Articles | Volume 15, issue 1
The Cryosphere, 15, 459–478, 2021
https://doi.org/10.5194/tc-15-459-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Cryosphere, 15, 459–478, 2021
https://doi.org/10.5194/tc-15-459-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
28 Jan 2021
Research article
| 28 Jan 2021
Sensitivity of the Antarctic ice sheets to the warming of marine isotope substage 11c
Martim Mas e Braga et al.
Related authors
Martim Mas e Braga, Richard Selwyn Jones, Jennifer C. H. Newall, Irina Rogozhina, Jane L. Andersen, Nathaniel A. Lifton, and Arjen P. Stroeven
The Cryosphere, 15, 4929–4947, https://doi.org/10.5194/tc-15-4929-2021, https://doi.org/10.5194/tc-15-4929-2021, 2021
Short summary
Short summary
Mountains higher than the ice surface are sampled to know when the ice reached the sampled elevation, which can be used to guide numerical models. This is important to understand how much ice will be lost by ice sheets in the future. We use a simple model to understand how ice flow around mountains affects the ice surface topography and show how much this influences results from field samples. We also show that models need a finer resolution over mountainous areas to better match field samples.
Brian R. Crow, Matthias Prange, and Michael Schulz
Clim. Past, 18, 775–792, https://doi.org/10.5194/cp-18-775-2022, https://doi.org/10.5194/cp-18-775-2022, 2022
Short summary
Short summary
To better understand the climate conditions which lead to extensive melting of the Greenland ice sheet, we used climate models to reconstruct the climate conditions of the warmest period of the last 800 000 years, which was centered around 410 000 years ago. Surprisingly, we found that atmospheric circulation changes may have acted to reduce the melt of the ice sheet rather than enhance it, despite the extensive warmth of the time.
Yongmei Gong and Irina Rogozhina
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-500, https://doi.org/10.5194/hess-2021-500, 2021
Preprint under review for HESS
Short summary
Short summary
The results from our snow evolution modeling of glacierized drainage basins in western Norway forced by bias-corrected, IPCC class regional climate model experiment CORDEX outputs reveal that the applicability of such forcing to directly drive local scale projections is not satisfactory. It is necessary to correct the original CORDEX datasets for bias against reference data that represent the current climate conditions of a specific area of interest for future projections.
Martim Mas e Braga, Richard Selwyn Jones, Jennifer C. H. Newall, Irina Rogozhina, Jane L. Andersen, Nathaniel A. Lifton, and Arjen P. Stroeven
The Cryosphere, 15, 4929–4947, https://doi.org/10.5194/tc-15-4929-2021, https://doi.org/10.5194/tc-15-4929-2021, 2021
Short summary
Short summary
Mountains higher than the ice surface are sampled to know when the ice reached the sampled elevation, which can be used to guide numerical models. This is important to understand how much ice will be lost by ice sheets in the future. We use a simple model to understand how ice flow around mountains affects the ice surface topography and show how much this influences results from field samples. We also show that models need a finer resolution over mountainous areas to better match field samples.
Pepijn Bakker, Irina Rogozhina, Ute Merkel, and Matthias Prange
Clim. Past, 16, 371–386, https://doi.org/10.5194/cp-16-371-2020, https://doi.org/10.5194/cp-16-371-2020, 2020
Short summary
Short summary
Northeastern Siberia is currently known for its harsh cold climate, but remarkably it did not experience large-scale glaciation during the last ice age. We show that the region is also exceptional in climate models. As a result of subtle changes in model setup, climate models show a strong divergence in simulated glacial summer temperatures that is ultimately driven by changes in the circumpolar atmospheric stationary wave pattern and associated northward heat transport to northeastern Siberia.
Gerlinde Jung and Matthias Prange
Clim. Past, 16, 161–181, https://doi.org/10.5194/cp-16-161-2020, https://doi.org/10.5194/cp-16-161-2020, 2020
Short summary
Short summary
All major mountain ranges were uplifted during Earth's history. Previous work showed that African uplift might have influenced upper-ocean cooling in the Benguela region. But the surface ocean cooled also in other upwelling regions during the last 10 million years. We performed a set of model experiments altering topography in major mountain regions to explore the effects on atmosphere and ocean. The simulations show that mountain uplift is important for upper-ocean temperature evolution.
