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The Cryosphere
An interactive open-access journal of the European Geosciences Union
Journal topic
- About
- Editorial board
- Articles
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IF 4.713
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index 71h5-index 53
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Abstracted/indexed
TC | Articles | Volume 13, issue 4
The Cryosphere, 13, 1349–1380, 2019
https://doi.org/10.5194/tc-13-1349-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-1349-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 1349–1380, 2019
https://doi.org/10.5194/tc-13-1349-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-1349-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article 24 Apr 2019
Research article | 24 Apr 2019
Uncertainty quantification of the multi-centennial response of the Antarctic ice sheet to climate change
Kevin Bulthuis et al.
Related authors
No articles found.
Thore Kausch, Stef Lhermitte, Jan T. M. Lenaerts, Nander Wever, Mana Inoue, Frank Pattyn, Sainan Sun, Sarah Wauthy, Jean-Louis Tison, and Willem Jan van de Berg
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-66, https://doi.org/10.5194/tc-2020-66, 2020
Preprint under review for TC
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Ice rises are elevated parts of the otherwise flat ice shelf. Here we study the impact of an Antarctic ice rise on the surrounding snow accumulation by combining field data and modelling. Our results show a clear difference in average yearly snow accumulation between the windward side, the leeward side and the peak of the ice rise, due to differences in snowfall and wind erosion. This is relevant for the interpretation of ice core records, which are often drilled on the peak of an ice rise.
Heiko Goelzer, Violaine Coulon, Frank Pattyn, Bas de Boer, and Roderik van de Wal
The Cryosphere, 14, 833–840, https://doi.org/10.5194/tc-14-833-2020, https://doi.org/10.5194/tc-14-833-2020, 2020
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In our ice-sheet modelling experience and from exchange with colleagues in different groups, we found that it is not always clear how to calculate the sea-level contribution from a marine ice-sheet model. This goes hand in hand with a lack of documentation and transparency in the published literature on how the sea-level contribution is estimated in different models. With this brief communication, we hope to stimulate awareness and discussion in the community to improve on this situation.
Anders Levermann, Ricarda Winkelmann, Torsten Albrecht, Heiko Goelzer, Nicholas R. Golledge, Ralf Greve, Philippe Huybrechts, Jim Jordan, Gunter Leguy, Daniel Martin, Mathieu Morlighem, Frank Pattyn, David Pollard, Aurelien Quiquet, Christian Rodehacke, Helene Seroussi, Johannes Sutter, Tong Zhang, Jonas Van Breedam, Reinhard Calov, Robert DeConto, Christophe Dumas, Julius Garbe, G. Hilmar Gudmundsson, Matthew J. Hoffman, Angelika Humbert, Thomas Kleiner, William H. Lipscomb, Malte Meinshausen, Esmond Ng, Sophie M. J. Nowicki, Mauro Perego, Stephen F. Price, Fuyuki Saito, Nicole-Jeanne Schlegel, Sainan Sun, and Roderik S. W. van de Wal
Earth Syst. Dynam., 11, 35–76, https://doi.org/10.5194/esd-11-35-2020, https://doi.org/10.5194/esd-11-35-2020, 2020
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We provide an estimate of the future sea level contribution of Antarctica from basal ice shelf melting up to the year 2100. The full uncertainty range in the warming-related forcing of basal melt is estimated and applied to 16 state-of-the-art ice sheet models using a linear response theory approach. The sea level contribution we obtain is very likely below 61 cm under unmitigated climate change until 2100 (RCP8.5) and very likely below 40 cm if the Paris Climate Agreement is kept.
Helene Seroussi, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe Ouchi, Cecile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Rupert Gladstone, Nicholas Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hatterman, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-324, https://doi.org/10.5194/tc-2019-324, 2020
Revised manuscript accepted for TC
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The Antarctic ice sheet has been losing mass over at least the past three decades in response to changes in atmospheric and oceanic conditions. This study presents an ensemble of model simulations of the Antarctic evolution over the 2015–2100 period based on various ice sheet models, climate forcings and emission scenarios. Results suggest that the West Antarctic Ice Sheet will continue losing large amount of ice, while the East Antarctic ice sheet could experience increased snow accumulation.
Hélène Seroussi, Sophie Nowicki, Erika Simon, Ayako Abe-Ouchi, Torsten Albrecht, Julien Brondex, Stephen Cornford, Christophe Dumas, Fabien Gillet-Chaulet, Heiko Goelzer, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Thomas Kleiner, Eric Larour, Gunter Leguy, William H. Lipscomb, Daniel Lowry, Matthias Mengel, Mathieu Morlighem, Frank Pattyn, Anthony J. Payne, David Pollard, Stephen F. Price, Aurélien Quiquet, Thomas J. Reerink, Ronja Reese, Christian B. Rodehacke, Nicole-Jeanne Schlegel, Andrew Shepherd, Sainan Sun, Johannes Sutter, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, and Tong Zhang
The Cryosphere, 13, 1441–1471, https://doi.org/10.5194/tc-13-1441-2019, https://doi.org/10.5194/tc-13-1441-2019, 2019
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We compare a wide range of Antarctic ice sheet simulations with varying initialization techniques and model parameters to understand the role they play on the projected evolution of this ice sheet under simple scenarios. Results are improved compared to previous assessments and show that continued improvements in the representation of the floating ice around Antarctica are critical to reduce the uncertainty in the future ice sheet contribution to sea level rise.
Brice Van Liefferinge, Frank Pattyn, Marie G. P. Cavitte, Nanna B. Karlsson, Duncan A. Young, Johannes Sutter, and Olaf Eisen
The Cryosphere, 12, 2773–2787, https://doi.org/10.5194/tc-12-2773-2018, https://doi.org/10.5194/tc-12-2773-2018, 2018
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Our paper provides an important review of the state of knowledge for oldest-ice prospection, but also adds new basal geothermal heat flux constraints from recently acquired high-definition radar data sets. This is the first paper to contrast the two primary target regions for oldest ice: Dome C and Dome Fuji. Moreover, we provide statistical comparisons of all available data sets and a summary of the community's criteria for the retrieval of interpretable oldest ice since the 2013 effort.
Nanna B. Karlsson, Tobias Binder, Graeme Eagles, Veit Helm, Frank Pattyn, Brice Van Liefferinge, and Olaf Eisen
The Cryosphere, 12, 2413–2424, https://doi.org/10.5194/tc-12-2413-2018, https://doi.org/10.5194/tc-12-2413-2018, 2018
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In this study, we investigate the probability that the Dome Fuji region in East Antarctica contains ice more than 1.5 Ma old. The retrieval of a continuous ice-core record extending beyond 1 Ma is imperative to understand why the frequency of ice ages changed from 40 to 100 ka approximately 1 Ma ago.
We use a new radar dataset to improve the ice thickness maps, and apply a thermokinematic model to predict basal temperature and age of the ice. Our results indicate several areas of interest.
Heiko Goelzer, Sophie Nowicki, Tamsin Edwards, Matthew Beckley, Ayako Abe-Ouchi, Andy Aschwanden, Reinhard Calov, Olivier Gagliardini, Fabien Gillet-Chaulet, Nicholas R. Golledge, Jonathan Gregory, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Joseph H. Kennedy, Eric Larour, William H. Lipscomb, Sébastien Le clec'h, Victoria Lee, Mathieu Morlighem, Frank Pattyn, Antony J. Payne, Christian Rodehacke, Martin Rückamp, Fuyuki Saito, Nicole Schlegel, Helene Seroussi, Andrew Shepherd, Sainan Sun, Roderik van de Wal, and Florian A. Ziemen
The Cryosphere, 12, 1433–1460, https://doi.org/10.5194/tc-12-1433-2018, https://doi.org/10.5194/tc-12-1433-2018, 2018
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We have compared a wide spectrum of different initialisation techniques used in the ice sheet modelling community to define the modelled present-day Greenland ice sheet state as a starting point for physically based future-sea-level-change projections. Compared to earlier community-wide comparisons, we find better agreement across different models, which implies overall improvement of our understanding of what is needed to produce such initial states.
Sophie Berger, Reinhard Drews, Veit Helm, Sainan Sun, and Frank Pattyn
The Cryosphere, 11, 2675–2690, https://doi.org/10.5194/tc-11-2675-2017, https://doi.org/10.5194/tc-11-2675-2017, 2017
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Floating ice shelves act as a plug for the Antarctic ice sheet. The efficiency of this ice plug depends on how and how much the ocean melts the ice from below. This study relies on satellite imagery and a Lagrangian approach to map in detail the basal mass balance of an Antarctic ice shelf. Although the large-scale melting pattern of the ice shelf agrees with previous studies, our technique successfully detects local variability (< 1 km) in the basal melting of the ice shelf.
Sainan Sun, Stephen L. Cornford, John C. Moore, Rupert Gladstone, and Liyun Zhao
The Cryosphere, 11, 2543–2554, https://doi.org/10.5194/tc-11-2543-2017, https://doi.org/10.5194/tc-11-2543-2017, 2017
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The buttressing effect of the floating ice shelves is diminished by the fracture process. We developed a continuum damage mechanics model component of the ice sheet model to simulate the process. The model is tested on an ideal marine ice sheet geometry. We find that behavior of the simulated marine ice sheet is sensitive to fracture processes on the ice shelf, and the stiffness of ice around the grounding line is essential to ice sheet evolution.
Frank Pattyn
The Cryosphere, 11, 1851–1878, https://doi.org/10.5194/tc-11-1851-2017, https://doi.org/10.5194/tc-11-1851-2017, 2017
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Marine Ice Sheet Instability is a mechanism that can potentially lead to collapse of marine sectors of the Antarctic ice sheet and floating ice shelves play a crucial role herein. Improved grounding line physics (interaction with subglacial sediment) are implemented in a new ice-sheet model and compared to traditional sliding laws. Ice shelf collapse leads to a significant higher sea-level contribution (up to 15 m in 500 years) compared to traditional grounding-line approaches.
Lionel Favier, Frank Pattyn, Sophie Berger, and Reinhard Drews
The Cryosphere, 10, 2623–2635, https://doi.org/10.5194/tc-10-2623-2016, https://doi.org/10.5194/tc-10-2623-2016, 2016
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We demonstrate the short-term unstable retreat of an East Antarctic outlet glacier triggered by imposed sub-ice-shelf melt, compliant with current values, using a state-of-the-art ice-sheet model. We show that pinning points – topographic highs in contact with the ice-shelf base – have a major impact on ice-sheet stability and timing of grounding-line retreat. The study therefore calls for improving our knowledge of sub-ice-shelf bathymetry in order to reduce uncertainties in future ice loss.
