A.J.
Pollard, D.
Sato, T.
Timmermann, R.
Wang, W.L.
Bindschadler, R.A.
author_sort Levermann, A.
title Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models
title_short Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models
title_full Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models
title_fullStr Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models
title_full_unstemmed Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models
title_sort projecting antarctic ice discharge using response functions from searise ice-sheet models
publisher München : European Geopyhsical Union
publishDate 2014
url https://doi.org/10.34657/348
https://oa.tib.eu/renate/handle/123456789/3900
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
Ice Sheet
Ice Shelf
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
Ice Shelf
op_source Earth System Dynamics, Volume 5, Issue 2, Page 271-293
op_rights CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.34657/348
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