Axel Wagner, Gerrit Lohmann, and Matthias Prange
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-172, https://doi.org/10.5194/gmd-2018-172, 2018
Publication in GMD not foreseen
Short summary
Short summary
This study demonstrates the dependence of simulated surface air temperatures on variations in grid resolution and resolution-dependent orography in simulations of the Mid-Holocene. A set of Mid-Holocene sensitivity experiments is carried out. The simulated Mid-Holocene temperature differences (low versus high resolution) reveal a response that regionally exceeds the Mid-Holocene to preindustrial modelled temperature anomalies, and show partly reversed signs across the same geographical regions.
Andrea Klus, Matthias Prange, Vidya Varma, Louis Bruno Tremblay, and Michael Schulz
Clim. Past, 14, 1165–1178, https://doi.org/10.5194/cp-14-1165-2018, https://doi.org/10.5194/cp-14-1165-2018, 2018
Short summary
Short summary
Numerous proxy records from the northern North Atlantic suggest substantial climate variability including the occurrence of multi-decadal-to-centennial cold events during the Holocene. We analyzed two abrupt cold events in a Holocene simulation using a comprehensive climate model. It is shown that the events were ultimately triggered by prolonged phases of positive North Atlantic Oscillation causing changes in ocean circulation followed by severe cooling, freshening, and expansion of sea ice.
Amanda Frigola, Matthias Prange, and Michael Schulz
Geosci. Model Dev., 11, 1607–1626, https://doi.org/10.5194/gmd-11-1607-2018, https://doi.org/10.5194/gmd-11-1607-2018, 2018
Short summary
Short summary
The application of climate models to study the Middle Miocene Climate Transition, characterized by major Antarctic ice-sheet expansion and global cooling at the interval 15–13 million years ago, is currently hampered by the lack of boundary conditions. To fill this gap, we compiled two internally consistent sets of boundary conditions, including global topography, bathymetry, vegetation and ice volume, for the periods before and after the transition.
Jorge Bernales, Irina Rogozhina, Ralf Greve, and Maik Thomas
The Cryosphere, 11, 247–265, https://doi.org/10.5194/tc-11-247-2017, https://doi.org/10.5194/tc-11-247-2017, 2017
Short summary
Short summary
This study offers a hard test to the models commonly used to simulate an ice sheet evolution over multimillenial timescales. Using an example of the Antarctic Ice Sheet, we evaluate the performance of such models against observations and highlight a strong impact of different approaches towards modeling rapidly flowing ice sectors. In particular, our results show that inferences of previous studies may need significant adjustments to be adopted by a different type of ice sheet models.
Vidya Varma, Matthias Prange, and Michael Schulz
Geosci. Model Dev., 9, 3859–3873, https://doi.org/10.5194/gmd-9-3859-2016, https://doi.org/10.5194/gmd-9-3859-2016, 2016
Short summary
Short summary
We compare the results from simulations of the present and the last interglacial, with and without acceleration of the orbital forcing, using a comprehensive coupled climate model. In low latitudes, the simulation of long-term variations in interglacial surface climate is not significantly affected by the use of the acceleration technique and hence model–data comparison of surface variables is therefore not hampered but major repercussions of the orbital forcing are obvious below thermocline.
Rima Rachmayani, Matthias Prange, and Michael Schulz
Clim. Past, 12, 677–695, https://doi.org/10.5194/cp-12-677-2016, https://doi.org/10.5194/cp-12-677-2016, 2016
Short summary
Short summary
A set of 13 interglacial time slice experiments was carried out using a CCSM3-DGVM to study global climate variability between and within the Quaternary interglaciations of MIS 1, 5, 11, 13, and 15. Seasonal surface temperature anomalies can be explained by local insolation anomalies induced by the astronomical forcing in most regions and by GHG forcing at high latitudes and early Bruhnes interglacials. However, climate feedbacks may modify the surface temperature response in specific regions.
Julien Seguinot, Irina Rogozhina, Arjen P. Stroeven, Martin Margold, and Johan Kleman
The Cryosphere, 10, 639–664, https://doi.org/10.5194/tc-10-639-2016, https://doi.org/10.5194/tc-10-639-2016, 2016
Short summary
Short summary
We use a numerical model based on approximated ice flow physics and calibrated against field-based evidence to present numerical simulations of multiple advance and retreat phases of the former Cordilleran ice sheet in North America during the last glacial cycle (120 000 to 0 years before present).