Morgane Philippe, Jean-Louis Tison, Karen Fjøsne, Bryn Hubbard, Helle A. Kjær, Jan T. M. Lenaerts, Reinhard Drews, Simon G. Sheldon, Kevin De Bondt, Philippe Claeys, and Frank Pattyn
The Cryosphere, 10, 2501–2516, https://doi.org/10.5194/tc-10-2501-2016, https://doi.org/10.5194/tc-10-2501-2016, 2016
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The reconstruction of past snow accumulation rates is crucial in the context of recent climate change and sea level rise. We measured ~ 250 years of snow accumulation using a 120 m ice core drilled in coastal East Antarctica, where such long records are very scarce. This study is the first to show an increase in snow accumulation, beginning in the 20th and particularly marked in the last 50 years, thereby confirming model predictions of increased snowfall associated with climate change.
Xylar S. Asay-Davis, Stephen L. Cornford, Gaël Durand, Benjamin K. Galton-Fenzi, Rupert M. Gladstone, G. Hilmar Gudmundsson, Tore Hattermann, David M. Holland, Denise Holland, Paul R. Holland, Daniel F. Martin, Pierre Mathiot, Frank Pattyn, and Hélène Seroussi
Geosci. Model Dev., 9, 2471–2497, https://doi.org/10.5194/gmd-9-2471-2016, https://doi.org/10.5194/gmd-9-2471-2016, 2016
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Coupled ice sheet–ocean models capable of simulating moving grounding lines are just becoming available. Such models have a broad range of potential applications in studying the dynamics of ice sheets and glaciers, including assessing their contributions to sea level change. Here we describe the idealized experiments that make up three interrelated Model Intercomparison Projects (MIPs) for marine ice sheet models and regional ocean circulation models incorporating ice shelf cavities.
Reinhard Drews, Joel Brown, Kenichi Matsuoka, Emmanuel Witrant, Morgane Philippe, Bryn Hubbard, and Frank Pattyn
The Cryosphere, 10, 811–823, https://doi.org/10.5194/tc-10-811-2016, https://doi.org/10.5194/tc-10-811-2016, 2016
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The thickness of ice shelves is typically inferred using hydrostatic equilibrium which requires knowledge of the firn density. Here, we infer density from wide-angle radar using a novel algorithm including traveltime inversion and ray tracing. We find that firn is denser inside a 2 km wide ice-shelf channel which is confirmed by optical televiewing of two boreholes. Such horizontal density variations must be accounted for when using the hydrostatic ice thickness for determining basal melt rate.
G. Durand and F. Pattyn
The Cryosphere, 9, 2043–2055, https://doi.org/10.5194/tc-9-2043-2015, https://doi.org/10.5194/tc-9-2043-2015, 2015
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Projections of Antarctic dynamics and contribution to sea-level rise are evaluated in the light of intercomparison exercises dedicated to evaluate models' ability of representing coastal changes. Uncertainties in projections can be substantially decreased if a selection of models is made and models that are unqualified for the representation of coastal dynamics are excluded.
S. Sun, S. L. Cornford, Y. Liu, and J. C. Moore
The Cryosphere, 8, 1561–1576, https://doi.org/10.5194/tc-8-1561-2014, https://doi.org/10.5194/tc-8-1561-2014, 2014
D. Callens, K. Matsuoka, D. Steinhage, B. Smith, E. Witrant, and F. Pattyn
The Cryosphere, 8, 867–875, https://doi.org/10.5194/tc-8-867-2014, https://doi.org/10.5194/tc-8-867-2014, 2014
D. Di Nitto, G. Neukermans, N. Koedam, H. Defever, F. Pattyn, J. G. Kairo, and F. Dahdouh-Guebas
Biogeosciences, 11, 857–871, https://doi.org/10.5194/bg-11-857-2014, https://doi.org/10.5194/bg-11-857-2014, 2014
M. Thoma, K. Grosfeld, D. Barbi, J. Determann, S. Goeller, C. Mayer, and F. Pattyn
Geosci. Model Dev., 7, 1–21, https://doi.org/10.5194/gmd-7-1-2014, https://doi.org/10.5194/gmd-7-1-2014, 2014
H. Fischer, J. Severinghaus, E. Brook, E. Wolff, M. Albert, O. Alemany, R. Arthern, C. Bentley, D. Blankenship, J. Chappellaz, T. Creyts, D. Dahl-Jensen, M. Dinn, M. Frezzotti, S. Fujita, H. Gallee, R. Hindmarsh, D. Hudspeth, G. Jugie, K. Kawamura, V. Lipenkov, H. Miller, R. Mulvaney, F. Parrenin, F. Pattyn, C. Ritz, J. Schwander, D. Steinhage, T. van Ommen, and F. Wilhelms
Clim. Past, 9, 2489–2505, https://doi.org/10.5194/cp-9-2489-2013, https://doi.org/10.5194/cp-9-2489-2013, 2013
B. Van Liefferinge and F. Pattyn
Clim. Past, 9, 2335–2345, https://doi.org/10.5194/cp-9-2335-2013, https://doi.org/10.5194/cp-9-2335-2013, 2013
A. S. Drouet, D. Docquier, G. Durand, R. Hindmarsh, F. Pattyn, O. Gagliardini, and T. Zwinger
The Cryosphere, 7, 395–406, https://doi.org/10.5194/tc-7-395-2013, https://doi.org/10.5194/tc-7-395-2013, 2013
Related subject area
Discipline: Ice sheets | Subject: Antarctic
Synoptic conditions and atmospheric moisture pathways associated with virga and precipitation over coastal Adélie Land in Antarctica
Refractory black carbon (rBC) variability in a 47-year West Antarctic snow and firn core
Spatial probabilistic calibration of a high-resolution Amundsen Sea Embayment ice sheet model with satellite altimeter data
How useful is snow accumulation in reconstructing surface air temperature in Antarctica? A study combining ice core records and climate models
Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 1: Boundary conditions and climatic forcing
Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis
Interannual variability of summer surface mass balance and surface melting in the Amundsen sector, West Antarctica
Experimental protocol for sealevel projections from ISMIP6 standalone ice sheet models
ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century
The role of history and strength of the oceanic forcing in sea-level projections from Antarctica with the Parallel Ice Sheet Model
New gravity-derived bathymetry for the Thwaites, Crosson and Dotson ice shelves revealing two ice shelf populations
Thickness of the divide and flank of the West Antarctic Ice Sheet through the last deglaciation
New Last Glacial Maximum ice thickness constraints for the Weddell Sea Embayment, Antarctica
Large-scale englacial folding and deep-ice stratigraphy within the West Antarctic Ice Sheet
Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice shelf geometry
Brief communication: A submarine wall protecting the Amundsen Sea intensifies melting of neighboring ice shelves
Modelling the Antarctic Ice Sheet across the mid-Pleistocene transition – implications for Oldest Ice
Past water flow beneath Pine Island and Thwaites glaciers, West Antarctica
Marked decrease in the near-surface snow density retrieved by AMSR-E satellite at Dome C, Antarctica, between 2002 and 2011
Four decades of Antarctic surface elevation changes from multi-mission satellite altimetry
Moisture transport in observations and reanalyses as a proxy for snow accumulation in East Antarctica
Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes
The vertical structure of precipitation at two stations in East Antarctica derived from micro rain radars
Brief communication: widespread potential for seawater infiltration on Antarctic ice shelves
Sensitivity of the current Antarctic surface mass balance to sea surface conditions using MAR
Exploration of Antarctic Ice Sheet 100-year contribution to sea level rise and associated model uncertainties using the ISSM framework
The internal structure of the Brunt Ice Shelf from ice-penetrating radar analysis and implications for ice shelf fracture
Grounding-line flux formula applied as a flux condition in numerical simulations fails for buttressed Antarctic ice streams
Velocity increases at Cook Glacier, East Antarctica, linked to ice shelf loss and a subglacial flood event
Promising Oldest Ice sites in East Antarctica based on thermodynamical modelling
Diagnosing ice sheet grounding line stability from landform morphology
Glacier change along West Antarctica's Marie Byrd Land Sector and links to inter-decadal atmosphere–ocean variability
Deglaciation and future stability of the Coats Land ice margin, Antarctica
Bathymetric controls on calving processes at Pine Island Glacier
Tidal bending of ice shelves as a mechanism for large-scale temporal variations in ice flow
Where is the 1-million-year-old ice at Dome A?
A new digital elevation model of Antarctica derived from CryoSat-2 altimetry
Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 2: Antarctica (1979–2016)
Changes in flow of Crosson and Dotson ice shelves, West Antarctica, in response to elevated melt
Accumulation patterns around Dome C, East Antarctica, in the last 73 kyr
Nicolas Jullien, Étienne Vignon, Michael Sprenger, Franziska Aemisegger, and Alexis Berne
The Cryosphere, 14, 1685–1702, https://doi.org/10.5194/tc-14-1685-2020, https://doi.org/10.5194/tc-14-1685-2020, 2020
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Although snowfall is the main input of water to the Antarctic ice sheet, snowflakes are often evaporated by dry and fierce winds near the surface of the continent. The amount of snow that actually reaches the ground is therefore considerably reduced. By analyzing the position of cyclones and fronts as well as by back-tracing the atmospheric moisture pathway towards Antarctica, this study explains in which meteorological conditions snowfall is either completely evaporated or reaches the ground.
Luciano Marquetto, Susan Kaspari, and Jefferson Cardia Simões
The Cryosphere, 14, 1537–1554, https://doi.org/10.5194/tc-14-1537-2020, https://doi.org/10.5194/tc-14-1537-2020, 2020
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Black carbon, commonly known as soot, is a particle originating from the incomplete combustion of fossil fuels and biomass burning that plays an important role in the climatic system. In this work, we analyzed black carbon from an Antarctic ice core spanning 1968–2015 and observed very low concentrations of this particle in the snow, lower than previous works in West Antarctica. We suggest that black carbon transport to East Antarctica is different from its transport to West Antarctica.
Andreas Wernecke, Tamsin L. Edwards, Isabel J. Nias, Philip B. Holden, and Neil R. Edwards
The Cryosphere, 14, 1459–1474, https://doi.org/10.5194/tc-14-1459-2020, https://doi.org/10.5194/tc-14-1459-2020, 2020
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We investigate how the two-dimensional characteristics of ice thickness change from satellite measurements can be used to judge and refine a high-resolution ice sheet model of Antarctica. The uncertainty in 50-year model simulations for the currently most drastically changing part of Antarctica can be reduced by nearly 40 % compared to a simpler, non-spatial approach and nearly 90 % compared to the original spread in simulations.
