Overshooting the critical threshold for the Greenland ice sheet.


Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 20 01 2023
accepted: 28 07 2023
medline: 23 10 2023
pubmed: 19 10 2023
entrez: 18 10 2023
Statut: ppublish

Résumé

Melting of the Greenland ice sheet (GrIS) in response to anthropogenic global warming poses a severe threat in terms of global sea-level rise (SLR)

Identifiants

pubmed: 37853149
doi: 10.1038/s41586-023-06503-9
pii: 10.1038/s41586-023-06503-9
pmc: PMC10584691
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

528-536

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2023. The Author(s).

Références

IPCC: Summary for Policymakers. In Climate Change 2021: Mitigation of Climate Change (eds Allan, R. P. et al.) (Cambridge Univ. Press, 2021).
Levermann, A. & Winkelmann, R. A simple equation for the melt elevation feedback of ice sheets. Cryosphere 10, 1799–1807 (2016).
doi: 10.5194/tc-10-1799-2016
Aschwanden, A. et al. Contribution of the Greenland Ice Sheet to sea level over the next millennium. Sci. Adv. 5, eaav9396 (2019).
pubmed: 31223652 pmcid: 6584365 doi: 10.1126/sciadv.aav9396
Pattyn, F. et al. The Greenland and Antarctic ice sheets under 1.5 °C global warming. Nat. Clim. Change 8, 1053–1061 (2018).
doi: 10.1038/s41558-018-0305-8
Gregory, J. M., George, S. E. & Smith, R. S. Large and irreversible future decline of the Greenland ice sheet. Cryosphere 14, 4299–4322 (2020).
doi: 10.5194/tc-14-4299-2020
Robinson, A., Calov, R. & Ganopolski, A. Multistability and critical thresholds of the Greenland ice sheet. Nat. Clim. Change 2, 429–432 (2012).
doi: 10.1038/nclimate1449
Rietbroek, R., Brunnabend, S.-E., Kusche, J., Schröter, J. & Dahle, C. Revisiting the contemporary sea-level budget on global and regional scales. Proc. Natl Acad. Sci. USA 113, 1504–1509 (2016).
pubmed: 26811469 pmcid: 4760811 doi: 10.1073/pnas.1519132113
Armstrong McKay, D. I. et al. Exceeding 1.5°C global warming could trigger multiple climate tipping points. Science 377, eabn7950 (2022).
pubmed: 36074831 doi: 10.1126/science.abn7950
Gregory, J. M., Huybrechts, P. & Raper, S. C. B. Threatened loss of the Greenland ice-sheet. Nature 428, 616–616 (2004).
pubmed: 15071587 doi: 10.1038/428616a
Goelzer, H. et al. The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6. Cryosphere 14, 3071–3096 (2020).
doi: 10.5194/tc-14-3071-2020
Seroussi, H. et al. ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century. Cryosphere 14, 3033–3070 (2020).
doi: 10.5194/tc-14-3033-2020
Edwards, T. L. et al. Projected land ice contributions to twenty-first-century sea level rise. Nature 593, 74–82 (2021).
pubmed: 33953415 doi: 10.1038/s41586-021-03302-y
Jackson, L. C. et al. Global and European climate impacts of a slowdown of the AMOC in a high resolution GCM. Clim. Dyn. 45, 3299–3316 (2015).
doi: 10.1007/s00382-015-2540-2
Caesar, L., Rahmstorf, S., Robinson, A., Feulner, G. & Saba, V. Observed fingerprint of a weakening Atlantic Ocean overturning circulation. Nature 556, 191–196 (2018).
pubmed: 29643485 doi: 10.1038/s41586-018-0006-5
Boers, N. Observation-based early-warning signals for a collapse of the Atlantic Meridional Overturning Circulation. Nat. Clim. Change 11, 680–688 (2021).
doi: 10.1038/s41558-021-01097-4
Boers, N., Ghil, M. & Stocker, T. F. Theoretical and paleoclimatic evidence for abrupt transitions in the Earth system. Environ. Res. Lett. 17, 093006 (2022).
doi: 10.1088/1748-9326/ac8944
Trusel, L. D. et al. Nonlinear rise in Greenland runoff in response to post-industrial Arctic warming. Nature 564, 104–108 (2018).
pubmed: 30518887 doi: 10.1038/s41586-018-0752-4
Boers, N. & Rypdal, M. Critical slowing down suggests that the western Greenland Ice Sheet is close to a tipping point. Proc. Natl Acad. Sci. USA 118, e2024192118 (2021).