I. Bouimetarhan, L. Dupont, H. Kuhlmann, J. Pätzold, M. Prange, E. Schefuß, and K. Zonneveld
Clim. Past, 11, 751–764, https://doi.org/10.5194/cp-11-751-2015, https://doi.org/10.5194/cp-11-751-2015, 2015
Short summary
Short summary
This study has great paleoclimatic and paleoecological significance, as it deals with the poorly documented tropical SE African ecosystem during the last deglaciation. Changes in the Rufiji upland vegetation evidenced the response of the regional hydrologic system to high-latitude climatic fluctuations associated with ITCZ shifts, while changes in sensitive tropical salt marshes and mangrove communities in the Rufiji lowland evidenced the impact of sea level changes on the intertidal ecosystem.
B. de Boer, A. M. Dolan, J. Bernales, E. Gasson, H. Goelzer, N. R. Golledge, J. Sutter, P. Huybrechts, G. Lohmann, I. Rogozhina, A. Abe-Ouchi, F. Saito, and R. S. W. van de Wal
The Cryosphere, 9, 881–903, https://doi.org/10.5194/tc-9-881-2015, https://doi.org/10.5194/tc-9-881-2015, 2015
Short summary
Short summary
We present results from simulations of the Antarctic ice sheet by means of an intercomparison project with six ice-sheet models. Our results demonstrate the difficulty of all models used here to simulate a significant retreat or re-advance of the East Antarctic ice grounding line. Improved grounding-line physics could be essential for a correct representation of the migration of the grounding line of the Antarctic ice sheet during the Pliocene.
R. Rachmayani, M. Prange, and M. Schulz
Clim. Past, 11, 175–185, https://doi.org/10.5194/cp-11-175-2015, https://doi.org/10.5194/cp-11-175-2015, 2015
Short summary
Short summary
The role of vegetation-precipitation feedbacks in modifying the North African rainfall response to enhanced early to mid-Holocene summer insolation is analysed using the climate-vegetation model CCSM3-DGVM. Dynamic vegetation amplifies the positive early to mid-Holocene summer precipitation anomaly by ca. 20% in the Sahara-Sahel region. The primary vegetation feedback operates through surface latent heat flux anomalies by canopy evapotranspiration and their effect on the African easterly jet.
B. W. Goodfellow, A. P. Stroeven, D. Fabel, O. Fredin, M.-H. Derron, R. Bintanja, and M. W. Caffee
Earth Surf. Dynam., 2, 383–401, https://doi.org/10.5194/esurf-2-383-2014, https://doi.org/10.5194/esurf-2-383-2014, 2014
J. Seguinot, C. Khroulev, I. Rogozhina, A. P. Stroeven, and Q. Zhang
The Cryosphere, 8, 1087–1103, https://doi.org/10.5194/tc-8-1087-2014, https://doi.org/10.5194/tc-8-1087-2014, 2014
I. Rogozhina and D. Rau
The Cryosphere, 8, 575–585, https://doi.org/10.5194/tc-8-575-2014, https://doi.org/10.5194/tc-8-575-2014, 2014
N. Merz, C. C. Raible, H. Fischer, V. Varma, M. Prange, and T. F. Stocker
Clim. Past, 9, 2433–2450, https://doi.org/10.5194/cp-9-2433-2013, https://doi.org/10.5194/cp-9-2433-2013, 2013
M. Kageyama, U. Merkel, B. Otto-Bliesner, M. Prange, A. Abe-Ouchi, G. Lohmann, R. Ohgaito, D. M. Roche, J. Singarayer, D. Swingedouw, and X Zhang
Clim. Past, 9, 935–953, https://doi.org/10.5194/cp-9-935-2013, https://doi.org/10.5194/cp-9-935-2013, 2013
Related subject area
Discipline: Ice sheets | Subject: Antarctic
Net effect of ice-sheet–atmosphere interactions reduces simulated transient Miocene Antarctic ice-sheet variability
Sensitivity of Antarctic surface climate to a new spectral snow albedo and radiative transfer scheme in RACMO2.3p3
Overestimation and adjustment of Antarctic ice flow velocity fields reconstructed from historical satellite imagery
Brief communication: Impact of common ice mask in surface mass balance estimates over the Antarctic ice sheet
Automated mapping of the seasonal evolution of surface meltwater and its links to climate on the Amery Ice Shelf, Antarctica
Review article: Existing and potential evidence for Holocene grounding-line retreat and readvance in Antarctica
Improving surface melt estimation over the Antarctic Ice Sheet using deep learning: a proof of concept over the Larsen Ice Shelf
Mid-Holocene thinning of David Glacier, Antarctica: chronology and controls
TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization
Seasonal evolution of Antarctic supraglacial lakes in 2015–2021 and links to environmental controls
Wind-induced seismic noise at the Princess Elisabeth Antarctica Station
Nunataks as barriers to ice flow: implications for palaeo ice sheet reconstructions
Quantifying the potential future contribution to global mean sea level from the Filchner–Ronne basin, Antarctica
Did Holocene climate changes drive West Antarctic grounding line retreat and readvance?
Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation
Clouds drive differences in future surface melt over the Antarctic ice shelves
Investigating the internal structure of the Antarctic ice sheet: the utility of isochrones for spatiotemporal ice-sheet model calibration
What is the surface mass balance of Antarctica? An intercomparison of regional climate model estimates
Resolving GIA in response to modern and future ice loss at marine grounding lines in West Antarctica
Energetics of surface melt in West Antarctica
Brief communication: Thwaites Glacier cavity evolution
Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion
Assessment of ICESat-2 ice surface elevations over the Chinese Antarctic Research Expedition (CHINARE) route, East Antarctica, based on coordinated multi-sensor observations
Statistical emulation of a perturbed basal melt ensemble of an ice sheet model to better quantify Antarctic sea level rise uncertainties
Environmental drivers of circum-Antarctic glacier and ice shelf front retreat over the last two decades
Aerogeophysical characterization of Titan Dome, East Antarctica, and potential as an ice core target
Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet
Physics-based SNOWPACK model improves representation of near-surface Antarctic snow and firn density
The GRISLI-LSCE contribution to the Ice Sheet Model Intercomparison Project for phase 6 of the Coupled Model Intercomparison Project (ISMIP6) – Part 2: Projections of the Antarctic ice sheet evolution by the end of the 21st century
Recent acceleration of Denman Glacier (1972–2017), East Antarctica, driven by grounding line retreat and changes in ice tongue configuration
ISMIP6-based projections of ocean-forced Antarctic Ice Sheet evolution using the Community Ice Sheet Model
Future surface mass balance and surface melt in the Amundsen sector of the West Antarctic Ice Sheet
Exploring the impact of atmospheric forcing and basal drag on the Antarctic Ice Sheet under Last Glacial Maximum conditions
Drivers of Pine Island Glacier speed-up between 1996 and 2016
Scoring Antarctic surface mass balance in climate models to refine future projections
Distribution and seasonal evolution of supraglacial lakes on Shackleton Ice Shelf, East Antarctica
Mapping the grounding zone of Larsen C Ice Shelf, Antarctica, from ICESat-2 laser altimetry
Impact of coastal East Antarctic ice rises on surface mass balance: insights from observations and modeling
Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys
The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model
ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century
New gravity-derived bathymetry for the Thwaites, Crosson, and Dotson ice shelves revealing two ice shelf populations
Revealing the former bed of Thwaites Glacier using sea-floor bathymetry: implications for warm-water routing and bed controls on ice flow and buttressing
A 14.5-million-year record of East Antarctic Ice Sheet fluctuations from the central Transantarctic Mountains, constrained with cosmogenic 3He, 10Be, 21Ne, and 26Al
Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models
Large-scale englacial folding and deep-ice stratigraphy within the West Antarctic Ice Sheet
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
Lennert B. Stap, Constantijn J. Berends, Meike D. W. Scherrenberg, Roderik S. W. van de Wal, and Edward G. W. Gasson
The Cryosphere, 16, 1315–1332, https://doi.org/10.5194/tc-16-1315-2022, https://doi.org/10.5194/tc-16-1315-2022, 2022
Short summary
Short summary
To gain understanding of how the Antarctic ice sheet responded to CO2 changes during past warm climate conditions, we simulate its variability during the Miocene. We include feedbacks between the ice sheet and atmosphere in our model and force the model using time-varying climate conditions. We find that these feedbacks reduce the amplitude of ice volume variations. Erosion-induced changes in the bedrock below the ice sheet that manifested during the Miocene also have a damping effect.