Quentin Dalaiden, Hugues Goosse, François Klein, Jan T. M. Lenaerts, Max Holloway, Louise Sime, and Elizabeth R. Thomas
The Cryosphere, 14, 1187–1207, https://doi.org/10.5194/tc-14-1187-2020, https://doi.org/10.5194/tc-14-1187-2020, 2020
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Large uncertainties remain in Antarctic surface temperature reconstructions over the last millennium. Here, the analysis of climate model outputs reveals that snow accumulation is a more relevant proxy for surface temperature reconstructions than δ18O. We use this finding in data assimilation experiments to compare to observed surface temperatures. We show that our continental temperature reconstruction outperforms reconstructions based on δ18O, especially for East Antarctica.
Torsten Albrecht, Ricarda Winkelmann, and Anders Levermann
The Cryosphere, 14, 599–632, https://doi.org/10.5194/tc-14-599-2020, https://doi.org/10.5194/tc-14-599-2020, 2020
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During the last glacial cycles the Antarctic Ice Sheet experienced alternating climatic conditions and varying sea-level history. In response, changes in ice sheet volume and ice-covered area occurred, implying feedbacks on the global sea level. We ran model simulations of the ice sheet with the Parallel Ice Sheet Model (PISM) over the last two glacial cycles to evaluate the model's sensitivity to different choices of boundary conditions and parameters to gain confidence for future projections.
Torsten Albrecht, Ricarda Winkelmann, and Anders Levermann
The Cryosphere, 14, 633–656, https://doi.org/10.5194/tc-14-633-2020, https://doi.org/10.5194/tc-14-633-2020, 2020
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A large ensemble of glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) was analyzed in which four relevant model parameters were systematically varied. These parameters were selected in a companion study and are associated with uncertainties in ice dynamics, climatic forcing, basal sliding and solid Earth deformation. For each ensemble member a statistical score is computed, which enables calibrating the model against both modern and geologic data.
Marion Donat-Magnin, Nicolas C. Jourdain, Hubert Gallée, Charles Amory, Christoph Kittel, Xavier Fettweis, Jonathan D. Wille, Vincent Favier, Amine Drira, and Cécile Agosta
The Cryosphere, 14, 229–249, https://doi.org/10.5194/tc-14-229-2020, https://doi.org/10.5194/tc-14-229-2020, 2020
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Modeling the interannual variability of the surface conditions over Antarctic glaciers is important for the identification of climate trends and climate predictions and to assess models. We simulate snow accumulation and surface melting in the Amundsen sector (West Antarctica) over 1979–2017. For all the glaciers, the interannual variability of summer snow accumulation and surface melting is driven by two distinct mechanisms related to variations in the Amundsen Sea Low strength and position.
Sophie Nowicki, Antony J. Payne, Heiko Goelzer, Helene Seroussi, William H. Lipscomb, Ayako Abe-Ouchi, Cecile Agosta, Patrick Alexander, Xylar S. Asay-Davis, Alice Barthel, Thomas J. Bracegirdle, Richard Cullather, Denis Felikson, Xavier Fettweis, Jonathan Gregory, Tore Hatterman, Nicolas C. Jourdain, Peter Kuipers Munneke, Eric Larour, Christopher M. Little, Mathieu Morlinghem, Isabel Nias, Andrew Shepherd, Erika Simon, Donald Slater, Robin Smith, Fiammetta Straneo, Luke D. Trusel, Michiel R. van den Broeke, and Roderik van de Wal
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-322, https://doi.org/10.5194/tc-2019-322, 2020
Revised manuscript accepted for TC
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This paper describes the experimental protocol for ice sheet models taking part in the Ice Sheet Model Intercomparion Project for CMIP6 (ISMIP6) and presents an overview of the atmospheric and oceanic datasets to be used for the simulations. The ISMIP6 framework allows for exploring the uncertainty in 21st century sea-level change from the Greenland and Antarctic ice sheets.
Helene Seroussi, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe Ouchi, Cecile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Rupert Gladstone, Nicholas Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hatterman, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-324, https://doi.org/10.5194/tc-2019-324, 2020
Revised manuscript accepted for TC
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The Antarctic ice sheet has been losing mass over at least the past three decades in response to changes in atmospheric and oceanic conditions. This study presents an ensemble of model simulations of the Antarctic evolution over the 2015–2100 period based on various ice sheet models, climate forcings and emission scenarios. Results suggest that the West Antarctic Ice Sheet will continue losing large amount of ice, while the East Antarctic ice sheet could experience increased snow accumulation.
Ronja Reese, Anders Levermann, Torsten Albrecht, Hélène Seroussi, and Ricarda Winkelmann
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-330, https://doi.org/10.5194/tc-2019-330, 2020
Revised manuscript accepted for TC
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The contribution of the Antarctic Ice Sheet is one of the largest uncertainties in projections of future sea-level rise. In this work, we compare projections simulated with the Parallel Ice Sheet Model submitted to ISMIP6 with projections estimated following the LARMIP-2 protocol based on the same model configuration. We find an order of magnitude difference in the 21st century projected ice loss, which can be explained by the translation of ocean forcing to sub-shelf melting.
Tom A. Jordan, David Porter, Kirsty Tinto, Romain Millan, Atsuhiro Muto, Kelly Hogan, Robert D. Larter, Alastair G. C. Graham, and John D. Paden
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-294, https://doi.org/10.5194/tc-2019-294, 2020
Revised manuscript accepted for TC
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Linking ocean and ice sheet processes allow prediction of sea level change. Ice shelves form a floating buffer between the ice-ocean systems 10s of km wide, but the water depth beneath is often a mystery, leaving a critical blind spot in our understanding of how these systems interact. Here we use airborne measurements of gravity to reveal the bathymetry under the ice shelves flanking the rapidly changing Thwaites and adjacent glacier systems, providing new insights and data for future models.
Perry Spector, John Stone, and Brent Goehring
The Cryosphere, 13, 3061–3075, https://doi.org/10.5194/tc-13-3061-2019, https://doi.org/10.5194/tc-13-3061-2019, 2019
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We describe constraints on the thickness of the interior of the West Antarctic Ice Sheet (WAIS) through the last deglaciation. Our data imply that the ice-sheet divide between the Ross and Weddell sea sectors of the WAIS was thicker than present for a period less than ~ 8 kyr within the past ~ 15 kyr. These results are consistent with the hypothesis that the divide initially thickened due to the deglacial rise in snowfall and subsequently thinned in response to retreat of the ice-sheet margin.
Keir A. Nichols, Brent M. Goehring, Greg Balco, Joanne S. Johnson, Andrew S. Hein, and Claire Todd
The Cryosphere, 13, 2935–2951, https://doi.org/10.5194/tc-13-2935-2019, https://doi.org/10.5194/tc-13-2935-2019, 2019
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We studied the history of ice masses at three locations in the Weddell Sea Embayment, Antarctica. We measured rare isotopes in material sourced from mountains overlooking the Slessor Glacier, Foundation Ice Stream, and smaller glaciers on the Lassiter Coast. We show that ice masses were between 385 and 800 m thicker during the last glacial cycle than they are at present. The ice masses were both hundreds of metres thicker and remained thicker closer to the present than was previously thought.
Neil Ross, Hugh Corr, and Martin Siegert
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-245, https://doi.org/10.5194/tc-2019-245, 2019
Revised manuscript accepted for TC
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Using airborne ice-penetrating radar we investigated the physical properties and structure of the West Antarctic Ice Sheet. Ice deep beneath the Institute Ice Stream has prominent layers with physical properties distinct from those around them, and which are heavily folded like geological layers. In turn, these folds influence the present-day flow of the ice sheet, with implications for how computer models are used to simulate ice sheet flow and behaviour in a warming world.
Jan De Rydt, Gudmundur Hilmar Gudmundsson, Thomas Nagler, and Jan Wuite
The Cryosphere, 13, 2771–2787, https://doi.org/10.5194/tc-13-2771-2019, https://doi.org/10.5194/tc-13-2771-2019, 2019
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Two large icebergs are about to break off from the Brunt Ice Shelf in Antarctica. Rifting started several years ago and is now approaching its final phase. Satellite data and computer simulations show that over the past 2 decades, growth of the ice shelf has caused a build-up of forces within the ice, which culminated in its fracture. These natural changes in geometry coincided with large variations in flow speed, a process that is thought to be relevant for all Antarctic ice shelf margins.
Özgür Gürses, Vanessa Kolatschek, Qiang Wang, and Christian Bernd Rodehacke
The Cryosphere, 13, 2317–2324, https://doi.org/10.5194/tc-13-2317-2019, https://doi.org/10.5194/tc-13-2317-2019, 2019
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The warming of the Earth's climate system causes sea level rise. In Antarctica, ice streams flow into the sea and develop ice shelves. These are floating extensions of the ice streams. Ocean water melts these ice shelves. It has been proposed that a submarine wall could shield these ice shelves from the warm water. Our model simulation shows that the wall protects ice shelves. However, the warm water flows to neighboring ice shelves. There, enhanced melting reduces the effectiveness of the wall.
Johannes Sutter, Hubertus Fischer, Klaus Grosfeld, Nanna B. Karlsson, Thomas Kleiner, Brice Van Liefferinge, and Olaf Eisen
The Cryosphere, 13, 2023–2041, https://doi.org/10.5194/tc-13-2023-2019, https://doi.org/10.5194/tc-13-2023-2019, 2019
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The Antarctic Ice Sheet may have played an important role in moderating the transition between warm and cold climate epochs over the last million years. We find that the Antarctic Ice Sheet grew considerably about 0.9 Myr ago, a time when ice-age–warm-age cycles changed from a
40 000 to a 100 000 year periodicity. Our findings also suggest that ice as old as 1.5 Myr still exists at the bottom of the East Antarctic Ice Sheet despite the major climate reorganisations in the past.
James D. Kirkham, Kelly A. Hogan, Robert D. Larter, Neil S. Arnold, Frank O. Nitsche, Nicholas R. Golledge, and Julian A. Dowdeswell
The Cryosphere, 13, 1959–1981, https://doi.org/10.5194/tc-13-1959-2019, https://doi.org/10.5194/tc-13-1959-2019, 2019
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A series of huge (500 m wide, 50 m deep) channels were eroded by water flowing beneath Pine Island and Thwaites glaciers in the past. The channels are similar to canyon systems produced by floods of meltwater released beneath the Antarctic Ice Sheet millions of years ago. The spatial extent of the channels formed beneath Pine Island and Thwaites glaciers demonstrates significant quantities of water, possibly discharged from trapped subglacial lakes, flowed beneath these glaciers in the past.