pubmed: 34001613 pmcid: 8166178 doi: 10.1073/pnas.2024192118
Rogelj, J. et al. Energy system transformations for limiting end-of-century warming to below 1.5 °C. Nat. Clim. Change 5, 519–527 (2015).
doi: 10.1038/nclimate2572
Raftery, A. E., Zimmer, A., Frierson, D. M. W., Startz, R. & Liu, P. Less than 2 °C warming by 2100 unlikely. Nat. Clim. Change 7, 637–641 (2017).
doi: 10.1038/nclimate3352
Tong, D. et al. Committed emissions from existing energy infrastructure jeopardize 1.5 °C climate target. Nature 572, 373–377 (2019).
pubmed: 31261374 pmcid: 6697221 doi: 10.1038/s41586-019-1364-3
Azar, C., Johansson, D. J. A. & Mattsson, N. Meeting global temperature targets—the role of bioenergy with carbon capture and storage. Environ. Res. Lett. 8, 034004 (2013).
doi: 10.1088/1748-9326/8/3/034004
Ritchie, P. D. L., Clarke, J. J., Cox, P. M. & Huntingford, C. Overshooting tipping point thresholds in a changing climate. Nature 592, 517–523 (2021).
pubmed: 33883733 doi: 10.1038/s41586-021-03263-2
Winkelmann, R. et al. The Potsdam Parallel Ice Sheet Model (PISM-PIK) – part 1: model description. Cryosphere 5, 715–726 (2011).
doi: 10.5194/tc-5-715-2011
Zeitz, M., Reese, R., Beckmann, J., Krebs-Kanzow, U. & Winkelmann, R. Impact of the melt–albedo feedback on the future evolution of the Greenland Ice Sheet with PISM-dEBM-simple. Cryosphere 15, 5739–5764 (2021).
doi: 10.5194/tc-15-5739-2021
Robinson, A. et al. Description and validation of the ice-sheet model Yelmo (version 1.0). Geosci. Model Dev. 13, 2805–2823 (2020).
doi: 10.5194/gmd-13-2805-2020
Robinson, A., Calov, R. & Ganopolski, A. An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change. Cryosphere 4, 129–144 (2010).
doi: 10.5194/tc-4-129-2010
Tabone, I., Blasco, J., Robinson, A., Alvarez-Solas, J. & Montoya, M. The sensitivity of the Greenland Ice Sheet to glacial–interglacial oceanic forcing. Clim. Past 14, 455–472 (2018).
doi: 10.5194/cp-14-455-2018
Blasco, J., Tabone, I., Alvarez-Solas, J., Robinson, A. & Montoya, M. The Antarctic Ice Sheet response to glacial millennial-scale variability. Clim. Past 15, 121–133 (2019).
doi: 10.5194/cp-15-121-2019
Garbe, J., Albrecht, T., Levermann, A., Donges, J. F. & Winkelmann, R. The hysteresis of the Antarctic Ice Sheet. Nature 585, 538–544 (2020).
pubmed: 32968257 doi: 10.1038/s41586-020-2727-5
Albrecht, T., Winkelmann, R. & Levermann, A. Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – part 2: parameter ensemble analysis. Cryosphere 14, 633–656 (2020).
doi: 10.5194/tc-14-633-2020
Garbe, J., Zeitz, M., Krebs-Kanzow, U. & Winkelmann, R. The evolution of future Antarctic surface melt using PISM-dEBM-simple. Cryosphere Discuss. https://doi.org/10.5194/tc-2022-249 (2023).
Solgaard, A. M. & Langen, P. L. Multistability of the Greenland ice sheet and the effects of an adaptive mass balance formulation. Clim. Dyn. 39, 1599–1612 (2012).
doi: 10.1007/s00382-012-1305-4
Zeitz, M., Haacker, J. M., Donges, J. F., Albrecht, T. & Winkelmann, R. Dynamic regimes of the Greenland Ice Sheet emerging from interacting melt-elevation and glacial isostatic adjustment feedbacks. Earth Syst. Dyn. 13, 1077–1096 (2022).
doi: 10.5194/esd-13-1077-2022
Bougamont, M. et al. Impact of model physics on estimating the surface mass balance of the Greenland ice sheet. Geophys. Res. Lett. 34, L17501 (2007).
doi: 10.1029/2007GL030700
Bauer, E. & Ganopolski, A. Comparison of surface mass balance of ice sheets simulated by positive-degree-day method and energy balance approach. Clim. Past 13, 819–832 (2017).
doi: 10.5194/cp-13-819-2017
Krebs-Kanzow, U., Gierz, P. & Lohmann, G. Brief communication: an ice surface melt scheme including the diurnal cycle of solar radiation. Cryosphere 12, 3923–3930 (2018).
doi: 10.5194/tc-12-3923-2018