Christiaan T. van Dalum, Willem Jan van de Berg, and Michiel R. van den Broeke
The Cryosphere, 16, 1071–1089, https://doi.org/10.5194/tc-16-1071-2022, https://doi.org/10.5194/tc-16-1071-2022, 2022
Short summary
Short summary
In this study, we improve the regional climate model RACMO2 and investigate the climate of Antarctica. We have implemented a new radiative transfer and snow albedo scheme and do several sensitivity experiments. When fully tuned, the results compare well with observations and snow temperature profiles improve. Moreover, small changes in the albedo and the investigated processes can lead to a strong overestimation of melt, locally leading to runoff and a reduced surface mass balance.
Rongxing Li, Yuan Cheng, Haotian Cui, Menglian Xia, Xiaohan Yuan, Zhen Li, Shulei Luo, and Gang Qiao
The Cryosphere, 16, 737–760, https://doi.org/10.5194/tc-16-737-2022, https://doi.org/10.5194/tc-16-737-2022, 2022
Short summary
Short summary
Historical velocity maps of the Antarctic ice sheet are valuable for long-term ice flow dynamics analysis. We developed an innovative method for correcting overestimations existing in historical velocity maps. The method is validated rigorously using high-quality Landsat 8 images and then successfully applied to historical velocity maps. The historical change signatures are preserved and can be used for assessing the impact of long-term global climate changes on the ice sheet.
Nicolaj Hansen, Sebastian B. Simonsen, Fredrik Boberg, Christoph Kittel, Andrew Orr, Niels Souverijns, J. Melchior van Wessem, and Ruth Mottram
The Cryosphere, 16, 711–718, https://doi.org/10.5194/tc-16-711-2022, https://doi.org/10.5194/tc-16-711-2022, 2022
Short summary
Short summary
We investigate the impact of different ice masks when modelling surface mass balance over Antarctica. We used ice masks and data from five of the most used regional climate models and a common mask. We see large disagreement between the ice masks, which has a large impact on the surface mass balance, especially around the Antarctic Peninsula and some of the largest glaciers. We suggest a solution for creating a new, up-to-date, high-resolution ice mask that can be used in Antarctic modelling.
Peter A. Tuckett, Jeremy C. Ely, Andrew J. Sole, James M. Lea, Stephen J. Livingstone, Julie M. Jones, and J. Melchior van Wessem
The Cryosphere, 15, 5785–5804, https://doi.org/10.5194/tc-15-5785-2021, https://doi.org/10.5194/tc-15-5785-2021, 2021
Short summary
Short summary
Lakes form on the surface of the Antarctic Ice Sheet during the summer. These lakes can generate further melt, break up floating ice shelves and alter ice dynamics. Here, we describe a new automated method for mapping surface lakes and apply our technique to the Amery Ice Shelf between 2005 and 2020. Lake area is highly variable between years, driven by large-scale climate patterns. This technique will help us understand the role of Antarctic surface lakes in our warming world.
Joanne S. Johnson, Ryan A. Venturelli, Greg Balco, Claire S. Allen, Scott Braddock, Seth Campbell, Brent M. Goehring, Brenda L. Hall, Peter D. Neff, Keir A. Nichols, Dylan H. Rood, Elizabeth R. Thomas, and John Woodward
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-360, https://doi.org/10.5194/tc-2021-360, 2021
Revised manuscript accepted for TC
Short summary
Short summary
Recent studies have suggested that some portions of the Antarctic Ice Sheet were less extensive than present in the last few thousand years. We discuss how past ice loss and regrowth during this time would leave its mark on geological and glaciological records and suggest ways in which future studies could detect such changes. Determining timing of ice loss and gain around Antarctica and conditions under which they occurred is critical for preparing for future climate warming-induced changes.
Zhongyang Hu, Peter Kuipers Munneke, Stef Lhermitte, Maaike Izeboud, and Michiel van den Broeke
The Cryosphere, 15, 5639–5658, https://doi.org/10.5194/tc-15-5639-2021, https://doi.org/10.5194/tc-15-5639-2021, 2021
Short summary
Short summary
Antarctica is shrinking, and part of the mass loss is caused by higher temperatures leading to more snowmelt. We use computer models to estimate the amount of melt, but this can be inaccurate – specifically in the areas with the most melt. This is because the model cannot account for small, darker areas like rocks or darker ice. Thus, we trained a computer using artificial intelligence and satellite images that showed these darker areas. The model computed an improved estimate of melt.