Nicolas Champollion, Ghislain Picard, Laurent Arnaud, Éric Lefebvre, Giovanni Macelloni, Frédérique Rémy, and Michel Fily
The Cryosphere, 13, 1215–1232, https://doi.org/10.5194/tc-13-1215-2019, https://doi.org/10.5194/tc-13-1215-2019, 2019
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The snow density close to the surface has been retrieved from satellite observations at Dome C on the Antarctic Ice Sheet. It shows a marked decrease between 2002 and 2011 of about 10 kg m-3 yr-1. This trend has been confirmed by in situ measurements and other satellite observations though no long-term meteorological evolution has been found. These results have implications for surface mass balance and energy budget.
Ludwig Schröder, Martin Horwath, Reinhard Dietrich, Veit Helm, Michiel R. van den Broeke, and Stefan R. M. Ligtenberg
The Cryosphere, 13, 427–449, https://doi.org/10.5194/tc-13-427-2019, https://doi.org/10.5194/tc-13-427-2019, 2019
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We developed an approach to combine measurements of seven satellite altimetry missions over the Antarctic Ice Sheet. Our resulting monthly grids of elevation changes between 1978 and 2017 provide unprecedented details of the long-term and interannual variation. Derived mass changes agree well with contemporaneous data of surface mass balance and satellite gravimetry and show which regions were responsible for the significant accelerations of mass loss in recent years.
Ambroise Dufour, Claudine Charrondière, and Olga Zolina
The Cryosphere, 13, 413–425, https://doi.org/10.5194/tc-13-413-2019, https://doi.org/10.5194/tc-13-413-2019, 2019
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The East Antarctic Ice Sheet is thicker and larger than its western counterpart. Whether it gains or loses mass depends in part on the snowfall but this is difficult to measure and model inside the continent. Fortunately, the weather balloons launched from a network of stations along the coast provide an indirect estimate. Indeed, they track the water vapour that will eventually precipitate inland. It turns out there has been no consistent change in moisture transport from 1980 to 2017.
Cécile Agosta, Charles Amory, Christoph Kittel, Anais Orsi, Vincent Favier, Hubert Gallée, Michiel R. van den Broeke, Jan T. M. Lenaerts, Jan Melchior van Wessem, Willem Jan van de Berg, and Xavier Fettweis
The Cryosphere, 13, 281–296, https://doi.org/10.5194/tc-13-281-2019, https://doi.org/10.5194/tc-13-281-2019, 2019
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Antarctic surface mass balance (ASMB), a component of the sea level budget, is commonly estimated through modelling as observations are scarce. The polar-oriented regional climate model MAR performs well in simulating the observed ASMB. MAR and RACMO2 share common biases we relate to drifting snow transport, with a 3 times larger magnitude than in previous estimates. Sublimation of precipitation in the katabatic layer modelled by MAR is of a magnitude similar to an observation-based estimate.
Claudio Durán-Alarcón, Brice Boudevillain, Christophe Genthon, Jacopo Grazioli, Niels Souverijns, Nicole P. M. van Lipzig, Irina V. Gorodetskaya, and Alexis Berne
The Cryosphere, 13, 247–264, https://doi.org/10.5194/tc-13-247-2019, https://doi.org/10.5194/tc-13-247-2019, 2019
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Precipitation is the main input in the surface mass balance of the Antarctic ice sheet, but it is still poorly understood due to a lack of observations in this region. We analyzed the vertical structure of the precipitation using multiyear observation of vertically pointing micro rain radars (MRRs) at two stations located in East Antarctica. The use of MRRs showed the potential to study the effect of climatology and hydrometeor microphysics on the vertical structure of Antarctic precipitation.
Sue Cook, Benjamin K. Galton-Fenzi, Stefan R. M. Ligtenberg, and Richard Coleman
The Cryosphere, 12, 3853–3859, https://doi.org/10.5194/tc-12-3853-2018, https://doi.org/10.5194/tc-12-3853-2018, 2018
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When the porous compacted snow layers on an ice shelf extend below sea level, seawater is able to infiltrate onto the shelf. Here it can affect measurements of ice shelf thickness by changing the average density and affect iceberg calving if the seawater enters fractures. Seawater infiltration has only been directly observed in a few locations around Antarctica. Using continent-wide geometry and snow density data we show that it may be more widespread than previously realised.
Christoph Kittel, Charles Amory, Cécile Agosta, Alison Delhasse, Sébastien Doutreloup, Pierre-Vincent Huot, Coraline Wyard, Thierry Fichefet, and Xavier Fettweis
The Cryosphere, 12, 3827–3839, https://doi.org/10.5194/tc-12-3827-2018, https://doi.org/10.5194/tc-12-3827-2018, 2018
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Regional climate models (RCMs) used to estimate the surface mass balance (SMB) of Antarctica depend on boundary forcing fields including sea surface conditions. Here, we assess the sensitivity of the Antarctic SMB to perturbations in sea surface conditions with the RCM MAR using unchanged atmospheric conditions. Significant SMB anomalies are found for SSC perturbations in the range of CMIP5 global climate model biases.
Nicole-Jeanne Schlegel, Helene Seroussi, Michael P. Schodlok, Eric Y. Larour, Carmen Boening, Daniel Limonadi, Michael M. Watkins, Mathieu Morlighem, and Michiel R. van den Broeke
The Cryosphere, 12, 3511–3534, https://doi.org/10.5194/tc-12-3511-2018, https://doi.org/10.5194/tc-12-3511-2018, 2018
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Using NASA supercomputers and a novel framework, in which Sandia National Laboratories' statistical software is embedded in the Jet Propulsion Laboratory's ice sheet model, we run a range of 100-year warming scenarios for Antarctica. We find that 1.2 m of sea level contribution is achievable, but not likely. Also, we find that bedrock topography beneath the ice drives potential for regional sea level contribution, highlighting the need for accurate bedrock mapping of the ice sheet interior.
Edward C. King, Jan De Rydt, and G. Hilmar Gudmundsson
The Cryosphere, 12, 3361–3372, https://doi.org/10.5194/tc-12-3361-2018, https://doi.org/10.5194/tc-12-3361-2018, 2018
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Ice shelves are thick sheets of ice floating on the ocean off the coasts of Antarctica and Greenland. They help regulate the flow of ice off the continent. Ice shelves undergo a natural cycle of seaward flow, fracture, iceberg production and regrowth. The Brunt Ice Shelf recently developed two large cracks. We used ground-penetrating radar to find out how the internal structure of the ice might influence the present crack development and the future stability of the ice shelf.
Ronja Reese, Ricarda Winkelmann, and G. Hilmar Gudmundsson
The Cryosphere, 12, 3229–3242, https://doi.org/10.5194/tc-12-3229-2018, https://doi.org/10.5194/tc-12-3229-2018, 2018
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Accurately representing grounding-line flux is essential for modelling the evolution of the Antarctic Ice Sheet. Currently, in some large-scale ice-flow modelling studies a condition on ice flux across grounding lines is imposed using an analytically motivated parameterisation. Here we test this expression for Antarctic grounding lines and find that it provides inaccurate and partly unphysical estimates of ice flux for the highly buttressed ice streams.
Bertie W. J. Miles, Chris R. Stokes, and Stewart S. R. Jamieson
The Cryosphere, 12, 3123–3136, https://doi.org/10.5194/tc-12-3123-2018, https://doi.org/10.5194/tc-12-3123-2018, 2018
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Cook Glacier, as one of the largest in East Antarctica, may have made significant contributions to sea level during past warm periods. However, despite its potential importance there have been no long-term observations of its velocity. Here, through estimating velocity and ice front position from satellite imagery and aerial photography we show that there have been large previously undocumented changes in the velocity of Cook Glacier in response to ice shelf loss and a subglacial drainage event.
Brice Van Liefferinge, Frank Pattyn, Marie G. P. Cavitte, Nanna B. Karlsson, Duncan A. Young, Johannes Sutter, and Olaf Eisen
The Cryosphere, 12, 2773–2787, https://doi.org/10.5194/tc-12-2773-2018, https://doi.org/10.5194/tc-12-2773-2018, 2018
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Our paper provides an important review of the state of knowledge for oldest-ice prospection, but also adds new basal geothermal heat flux constraints from recently acquired high-definition radar data sets. This is the first paper to contrast the two primary target regions for oldest ice: Dome C and Dome Fuji. Moreover, we provide statistical comparisons of all available data sets and a summary of the community's criteria for the retrieval of interpretable oldest ice since the 2013 effort.
Lauren M. Simkins, Sarah L. Greenwood, and John B. Anderson
The Cryosphere, 12, 2707–2726, https://doi.org/10.5194/tc-12-2707-2018, https://doi.org/10.5194/tc-12-2707-2018, 2018
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Using thousands of grounding line landforms in the Ross Sea, Antarctica, we observe two distinct landform types associated with contrasting styles of grounding line retreat. We characterise landform morphology, examine factors that control landform morphology and distribution, and explore drivers of grounding line (in)stability. This study highlights the importance of understanding thresholds which may destabilise a system and of controls on grounding line retreat over a range of timescales.
Frazer D. W. Christie, Robert G. Bingham, Noel Gourmelen, Eric J. Steig, Rosie R. Bisset, Hamish D. Pritchard, Kate Snow, and Simon F. B. Tett
The Cryosphere, 12, 2461–2479, https://doi.org/10.5194/tc-12-2461-2018, https://doi.org/10.5194/tc-12-2461-2018, 2018
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With a focus on the hitherto little-studied Marie Byrd Land coastline linking Antarctica's more comprehensively studied Amundsen and Ross Sea Embayments, this paper uses both satellite remote sensing (Landsat, ASTER, ICESat, and CryoSat2) and climate and ocean records (i.e. ERA-Interim, Met Office EN4 data) to examine links between ice recession, inter-decadal atmosphere-ocean forcing and other influences acting upon the Pacific-facing coastline of West Antarctica.
Dominic A. Hodgson, Kelly Hogan, James M. Smith, James A. Smith, Claus-Dieter Hillenbrand, Alastair G. C. Graham, Peter Fretwell, Claire Allen, Vicky Peck, Jan-Erik Arndt, Boris Dorschel, Christian Hübscher, Andrew M. Smith, and Robert Larter
The Cryosphere, 12, 2383–2399, https://doi.org/10.5194/tc-12-2383-2018, https://doi.org/10.5194/tc-12-2383-2018, 2018
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We studied the Coats Land ice margin, Antarctica, providing a multi-disciplinary geophysical assessment of the ice sheet configuration through its last advance and retreat; a description of the physical constraints on the stability of the past and present ice and future margin based on its submarine geomorphology and ice-sheet geometry; and evidence that once detached from the bed, the ice shelves in this region were predisposed to rapid retreat back to coastal grounding lines.