Rückamp, M., Falk, U., Frieler, K., Lange, S. & Humbert, A. The effect of overshooting 1.5 °C global warming on the mass loss of the Greenland ice sheet. Earth Syst. Dyn. 9, 1169–1189 (2018).
doi: 10.5194/esd-9-1169-2018
Krebs-Kanzow, U. et al. The diurnal Energy Balance Model (dEBM): a convenient surface mass balance solution for ice sheets in Earth system modeling. Cryosphere 15, 2295–2313 (2021).
doi: 10.5194/tc-15-2295-2021
Barletta, V. R. et al. Observed rapid bedrock uplift in Amundsen Sea Embayment promotes ice-sheet stability. Science 360, 1335–1339 (2018).
pubmed: 29930133 doi: 10.1126/science.aao1447
Whitehouse, P. L., Gomez, N., King, M. A. & Wiens, D. A. Solid Earth change and the evolution of the Antarctic Ice Sheet. Nat. Commun. 10, 503 (2019).
pubmed: 30700704 pmcid: 6353952 doi: 10.1038/s41467-018-08068-y
Koenig, S. J. et al. Ice sheet model dependency of the simulated Greenland Ice Sheet in the mid-Pliocene. Clim. Past 11, 369–381 (2015).
doi: 10.5194/cp-11-369-2015
Van Breedam, J., Goelzer, H. & Huybrechts, P. Semi-equilibrated global sea-level change projections for the next 10 000 years. Earth Syst. Dyn. 11, 953–976 (2020).
doi: 10.5194/esd-11-953-2020
Noël, B., van Kampenhout, L., Lenaerts, J. T. M., van de Berg, W. J. & van den Broeke, M. R. A 21st century warming threshold for sustained Greenland ice sheet mass loss. Geophys. Res. Lett. 48, e2020GL090471 (2021).
doi: 10.1029/2020GL090471
Höning, D. et al. Multistability and transient response of the Greenland ice sheet to anthropogenic CO
doi: 10.1029/2022GL101827
Eyring, V. et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9, 1937–1958 (2016).
doi: 10.5194/gmd-9-1937-2016
Rantanen, M. et al. The Arctic has warmed nearly four times faster than the globe since 1979. Commun. Earth Environ. 3, 168 (2022).
doi: 10.1038/s43247-022-00498-3
Nowicki, S. et al. Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models. Cryosphere 14, 2331–2368 (2020).
doi: 10.5194/tc-14-2331-2020
Liu, W., Fedorov, A. V., Xie, S.-P. & Hu, S. Climate impacts of a weakened Atlantic Meridional Overturning Circulation in a warming climate. Sci. Adv. 6, eaaz4876 (2020).
pubmed: 32637596 pmcid: 7319730 doi: 10.1126/sciadv.aaz4876
Sommers, A. N. et al. Retreat and regrowth of the Greenland Ice Sheet during the Last Interglacial as simulated by the CESM2-CISM2 coupled climate–ice sheet model. Paleoceanogr. Paleoclimatol. 36, e2021PA004272 (2021).
doi: 10.1029/2021PA004272
Jackson, L. C. et al. Understanding AMOC stability: the North Atlantic Hosing Model Intercomparison Project. Geosci. Model Dev. 16, 1975–1995 (2023).
doi: 10.5194/gmd-16-1975-2023
Cartopy: A Cartographic Python Library with a Matplotlib Interface (Met Office, Cartopy, 2010); https://scitools.org.uk/cartopy
Lliboutry, L. & Duval, P. Various isotropic and anisotropic ices found in glaciers and polar ice caps and their corresponding rheologies. Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 22, 198 (1985).
doi: 10.1016/0148-9062(85)90267-0
Schoof, C. & Hindmarsh, R. C. A. Thin-film flows with wall slip: an asymptotic analysis of higher order glacier flow models. Q. J. Mech. Appl. Math. 63, 73–114 (2010).
doi: 10.1093/qjmam/hbp025
Cuffey, K. M. & Paterson, W. S. B. The Physics of Glaciers 4th edn (Academic, 2010).
Morlighem, M. et al. BedMachine v3: complete bed topography and ocean bathymetry mapping of Greenland from multibeam echo sounding combined with mass conservation. Geophys. Res. Lett. 44, 11,051–11,061 (2017).
doi: 10.1002/2017GL074954
Lingle, C. S. & Clark, J. A. A numerical model of interactions between a marine ice sheet and the solid earth: application to a West Antarctic ice stream. J. Geophys. Res. Oceans 90, 1100–1114 (1985).
doi: 10.1029/JC090iC01p01100
Bueler, E., Lingle, C. S. & Brown, J. Fast computation of a viscoelastic deformable Earth model for ice-sheet simulations. Ann. Glaciol. 46, 97–105 (2007).