Jamey Stutz, Andrew Mackintosh, Kevin Norton, Ross Whitmore, Carlo Baroni, Stewart S. R. Jamieson, Richard S. Jones, Greg Balco, Maria Cristina Salvatore, Stefano Casale, Jae Il Lee, Yeong Bae Seong, Robert McKay, Lauren J. Vargo, Daniel Lowry, Perry Spector, Marcus Christl, Susan Ivy Ochs, Luigia Di Nicola, Maria Iarossi, Finlay Stuart, and Tom Woodruff
The Cryosphere, 15, 5447–5471, https://doi.org/10.5194/tc-15-5447-2021, https://doi.org/10.5194/tc-15-5447-2021, 2021
Short summary
Short summary
Understanding the long-term behaviour of ice sheets is essential to projecting future changes due to climate change. In this study, we use rocks deposited along the margin of the David Glacier, one of the largest glacier systems in the world, to reveal a rapid thinning event initiated over 7000 years ago and endured for ~ 2000 years. Using physical models, we show that subglacial topography and ocean heat are important drivers for change along this sector of the Antarctic Ice Sheet.
Birgit Wessel, Martin Huber, Christian Wohlfart, Adina Bertram, Nicole Osterkamp, Ursula Marschalk, Astrid Gruber, Felix Reuß, Sahra Abdullahi, Isabel Georg, and Achim Roth
The Cryosphere, 15, 5241–5260, https://doi.org/10.5194/tc-15-5241-2021, https://doi.org/10.5194/tc-15-5241-2021, 2021
Short summary
Short summary
We present a new digital elevation model (DEM) of Antarctica derived from the TanDEM-X DEM, with new interferometric radar acquisitions incorporated and edited elevations, especially at the coast. A strength of this DEM is its homogeneity and completeness. Extensive validation work shows a vertical accuracy of just -0.3 m ± 2.5 m standard deviation on blue ice surfaces compared to ICESat laser altimeter heights. The new TanDEM-X PolarDEM 90 m of Antarctica is freely available.
Mariel C. Dirscherl, Andreas J. Dietz, and Claudia Kuenzer
The Cryosphere, 15, 5205–5226, https://doi.org/10.5194/tc-15-5205-2021, https://doi.org/10.5194/tc-15-5205-2021, 2021
Short summary
Short summary
We provide novel insight into the temporal evolution of supraglacial lakes across six major Antarctic ice shelves in 2015–2021. For Antarctic Peninsula ice shelves, we observe extensive meltwater ponding during the 2019–2020 and 2020–2021 summers. Over East Antarctica, lakes were widespread during 2016–2019 and at a minimum in 2020–2021. We investigate environmental controls, revealing lake ponding to be coupled to atmospheric modes, the near-surface climate and the local glaciological setting.
Baptiste Frankinet, Thomas Lecocq, and Thierry Camelbeeck
The Cryosphere, 15, 5007–5016, https://doi.org/10.5194/tc-15-5007-2021, https://doi.org/10.5194/tc-15-5007-2021, 2021
Short summary
Short summary
Icequakes are the result of processes occurring within the ice mass or between the ice and its environment. Having a complete catalogue of those icequakes provides a unique view on the ice dynamics. But the instruments recording these events are polluted by different noise sources such as the wind. Using the data from multiple instruments, we found how the wind noise affects the icequake monitoring at the Princess Elisabeth Station in Antarctica.
Martim Mas e Braga, Richard Selwyn Jones, Jennifer C. H. Newall, Irina Rogozhina, Jane L. Andersen, Nathaniel A. Lifton, and Arjen P. Stroeven
The Cryosphere, 15, 4929–4947, https://doi.org/10.5194/tc-15-4929-2021, https://doi.org/10.5194/tc-15-4929-2021, 2021
Short summary
Short summary
Mountains higher than the ice surface are sampled to know when the ice reached the sampled elevation, which can be used to guide numerical models. This is important to understand how much ice will be lost by ice sheets in the future. We use a simple model to understand how ice flow around mountains affects the ice surface topography and show how much this influences results from field samples. We also show that models need a finer resolution over mountainous areas to better match field samples.