Jan Erik Arndt, Robert D. Larter, Peter Friedl, Karsten Gohl, Kathrin Höppner, and the Science Team of Expedition PS104
The Cryosphere, 12, 2039–2050, https://doi.org/10.5194/tc-12-2039-2018, https://doi.org/10.5194/tc-12-2039-2018, 2018
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The calving line location of the Pine Island Glacier did not show any trend within the last 70 years until calving in 2015 led to unprecedented retreat. In February 2017 we accessed this previously ice-shelf-covered area with RV Polarstern and mapped the sea-floor topography for the first time. Satellite imagery of the last decades show how the newly mapped shoals affected the ice shelf development and highlights that sea-floor topography is an important factor in initiating calving events.
Sebastian H. R. Rosier and G. Hilmar Gudmundsson
The Cryosphere, 12, 1699–1713, https://doi.org/10.5194/tc-12-1699-2018, https://doi.org/10.5194/tc-12-1699-2018, 2018
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Ocean tides cause strong modulation of horizontal ice shelf flow, most notably at a fortnightly frequency that is absent in the vertical tidal forcing. We propose that tidal bending in the margins of the ice shelf produces sufficiently large stresses that the effective viscosity of ice in these regions is reduced during high and low tide. This effect can explain many features of the observed behaviour and implies that ice shelves in areas with strong tides move faster than they otherwise would.
Liyun Zhao, John C. Moore, Bo Sun, Xueyuan Tang, and Xiaoran Guo
The Cryosphere, 12, 1651–1663, https://doi.org/10.5194/tc-12-1651-2018, https://doi.org/10.5194/tc-12-1651-2018, 2018
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We investigate the age–depth profile to be expected of the ongoing deep ice coring at Kunlun station, Dome A, using the depth-varying anisotropic fabric suggested by the recent polarimetric measurements in a three-dimensional, thermo-mechanically coupled full-Stokes model. The model results suggest that the age of the deep ice at Kunlun is 649–831 ka, and there are large regions where 1-million-year-old ice may be found 200 m above the bedrock within 5–6 km of the Kunlun station.
Thomas Slater, Andrew Shepherd, Malcolm McMillan, Alan Muir, Lin Gilbert, Anna E. Hogg, Hannes Konrad, and Tommaso Parrinello
The Cryosphere, 12, 1551–1562, https://doi.org/10.5194/tc-12-1551-2018, https://doi.org/10.5194/tc-12-1551-2018, 2018
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We present a new digital elevation model of Antarctica derived from 6 years of elevation measurements acquired by ESA's CryoSat-2 satellite radar altimeter. We compare our elevation model to an independent set of NASA IceBridge airborne laser altimeter measurements and find the overall accuracy to be 9.5 m – a value comparable to or better than that of other models derived from satellite altimetry. The new CryoSat-2 digital elevation model of Antarctica will be made freely available.
Jan Melchior van Wessem, Willem Jan van de Berg, Brice P. Y. Noël, Erik van Meijgaard, Charles Amory, Gerit Birnbaum, Constantijn L. Jakobs, Konstantin Krüger, Jan T. M. Lenaerts, Stef Lhermitte, Stefan R. M. Ligtenberg, Brooke Medley, Carleen H. Reijmer, Kristof van Tricht, Luke D. Trusel, Lambertus H. van Ulft, Bert Wouters, Jan Wuite, and Michiel R. van den Broeke
The Cryosphere, 12, 1479–1498, https://doi.org/10.5194/tc-12-1479-2018, https://doi.org/10.5194/tc-12-1479-2018, 2018
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We present a detailed evaluation of the latest version of the regional atmospheric climate model RACMO2.3p2 (1979-2016) over the Antarctic ice sheet. The model successfully reproduces the present-day climate and surface mass balance (SMB) when compared with an extensive set of observations and improves on previous estimates of the Antarctic climate and SMB.
This study shows that the latest version of RACMO2 can be used for high-resolution future projections over the AIS.
David A. Lilien, Ian Joughin, Benjamin Smith, and David E. Shean
The Cryosphere, 12, 1415–1431, https://doi.org/10.5194/tc-12-1415-2018, https://doi.org/10.5194/tc-12-1415-2018, 2018
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We used remotely sensed data and a numerical model to study the processes controlling the stability of two rapidly changing ice shelves in West Antarctica. Both these ice shelves have been losing mass since at least 1996, primarily as a result of ocean-forced melt. We find that this imbalance likely results from changes initiated around 1970 or earlier. Our results also show that the shelves’ differing speedup is controlled by the strength of their margins and their grounding-line positions.
Marie G. P. Cavitte, Frédéric Parrenin, Catherine Ritz, Duncan A. Young, Brice Van Liefferinge, Donald D. Blankenship, Massimo Frezzotti, and Jason L. Roberts
The Cryosphere, 12, 1401–1414, https://doi.org/10.5194/tc-12-1401-2018, https://doi.org/10.5194/tc-12-1401-2018, 2018
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We reconstruct the pattern of surface accumulation in the region around Dome C, East Antarctica, over the last 73 kyr. We use internal isochrones interpreted from ice-penetrating radar surveys and a 1-D ice flow model to invert for time-averaged and paleo-accumulation rates. We observe that surface accumulation patterns are stable through the last 73 kyr, consistent with current observed regional precipitation gradients and consistent interactions between prevailing winds and surface slope.
Cited articles
Adhikari, S., Ivins, E. R., Larour, E., Seroussi, H., Morlighem, M., and Nowicki, S.: Future Antarctic bed topography and its implications for ice sheet dynamics, Solid Earth, 5, 569–584, https://doi.org/10.5194/se-5-569-2014, 2014. a
An, M., Wiens, D. A., Zhao, Y., Feng, M., Nyblade, A., Kanao, M., Li, Y.,
Maggi, A., and Lévêque, J.-J.: Temperature,
lithosphere-asthenosphere boundary, and heat flux beneath the Antarctic Plate
inferred from seismic velocities, J. Geophys. Res.-Sol. Ea., 120,
8720–8742, https://doi.org/10.1002/2015jb011917, 2015. a, b
Arnst, M. and Ponthot, J.-P.: An overview of nonintrusive characterization,
propagation, and sensitivity analysis of uncertainties in computational
mechanics, Int. J. Uncertain. Quan., 4, 387–421,
https://doi.org/10.1615/int.j.uncertaintyquantification.2014006990, 2014. a
Arthern, R. J. and Williams, C. R.: The sensitivity of West Antarctica to the
submarine melting feedback, Geophys. Res. Lett., 44, 2352–2359,
https://doi.org/10.1002/2017gl072514, 2017. a
Aschwanden, A., Fahnestock, M. A., and Truffer, M.: Complex Greenland outlet
glacier flow captured, Nat. Commun., 7, 10524, https://doi.org/10.1038/ncomms10524,
2016. a
Barletta, V. R., Bevis, M., Smith, B. E., Wilson, T., Brown, A., Bordoni, A.,
Willis, M., Khan, S. A., Rovira-Navarro, M., Dalziel, I., Smalley Jr., R.,
Kendrick, E., Konfal, S., Caccamise II, D. J., Aster, R. C., Nyblade, A.,
and Wiens, D. A.: Observed rapid bedrock uplift in Amundsen Sea Embayment
promotes ice-sheet stability, Science, 360, 1335–1339,
https://doi.org/10.1126/science.aao1447, 2018. a
Beckmann, A. and Goosse, H.: A parameterization of ice shelf–ocean
interaction for climate models, Ocean Model., 5, 157–170,
https://doi.org/10.1016/s1463-5003(02)00019-7, 2003. a
Bennett, M. R.: Ice streams as the arteries of an ice sheet: their mechanics,
stability and significance, Earth-Sci. Rev., 61, 309–339,
https://doi.org/10.1016/s0012-8252(02)00130-7, 2003. a
Bindschadler, R. A., Nowicki, S., Abe-Ouchi, A., Aschwanden, A., Choi, H.,
Fastook, J., Granzow, G., Greve, R., Gutowski, G., Herzfeld, U., Jackson, C.,
Johnson, J., Khroulev, C., Levermann, A., Lipscomb, W. H., Martin, M. A.,
Morlighem, M., Parizek, B. R., Pollard, D., Price, S. F., Ren, D., Saito, F.,
Sato, T., Seddik, H., Seroussi, H., Takahashi, K., Walker, R., and Wang,
W. L.: Ice-sheet model sensitivities to environmental forcing and their use
in projecting future sea level (the SeaRISE project), J. Glaciol., 59,
195–224, https://doi.org/10.3189/2013jog12j125, 2013. a, b
Blatter, H.: Velocity and stress fields in grounded glaciers: a simple
algorithm for including deviatoric stress gradients, J. Glaciol., 41,
333–344, https://doi.org/10.3189/s002214300001621x, 1995. a
Bolin, D. and Lindgren, F.: Excursion and contour uncertainty regions for
latent Gaussian models, J. R. Stat. Soc. B, 77, 85–106,
https://doi.org/10.1111/rssb.12055, 2015. a, b, c, d
Briggs, R., Pollard, D., and Tarasov, L.: A glacial systems model configured
for large ensemble analysis of Antarctic deglaciation, The Cryosphere, 7,
1949–1970, https://doi.org/10.5194/tc-7-1949-2013, 2013. a, b
Brondex, J., Gagliardini, O., Gillet-Chaulet, F., and Durand, G.: Sensitivity
of grounding line dynamics to the choice of the friction law, J. Glaciol.,
63, 854–866, https://doi.org/10.1017/jog.2017.51, 2017. a, b, c
Brondex, J., Gillet-Chaulet, F., and Gagliardini, O.: Sensitivity of
centennial mass loss projections of the Amundsen basin to the friction law,
The Cryosphere, 13, 177–195, https://doi.org/10.5194/tc-13-177-2019, 2019. a
Bueler, E. and Brown, J.: Shallow shelf approximation as a
“sliding law” in a thermomechanically
coupled ice sheet model, J. Geophys. Res., 114, F03008, https://doi.org/10.1029/2008jf001179,
2009. a
Calonne, N., Montagnat, M., Matzl, M., and Schneebeli, M.: The layered
evolution of fabric and microstructure of snow at Point Barnola, Central East
Antarctica, Earth Planet. Sc. Lett., 460, 293–301,
https://doi.org/10.1016/j.epsl.2016.11.041, 2017. a
Chen, B., Haeger, C., Kaban, M. K., and Petrunin, A. G.: Variations of the
effective elastic thickness reveal tectonic fragmentation of the Antarctic
lithosphere, Tectonophysics, 746, 412–424,
https://doi.org/10.1016/j.tecto.2017.06.012, 2018. a, b
Conrad, P. R., Davis, A. D., Marzouk, Y. M., Pillai, N. S., and Smith, A.:
Parallel Local Approximation MCMC for Expensive Models, SIAM/ASA J. Uncertainty Quantification,
6, 339–373, https://doi.org/10.1137/16m1084080, 2018. a
Cornford, S. L., Martin, D. F., Payne, A. J., Ng, E. G., Le Brocq, A. M.,
Gladstone, R. M., Edwards, T. L., Shannon, S. R., Agosta, C., van den Broeke,
M. R., Hellmer, H. H., Krinner, G., Ligtenberg, S. R. M., Timmermann, R., and
Vaughan, D. G.: Century-scale simulations of the response of the West
Antarctic Ice Sheet to a warming climate, The Cryosphere, 9, 1579–1600,
https://doi.org/10.5194/tc-9-1579-2015, 2015. a, b
Cornford, S. L., Martin, D. F., Lee, V., Payne, A. J., and Ng, E. G.: Adaptive
mesh refinement versus subgrid friction interpolation in simulations of
Antarctic ice dynamics, Ann. Glaciol., 57, 1–9, https://doi.org/10.1017/aog.2016.13,
2016. a
Crestaux, T., Le Maître, O., and Martinez, J.-M.: Polynomial chaos
expansion for sensitivity analysis, Reliab. Eng. Syst. Safe., 94, 1161–1172,
https://doi.org/10.1016/j.ress.2008.10.008, 2009. a, b
de Boer, B., Dolan, A. M., Bernales, J., Gasson, E., Goelzer, H., Golledge,
N. R., Sutter, J., Huybrechts, P., Lohmann, G., Rogozhina, I., Abe-Ouchi, A.,
Saito, F., and van de Wal, R. S. W.: Simulating the Antarctic ice sheet in
the late-Pliocene warm period: PLISMIP-ANT, an ice-sheet model
intercomparison project, The Cryosphere, 9, 881–903,
https://doi.org/10.5194/tc-9-881-2015, 2015. a
Depoorter, M. A., Bamber, J. L., Griggs, J. A., Lenaerts, J. T. M., Ligtenberg,
S. R. M., van den Broeke, M. R., and Moholdt, G.: Calving fluxes and basal
melt rates of Antarctic ice shelves, Nature, 502, 89–92,
https://doi.org/10.1038/nature12567, 2013. a, b
Dinniman, M. S., Klinck, J. M., and Hofmann, E. E.: Sensitivity of Circumpolar
Deep Water Transport and Ice Shelf Basal Melt along the West Antarctic
Peninsula to Changes in the Winds, J. Climate, 25, 4799–4816,
https://doi.org/10.1175/jcli-d-11-00307.1, 2012. a, b
Docquier, D., Perichon, L., and Pattyn, F.: Representing Grounding Line
Dynamics in Numerical Ice Sheet Models: Recent Advances and Outlook, Surv.