doi: 10.3189/172756407782871567
Fettweis, X. et al. Reconstructions of the 1900–2015 Greenland ice sheet surface mass balance using the regional climate MAR model. Cryosphere 11, 1015–1033 (2017).
doi: 10.5194/tc-11-1015-2017
Morlighem, M. et al. IceBridge BedMachine Greenland Version 5 (NSIDC, 2022); https://nsidc.org/data/IDBMG4/versions/5
Shapiro, N. M. & Ritzwoller, M. H. Inferring surface heat flux distributions guided by a global seismic model: particular application to Antarctica. Earth Planet. Sci. Lett. 223, 213–224 (2004).
doi: 10.1016/j.epsl.2004.04.011
Robinson, A., Goldberg, D. & Lipscomb, W. H. A comparison of the stability and performance of depth-integrated ice-dynamics solvers. Cryosphere 16, 689–709 (2022).
doi: 10.5194/tc-16-689-2022
Joughin, I., Smith, B. E. & Schoof, C. G. Regularized Coulomb friction laws for ice sheet sliding: application to Pine Island Glacier, Antarctica. Geophys. Res. Lett. 46, 4764–4771 (2019).
pubmed: 31244498 pmcid: 6582595 doi: 10.1029/2019GL082526
Bueler, E. & van Pelt, W. Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6. Geosci. Model Dev. 8, 1613–1635 (2015).
doi: 10.5194/gmd-8-1613-2015
Serreze, M. C. & Francis, J. A. The Arctic amplification debate. Clim. Change 76, 241–264 (2006).
doi: 10.1007/s10584-005-9017-y
Serreze, M. C., Barrett, A. P., Stroeve, J. C., Kindig, D. N. & Holland, M. M. The emergence of surface-based Arctic amplification. Cryosphere 3, 11–19 (2009).
doi: 10.5194/tc-3-11-2009
Screen, J. A. & Simmonds, I. The central role of diminishing sea ice in recent Arctic temperature amplification. Nature 464, 1334–1337 (2010).
pubmed: 20428168 doi: 10.1038/nature09051
Morice, C. P. et al. An updated assessment of near-surface temperature change from 1850: the HadCRUT5 data set. J. Geophys. Res. Atmos. 126, e2019JD032361 (2021).
doi: 10.1029/2019JD032361
Cappelen, J. Greenland - DMI historical climate data collection 1784-2019. Technical report of the Danish Meteorological Institute (2020).
Joughin, I., Smith, B. & Howat, I. MEaSUREs Multi-year Greenland Ice Sheet Velocity Mosaic Version 1 (NSIDC, 2016); https://nsidc.org/data/NSIDC-0670/versions/1
Joughin, I., Smith, B. E. & Howat, I. M. A complete map of Greenland ice velocity derived from satellite data collected over 20 years. J. Glaciol. 64, 1–11 (2018).
pubmed: 31217636 doi: 10.1017/jog.2017.73
Crameri, F., Shephard, G. E. & Heron, P. J. The misuse of colour in science communication. Nat. Commun. 11, 5444 (2020).
pubmed: 33116149 pmcid: 7595127 doi: 10.1038/s41467-020-19160-7

Auteurs

Nils Bochow (N)

Department of Mathematics and Statistics, UiT - The Arctic University of Norway, Tromsø, Norway. nils.bochow@uit.no.
Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark. nils.bochow@uit.no.
Potsdam Institute for Climate Impact Research, Potsdam, Germany. nils.bochow@uit.no.

Anna Poltronieri (A)

Department of Mathematics and Statistics, UiT - The Arctic University of Norway, Tromsø, Norway.

Alexander Robinson (A)

Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Potsdam, Germany.
Department of Earth Science and Astrophysics, Complutense University of Madrid, Madrid, Spain.

Marisa Montoya (M)

Department of Earth Science and Astrophysics, Complutense University of Madrid, Madrid, Spain.
Instituto de Geociencias, CSIC-UCM, Madrid, Spain.

Martin Rypdal (M)

Department of Mathematics and Statistics, UiT - The Arctic University of Norway, Tromsø, Norway.

Niklas Boers (N)

Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Earth System Modelling, School of Engineering & Design, Technical University of Munich, Munich, Germany.
Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK.

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