Geophys., 32, 417–435, https://doi.org/10.1007/s10712-011-9133-3, 2011. a
Drouet, A. S., Docquier, D., Durand, G., Hindmarsh, R., Pattyn, F.,
Gagliardini, O., and Zwinger, T.: Grounding line transient response in marine
ice sheet models, The Cryosphere, 7, 395–406,
https://doi.org/10.5194/tc-7-395-2013, 2013. a, b
Edwards, T. L., Brandon, M. A., Durand, G., Edwards, N. R., Golledge, N. R.,
Holden, P. B., Nias, I. J., Payne, A. J., Ritz, C., and Wernecke, A.:
Revisiting Antarctic ice loss due to marine ice-cliff instability, Nature,
566, 58–64, https://doi.org/10.1038/s41586-019-0901-4, 2019. a, b
Fajraoui, N., Marelli, S., and Sudret, B.: Sequential Design of Experiment for
Sparse Polynomial Chaos Expansions, SIAM/ASA J. Uncertainty Quantification, 5, 1061–1085,
https://doi.org/10.1137/16m1103488, 2017. a
Favier, L., Durand, G., Cornford, S. L., Gudmundsson, G. H., Gagliardini, O.,
Gillet-Chaulet, F., Zwinger, T., Payne, A. J., and Le Brocq, A. M.: Retreat
of Pine Island Glacier controlled by marine ice-sheet instability, Nat. Clim.
Change, 4, 117–121, https://doi.org/10.1038/nclimate2094, 2014. a, b
French, J. P. and Hoeting, J. A.: Credible regions for exceedance sets of
geostatistical data, Environmetrics, 27, 4–14, https://doi.org/10.1002/env.2371, 2015. a
Fretwell, P., Pritchard, H. D., Vaughan, D. G., Bamber, J. L., Barrand, N.
E., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G.,
Catania, G., Callens, D., Conway, H., Cook, A. J., Corr, H. F. J., Damaske,
D., Damm, V., Ferraccioli, F., Forsberg, R., Fujita, S., Gim, Y., Gogineni,
P., Griggs, J. A., Hindmarsh, R. C. A., Holmlund, P., Holt, J. W., Jacobel,
R. W., Jenkins, A., Jokat, W., Jordan, T., King, E. C., Kohler, J., Krabill,
W., Riger-Kusk, M., Langley, K. A., Leitchenkov, G., Leuschen, C., Luyendyk,
B. P., Matsuoka, K., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A.,
Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N.,
Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tinto,
B. K., Welch, B. C., Wilson, D., Young, D. A., Xiangbin, C., and Zirizzotti,
A.: Bedmap2: improved ice bed, surface and thickness datasets for Antarctica,
The Cryosphere, 7, 375–393, https://doi.org/10.5194/tc-7-375-2013, 2013. a, b, c, d
Fürst, J. J., Durand, G., Gillet-Chaulet, F., Tavard, L., Rankl, M., Braun,
M., and Gagliardini, O.: The safety band of Antarctic ice shelves, Nat. Clim.
Change, 6, 479–482, https://doi.org/10.1038/nclimate2912, 2016. a
Ghanem, R., Higdon, R., and Owhadi, H. (Eds.): Handbook of Uncertainty
Quantification, Springer, https://doi.org/10.1007/978-3-319-12385-1, 2017. a, b, c, d
Ghanem, R. G. and Spanos, P. D.: Stochastic Finite Elements: A Spectral
Approach, Dover Publications, Mineola, New York, revised edition, 2003. a
Gillet-Chaulet, F., Durand, G., Gagliardini, O., Mosbeux, C., Mouginot, J.,
Rémy, F., and Ritz, C.: Assimilation of surface velocities acquired
between 1996 and 2010 to constrain the form of the basal friction law under
Pine Island Glacier, Geophys. Res. Lett., 43, 10311–10321,
https://doi.org/10.1002/2016gl069937, 2016. a, b, c
Gladstone, R., Schäfer, M., Zwinger, T., Gong, Y., Strozzi, T., Mottram,
R., Boberg, F., and Moore, J. C.: Importance of basal processes in
simulations of a surging Svalbard outlet glacier, The Cryosphere, 8,
1393–1405, https://doi.org/10.5194/tc-8-1393-2014, 2014. a
Gladstone, R. M., Warner, R. C., Galton-Fenzi, B. K., Gagliardini, O.,
Zwinger, T., and Greve, R.: Marine ice sheet model performance depends on
basal sliding physics and sub-shelf melting, The Cryosphere, 11, 319–329,
https://doi.org/10.5194/tc-11-319-2017, 2017. a
Goelzer, H., Nowicki, S., Edwards, T., Beckley, M., Abe-Ouchi, A.,
Aschwanden, A., Calov, R., Gagliardini, O., Gillet-Chaulet, F., Golledge, N.
R., Gregory, J., Greve, R., Humbert, A., Huybrechts, P., Kennedy, J. H.,
Larour, E., Lipscomb, W. H., Le clec'h, S., Lee, V., Morlighem, M., Pattyn,
F., Payne, A. J., Rodehacke, C., Rückamp, M., Saito, F., Schlegel, N.,
Seroussi, H., Shepherd, A., Sun, S., van de Wal, R., and Ziemen, F. A.:
Design and results of the ice sheet model initialisation experiments
initMIP-Greenland: an ISMIP6 intercomparison, The Cryosphere, 12, 1433–1460,
https://doi.org/10.5194/tc-12-1433-2018, 2018. a
Golledge, N. R., Levy, R. H., McKay, R. M., and Naish, T. R.: East Antarctic
ice sheet most vulnerable to Weddell Sea warming, Geophys. Res. Lett., 44,
2343–2351, https://doi.org/10.1002/2016gl072422, 2017. a
Golledge, N. R., Keller, E. D., Gomez, N., Naughten, K. A., Bernales, J.,
Trusel, L. D., and Edwards, T. L.: Global environmental consequences of
twenty-first-century ice-sheet melt, Nature, 566, 65–72,
https://doi.org/10.1038/s41586-019-0889-9, 2019. a, b
Gomez, N., Mitrovica, J. X., Huybers, P., and Clark, P. U.: Sea level as a
stabilizing factor for marine-ice-sheet grounding lines, Nat. Geosci., 3,
850–853, https://doi.org/10.1038/ngeo1012, 2010. a
Gomez, N., Pollard, D., and Mitrovica, J. X.: A 3-D coupled ice sheet
– sea level model applied to Antarctica through the last 40 ky,
Earth Planet. Sc. Lett., 384, 88–99, https://doi.org/10.1016/j.epsl.2013.09.042, 2013. a
Gopalan, G., Hrafnkelsson, B., Aðalgeirsdóttir, G., Jarosch, A. H., and
Pálsson, F.: A Bayesian hierarchical model for glacial dynamics based on
the shallow ice approximation and its evaluation using analytical solutions,
The Cryosphere, 12, 2229–2248, https://doi.org/10.5194/tc-12-2229-2018,
2018. a
Greve, R. and Blatter, H.: Dynamics of Ice Sheets and Glaciers, Advances in
Geophysical and Environmental Mechanics and Mathematics, Springer-Verlag
Berlin Heidelberg, https://doi.org/10.1007/978-3-642-03415-2, 2009. a, b, c, d
Hadigol, M. and Doostan, A.: Least squares polynomial chaos expansion: A review
of sampling strategies, Comput. Method. Appl. M., 332, 382–407,
https://doi.org/10.1016/j.cma.2017.12.019, 2018. a, b
Hellmer, H. H., Kauker, F., Timmermann, R., Determann, J., and Rae, J.:
Twenty-first-century warming of a large Antarctic ice-shelf cavity by a
redirected coastal current, Nature, 485, 225–228, https://doi.org/10.1038/nature11064,
2012. a, b, c
Hellmer, H. H., Kauker, F., Timmermann, R., and Hattermann, T.: The Fate of the
Southern Weddell Sea Continental Shelf in a Warming Climate, J. Climate, 30,
4337–4350, https://doi.org/10.1175/jcli-d-16-0420.1, 2017. a, b, c
Holland, P. R., Jenkins, A., and Holland, D. M.: The Response of Ice Shelf
Basal Melting to Variations in Ocean Temperature, J. Climate, 21, 2558–2572,
https://doi.org/10.1175/2007jcli1909.1, 2008. a
Hutter, K.: Theoretical Glaciology: Material Science of Ice and the Mechanics
of Glaciers and Ice Sheets, D. Reidel Publishing Company,
https://doi.org/10.1007/978-94-015-1167-4, 1983. a
Huybrechts, P. and de Wolde, J.: The Dynamic Response of the Greenland and
Antarctic Ice Sheets to Multiple-Century Climatic Warming, J. Climate, 12,
2169–2188, https://doi.org/10.1175/1520-0442(1999)012<2169:tdrotg>2.0.co;2, 1999. a, b
Isaac, T., Petra, N., Stadler, G., and Ghattas, O.: Scalable and efficient
algorithms for the propagation of uncertainty from data through inference to
prediction for large-scale problems, with application to flow of the
Antarctic ice sheet, J. Comput. Phys., 296, 348–368,
https://doi.org/10.1016/j.jcp.2015.04.047, 2015. a
Iskandarani, M., Wang, S., Srinivasan, A., Thacker, W. C., Winokur, J., and
Knio, O. M.: An overview of uncertainty quantification techniques with
application to oceanic and oil-spill simulations, J. Geophys. Res.-Oceans,
121, 2789–2808, https://doi.org/10.1002/2015jc011366, 2016. a
Jacobs, S. S., Jenkins, A., Giulivi, C. F., and Dutrieux, P.: Stronger ocean
circulation and increased melting under Pine Island Glacier ice shelf, Nat.
Geosci., 4, 519–523, https://doi.org/10.1038/ngeo1188, 2011. a
Janssens, I. and Huybrechts, P.: The treatment of meltwater retention in
mass-balance parameterizations of the Greenland ice sheet, Ann. Glaciol., 31,
133–140, https://doi.org/10.3189/172756400781819941, 2000. a, b
Joughin, I., Tulaczyk, S., Bamber, J. L., Blankenship, D., Holt, J. W.,
Scambos, T., and Vaughan, D. G.: Basal conditions for Pine Island and
Thwaites Glaciers, West Antarctica, determined using satellite and airborne
data, J. Glaciol., 55, 245–257, https://doi.org/10.3189/002214309788608705, 2009. a
Joughin, I., Smith, B. E., and Holland, D. M.: Sensitivity of 21st century sea
level to ocean-induced thinning of Pine Island Glacier, Antarctica, Geophys.
Res. Lett., 37, L20502, https://doi.org/10.1029/2010gl044819, 2010. a
Joughin, I., Smith, B. E., and Medley, B.: Marine Ice Sheet Collapse
Potentially Under Way for the Thwaites Glacier Basin, West Antarctica,
Science, 344, 735–738, https://doi.org/10.1126/science.1249055, 2014. a, b
Knutti, R., Furrer, R., Tebaldi, C., Cermak, J., and Meehl, G. A.: Challenges
in Combining Projections from Multiple Climate Models, J. Climate, 23,
2739–2758, https://doi.org/10.1175/2009jcli3361.1, 2010. a
Kopp, R. E., Horton, R. M., Little, C. M., Mitrovica, J. X., Oppenheimer, M.,
Rasmussen, D. J., Strauss, B. H., and Tebaldi, C.: Probabilistic 21st and
22nd century sea-level projections at a global network of tide-gauge sites,
Earth's Future, 2, 383–406, https://doi.org/10.1002/2014ef000239,
2014. a
Larour, E., Schiermeier, J., Rignot, E., Seroussi, H., Morlighem, M., and
Paden, J.: Sensitivity Analysis of Pine Island Glacier ice flow using ISSM
and DAKOTA, J. Geophys. Res., 117, F02009, https://doi.org/10.1029/2011jf002146, 2012. a
Le Gratiet, L., Marelli, S., and Sudret, B.: Metamodel-Based Sensitivity
Analysis: Polynomial Chaos Expansions and Gaussian Processes, in: Handbook of
Uncertainty Quantification, edited by: Ghanem, R., Higdon, R., and Owhadi, H.,
chap. 38, 1289–1325, Springer, 2017. a
Le Maître, O. P. and Knio, O. M.: Spectral Methods for Uncertainty
Quantification: With Applications to Computational Fluid Dynamics, Springer
Science & Business Media, https://doi.org/10.1007/978-90-481-3520-2, 2010. a, b, c, d
Lenaerts, J. T. M., Vizcaino, M., Fyke, J., van Kampenhout, L., and van den
Broeke, M. R.: Present-day and future Antarctic ice sheet climate and
surface mass balance in the Community Earth System Model, Clim. Dynam., 47,
1367–1381, https://doi.org/10.1007/s00382-015-2907-4, 2016. a
Ma, Y., Gagliardini, O., Ritz, C., Gillet-Chaulet, F., Durand, G., and
Montagnat, M.: Enhancement factors for grounded ice and ice shelves inferred
from an anisotropic ice-flow model, J. Glaciol., 56, 805–812,
https://doi.org/10.3189/002214310794457209, 2010. a
MacAyeal, D. R.: Large-Scale Ice Flow over a Viscous Basal Sediment: Theory and
Application to Ice Stream B, Antarctica, J. Geophys. Res., 94, 4071–4087,
https://doi.org/10.1029/jb094ib04p04071, 1989. a
Maris, M. N. A., de Boer, B., Ligtenberg, S. R. M., Crucifix, M., van de
Berg, W. J., and Oerlemans, J.: Modelling the evolution of the Antarctic ice
sheet since the last interglacial, The Cryosphere, 8, 1347–1360,
https://doi.org/10.5194/tc-8-1347-2014, 2014. a, b, c
Moholdt, G., Padman, L., and Fricker, H. A.: Basal mass budget of Ross and
Filchner-Ronne ice shelves, Antarctica, derived from Lagrangian analysis of
ICESat altimetry, J. Geophys. Res.-Earth, 119, 2361–2380,
https://doi.org/10.1002/2014jf003171, 2014. a
Morland, L. W.: Unconfined Ice-Shelf Flow, in: Dynamics of the West Antarctic
Ice Sheet, edited by: van der Veen, C. J. and Oerlemans, J.,
Kluwer Academic Publishers, 99–116, https://doi.org/10.1007/978-94-009-3745-1_6, 1987. a
Nowicki, S. M. J., Payne, A., Larour, E., Seroussi, H., Goelzer, H.,
Lipscomb, W., Gregory, J., Abe-Ouchi, A., and Shepherd, A.: Ice Sheet Model
Intercomparison Project (ISMIP6) contribution to CMIP6, Geosci. Model Dev.,
9, 4521–4545, https://doi.org/10.5194/gmd-9-4521-2016, 2016. a
Oakley, J. E. and O'Hagan, A.: Probabilistic sensitivity
analysis of complex models: a Bayesian approach, J. R. Stat. Soc. B, 66,
751–769, https://doi.org/10.1111/j.1467-9868.2004.05304.x, 2004. a
Pattyn, F.: A new three-dimensional higher-order thermomechanical ice sheet
model: Basic sensitivity, ice stream development, and ice flow across
subglacial lakes, J. Geophys. Res., 108, 2382, https://doi.org/10.1029/2002jb002329,
2003. a
Pattyn, F. and Durand, G.: Why marine ice sheet model predictions may diverge
in estimating future sea level rise, Geophys. Res. Lett., 40, 4316–4320,
https://doi.org/10.1002/grl.50824, 2013. a, b
Pattyn, F., Schoof, C., Perichon, L., Hindmarsh, R. C. A., Bueler, E., de
Fleurian, B., Durand, G., Gagliardini, O., Gladstone, R., Goldberg, D.,
Gudmundsson, G. H., Huybrechts, P., Lee, V., Nick, F. M., Payne, A. J.,
Pollard, D., Rybak, O., Saito, F., and Vieli, A.: Results of the Marine Ice
Sheet Model Intercomparison Project, MISMIP, The Cryosphere, 6, 573–588,
https://doi.org/10.5194/tc-6-573-2012, 2012. a, b
Pattyn, F., Perichon, L., Durand, G., Favier, L., Gagliardini, O., Hindmarsh,
R. C. A., Zwinger, T., Albrecht, T., Cornford, S., Docquier, D., Fürst,
J. J., Goldberg, D., Gudmundsson, G. H., Humbert, A., Hütten, M.,
Huybrechts, P., Jouvet, G., Kleiner, T., Larour, E., Martin, D., Morlighem,
M., Payne, A. J., Pollard, D., Rückamp, M., Rybak, O., Seroussi, H., Thoma,
M., and Wilkens, N.: Grounding-line migration in plan-view marine ice-sheet
models: results of the ice2sea MISMIP3d intercomparison, J. Glaciol., 59,
410–422, https://doi.org/10.3189/2013jog12j129, 2013. a, b, c, d, e
Pattyn, F., Favier, L., Sun, S., and Durand, G.: Progress in Numerical Modeling
of Antarctic Ice-Sheet Dynamics, Curr. Clim. Change Rep., 3, 174–184,
https://doi.org/10.1007/s40641-017-0069-7, 2017. a
Pattyn, F., Ritz, C., Hanna, E., Asay-Davis, X., DeConto, R., Durand, G.,
Favier, L., Fettweis, X., Goelzer, H., Golledge, N. R., Munneke, P. K.,
Lenaerts, J. T. M., Nowicki, S., Payne, A. J., Robinson, A., Seroussi, H.,
Trusel, L. D., and van den Broeke, M.: The Greenland and Antarctic ice
sheets under 1.5 ∘C global warming, Nat. Clim. Change, 8,
1053–1061, https://doi.org/10.1038/s41558-018-0305-8, 2018. a, b
Petra, N., Martin, J., Stadler, G., and Ghattas, O.: A Computational Framework
for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic
Newton MCMC with Application to Ice Sheet Flow Inverse Problems, SIAM J.
Sci. Comput., 36, A1525–A1555, https://doi.org/10.1137/130934805, 2014. a
Pollard, D. and DeConto, R. M.: Modelling West Antarctic ice sheet growth and
collapse through the past five million years, Nature, 458, 329–332,
https://doi.org/10.1038/nature07809, 2009. a
Pollard, D. and DeConto, R. M.: A simple inverse method for the distribution
of basal sliding coefficients under ice sheets, applied to Antarctica, The
Cryosphere, 6, 953–971, https://doi.org/10.5194/tc-6-953-2012, 2012b. a
Pollard, D., DeConto, R. M., and Alley, R. B.: Potential Antarctic Ice Sheet
retreat driven by hydrofracturing and ice cliff failure, Earth Planet. Sc.
Lett., 412, 112–121, https://doi.org/10.1016/j.epsl.2014.12.035, 2015. a, b
Pollard, D., Chang, W., Haran, M., Applegate, P., and DeConto, R.: Large
ensemble modeling of the last deglacial retreat of the West Antarctic Ice
Sheet: comparison of simple and advanced statistical techniques, Geosci.
Model Dev., 9, 1697–1723, https://doi.org/10.5194/gmd-9-1697-2016, 2016. a, b, c
Pritchard, H. D., Ligtenberg, S. R. M., Fricker, H. A., Vaughan, D. G., van
den Broeke, M. R., and Padman, L.: Antarctic ice-sheet loss driven by basal
melting of ice shelves, Nature, 484, 502–505, https://doi.org/10.1038/nature10968,
2012. a
Rasmussen, C. E. and Williams, C. K. I.: Gaussian Processes for Machine
Learning, Adaptive Computation and Machine Learning, The MIT Press,
Cambridge, Massachussetts, 2006. a
Reese, R., Albrecht, T., Mengel, M., Asay-Davis, X., and Winkelmann, R.:
Antarctic sub-shelf melt rates via PICO, The Cryosphere, 12, 1969–1985,
https://doi.org/10.5194/tc-12-1969-2018, 2018a. a, b, c, d
Reese, R., Winkelmann, R., and Gudmundsson, G. H.: Grounding-line flux
formula applied as a flux condition in numerical simulations fails for
buttressed Antarctic ice streams, The Cryosphere, 12, 3229–3242,
https://doi.org/10.5194/tc-12-3229-2018, 2018b. a
Rignot, E., Jacobs, S., Mouginot, J., and Scheuchl, B.: Ice-Shelf Melting
Around Antarctica, Science, 341, 266–270, https://doi.org/10.1126/science.1235798,
2013. a, b
Rignot, E., Mouginot, J., Morlighem, M., Seroussi, H., and Scheuchl, B.:
Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith, and
Kohler glaciers, West Antarctica, from 1992 to 2011, Geophys. Res. Lett., 41,
3502–3509, https://doi.org/10.1002/2014gl060140, 2014. a, b
Robert, C. P. and Casella, G.: Monte Carlo Statistical Methods, Springer Texts
in Statistics, Springer Science & Business Media, 2nd Edn.,
https://doi.org/10.1007/978-1-4757-4145-2, 2013. a
Rommelaere, V. and Ritz, C.: A thermomechanical model of ice-shelf flow, Ann.
Glaciol., 23, 13–20, https://doi.org/10.3189/s0260305500013203, 1996. a
Ruckert, K. L., Shaffer, G., Pollard, D., Guan, Y., Wong, T. E., Forest, C. E.,
and Keller, K.: Assessing the Impact of Retreat Mechanisms in a Simple
Antarctic Ice Sheet Model Using Bayesian Calibration, PLoS ONE, 12,
e0170052, https://doi.org/10.1371/journal.pone.0170052, 2017. a, b
Schlegel, N.-J., Seroussi, H., Schodlok, M. P., Larour, E. Y., Boening, C.,
Limonadi, D., Watkins, M. M., Morlighem, M., and van den Broeke, M. R.:
Exploration of Antarctic Ice Sheet 100-year contribution to sea level rise
and associated model uncertainties using the ISSM framework, The Cryosphere,
12, 3511–3534, https://doi.org/10.5194/tc-12-3511-2018, 2018. a, b, c, d, e, f, g, h
Schmidtko, S., Heywood, K. J., Thompson, A. F., and Aoki, S.: Multidecadal
warming of Antarctic waters, Science, 346, 1227–1231,
https://doi.org/10.1126/science.1256117, 2014. a, b, c
Schoof, C.: Ice sheet grounding line dynamics: Steady states, stability and
hysteresis, J. Geophys. Res., 112, F03S28, https://doi.org/10.1029/2006JF000664,
2007a. a, b
Schoof, C.: Marine ice-sheet dynamics. Part 1. The case of rapid sliding, J.
Fluid. Mech., 573, 27–55, https://doi.org/10.1017/s0022112006003570,
2007b. a, b, c
Schoof, C., Davis, A. D., and Popa, T. V.: Boundary layer models for calving
marine outlet glaciers, The Cryosphere, 11, 2283–2303,
https://doi.org/10.5194/tc-11-2283-2017, 201 a
Schäfer, M., Zwinger, T., Christoffersen, P., Gillet-Chaulet, F., Laakso,
K., Pettersson, R., Pohjola, V. A., Strozzi, T., and Moore, J. C.:
Sensitivity of basal conditions in an inverse model: Vestfonna ice cap,
Nordaustlandet/Svalbard, The Cryosphere, 6, 771–783,
https://doi.org/10.5194/tc-6-771-2012, 2012. a
Scott, D. W.: Multivariate Density Estimation: : Theory, Practice, and
Visualization, John Wiley & Sons, 2nd Edn., https://doi.org/10.1002/9781118575574,
2015. a
Shepherd, A., Ivins, E., Rignot, E., Smith, B., van den Broeke, M.,
Velicogna, I., Whitehouse, P., Briggs, K., Joughin, I., Krinner, G., Nowicki,
S., Payne, T., Scambos, T., Schlegel, N. A. G., Agosta, C., Ahlstrøm, A.,
Babonis, G., Barletta, V., Blazquez, A., Bonin, J., Csatho, B., Cullather,
R., Felikson, D., Fettweis, X., Forsberg, R., Gallee, H., Gardner, A.,
Gilbert, L., Groh, A., Gunter, B., Hanna, E., Harig, C., Helm, V., Horvath,
A., Horwath, M., Khan, S., Kjeldsen, K. K., Konrad, H., Langen, P.,
Lecavalier, B., Loomis, B., Luthcke, S., McMillan, M., Melini, D., Mernild,
S., Mohajerani, Y., Moore, P., Mouginot, J., Moyano, G., Muir, A., Nagler,
T., Nield, G., Nilsson, J., Noel, B., Otosaka, I., Pattle, M. E., Peltier,
W. R., Pie, N., Rietbroek, R., Rott, H., Sandberg-Sørensen, L., Sasgen,
I., Save, H., Scheuchl, B., Schrama, E., Schröder, L., Seo, K.-W.,
Simonsen, S., Slater, T., Spada, G., Sutterley, T., Talpe, M., Tarasov, L.,
van de Berg, W. J., van der Wal, W., van Wessem, M., Vishwakarma,
B. D., Wiese, D., and Wouters, B.: Mass balance of the Antarctic Ice Sheet
from 1992 to 2017, Nature, 558, 219–222, https://doi.org/10.1038/s41586-018-0179-y,
2018. a
Stein, M.: Large Sample Properties of Simulations Using Latin Hypercube
Sampling, Technometrics, 29, 143–151, https://doi.org/10.2307/1269769, 1987. a, b
Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boshung,
J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M. (Eds.): Climate Change
2013: The Physical Science Basis. Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
Cambridge University Press, Cambridge, United Kingdom,
https://doi.org/10.1017/cbo9781107415324, 2013. a
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/bams-d-11-00094.1, 2012. a, b
Timmermann, R. and Hellmer, H. H.: Southern Ocean warming and increased ice
shelf basal melting in the twenty-first and twenty-second centuries based on
coupled ice-ocean finite-element modelling, Ocean Dynam., 63, 1011–1026,
https://doi.org/10.1007/s10236-013-0642-0, 2013. a, b
Timmermann, R., Wang, Q., and Hellmer, H.: Ice-shelf basal melting in a global
finite-element sea-ice/ice-shelf/ocean model, Ann. Glaciol., 53, 303–314,
https://doi.org/10.3189/2012aog60a156, 2012. a
Tsai, V. C., Stewart, A. L., and Thompson, A. F.: Marine ice-sheet profiles and
stability under Coulomb basal conditions, J. Glaciol., 61, 205–215,
https://doi.org/10.3189/2015jog14j221, 2015. a, b, c, d
Van der Wal, W., Whitehouse, P. L., and Schrama, E. J. O.: Effect of GIA
models with 3D composite mantle viscosity on GRACE mass balance estimates
for Antarctica, Earth Planet. Sc. Lett., 414, 134–143,
https://doi.org/10.1016/j.epsl.2015.01.001, 2015. a, b
Van Wessem, J., Reijmer, C. H., Morlighem, M., Mouginot, J., Rignot, E.,
Medley, B., Joughin, I., Wouters, B., Depoorter, M. A., Bamber, J. L.,
Lenaerts, J. T. M., van de Berg, W. J., van den Broeke, M. R., and van
Meijgaard, E.: Improved representation of East Antarctic surface mass
balance in a regional atmospheric climate model, J. Glaciol., 60, 761–770,
https://doi.org/10.3189/2014jog14j051, 2014. a
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G., Kwok, R.,
Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O., Steffen,
K., and Zhang, T.: Observations: Cryosphere, in: Climate Change 2013: The
Physical Science Basis. Contribution of Working Group I to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change, edited
by:
Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung,
J., Nauels, A., Xi, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, 317–382, 2013. a
Waibel, M. S., Hulbe, C. L., Jackson, C. S., and Martin, D. F.: Rate of Mass
Loss Across the Instability Threshold for Thwaites Glacier Determines Rate of
Mass Loss for Entire Basin, Geophys. Res. Lett., 45, 809–816,
https://doi.org/10.1002/2017gl076470, 2018. a, b, c
Weertman, J.: On the Sliding of Glaciers, J. Glaciol., 3, 33–38,
https://doi.org/10.3189/s0022143000024709, 1957. a
Weis, M., Greve, R., and Hutter, K.: Theory of shallow ice shelves, Continuum
Mech. Therm., 11, 15–50, https://doi.org/10.1007/s001610050102, 1999. a
Yu, H., Rignot, E., Seroussi, H., and Morlighem, M.: Retreat of Thwaites
Glacier, West Antarctica, over the next 100 years using various ice flow
models, ice shelf melt scenarios and basal friction laws, The Cryosphere, 12,
3861–3876, https://doi.org/10.5194/tc-12-3861-2018, 2018. a
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Short summary
Using probabilistic methods, we quantify the uncertainty in the Antarctic ice-sheet response to climate change over the next millennium under the four RCP scenarios and parametric uncertainty. We find that the ice sheet is stable in RCP 2.6 regardless of parametric uncertainty, while West Antarctica undergoes disintegration in RCP 8.5 almost regardless of parametric uncertainty. We also show a high sensitivity of the ice-sheet response to uncertainty in sub-shelf melting and sliding conditions.
Using probabilistic methods, we quantify the uncertainty in the Antarctic ice-sheet response to...
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