Emily A. Hill, Sebastian H. R. Rosier, G. Hilmar Gudmundsson, and Matthew Collins
The Cryosphere, 15, 4675–4702, https://doi.org/10.5194/tc-15-4675-2021, https://doi.org/10.5194/tc-15-4675-2021, 2021
Short summary
Short summary
Using an ice flow model and uncertainty quantification methods, we provide probabilistic projections of future sea level rise from the Filchner–Ronne region of Antarctica. We find that it is most likely that this region will contribute negatively to sea level rise over the next 300 years, largely as a result of increased surface mass balance. We identify parameters controlling ice shelf melt and snowfall contribute most to uncertainties in projections.
Sarah U. Neuhaus, Slawek M. Tulaczyk, Nathan D. Stansell, Jason J. Coenen, Reed P. Scherer, Jill A. Mikucki, and Ross D. Powell
The Cryosphere, 15, 4655–4673, https://doi.org/10.5194/tc-15-4655-2021, https://doi.org/10.5194/tc-15-4655-2021, 2021
Short summary
Short summary
We estimate the timing of post-LGM grounding line retreat and readvance in the Ross Sea sector of Antarctica. Our analyses indicate that the grounding line retreated over our field sites within the past 5000 years (coinciding with a warming climate) and readvanced roughly 1000 years ago (coinciding with a cooling climate). Based on these results, we propose that the Siple Coast grounding line motions in the middle to late Holocene were driven by relatively modest changes in regional climate.
Nicolaj Hansen, Peter L. Langen, Fredrik Boberg, Rene Forsberg, Sebastian B. Simonsen, Peter Thejll, Baptiste Vandecrux, and Ruth Mottram
The Cryosphere, 15, 4315–4333, https://doi.org/10.5194/tc-15-4315-2021, https://doi.org/10.5194/tc-15-4315-2021, 2021
Short summary
Short summary
We have used computer models to estimate the Antarctic surface mass balance (SMB) from 1980 to 2017. Our estimates lies between 2473.5 ± 114.4 Gt per year and 2564.8 ± 113.7 Gt per year. To evaluate our models, we compared the modelled snow temperatures and densities to in situ measurements. We also investigated the spatial distribution of the SMB. It is very important to have estimates of the Antarctic SMB because then it is easier to understand global sea level changes.
Christoph Kittel, Charles Amory, Stefan Hofer, Cécile Agosta, Nicolas C. Jourdain, Ella Gilbert, Louis Le Toumelin, Hubert Gallée, and Xavier Fettweis
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-263, https://doi.org/10.5194/tc-2021-263, 2021
Revised manuscript accepted for TC
Short summary
Short summary
Model projections with similar greenhouse gas scenarios suggest large differences in future surface melting. So far it remains unclear whether these differences are due to variations in warming rates in individual models, or whether local surface energy budget feedbacks could also play a notable role. We show that clouds containing a larger amount of liquid water lead to stronger melt, subsequently favouring the absorption of solar radiation due to the snow-melt-albedo feedback.
Johannes Sutter, Hubertus Fischer, and Olaf Eisen
The Cryosphere, 15, 3839–3860, https://doi.org/10.5194/tc-15-3839-2021, https://doi.org/10.5194/tc-15-3839-2021, 2021
Short summary
Short summary
Projections of global sea-level changes in a warming world require ice-sheet models. We expand the calibration of these models by making use of the internal architecture of the Antarctic ice sheet, which is formed by its evolution over many millennia. We propose that using our novel approach to constrain ice sheet models, we will be able to both sharpen our understanding of past and future sea-level changes and identify weaknesses in the parameterisation of current continental-scale models.
Ruth Mottram, Nicolaj Hansen, Christoph Kittel, J. Melchior van Wessem, Cécile Agosta, Charles Amory, Fredrik Boberg, Willem Jan van de Berg, Xavier Fettweis, Alexandra Gossart, Nicole P. M. van Lipzig, Erik van Meijgaard, Andrew Orr, Tony Phillips, Stuart Webster, Sebastian B. Simonsen, and Niels Souverijns
The Cryosphere, 15, 3751–3784, https://doi.org/10.5194/tc-15-3751-2021, https://doi.org/10.5194/tc-15-3751-2021, 2021
Short summary
Short summary
We compare the calculated surface mass budget (SMB) of Antarctica in five different regional climate models. On average ~ 2000 Gt of snow accumulates annually, but different models vary by ~ 10 %, a difference equivalent to ± 0.5 mm of global sea level rise. All models reproduce observed weather, but there are large differences in regional patterns of snowfall, especially in areas with very few observations, giving greater uncertainty in Antarctic mass budget than previously identified.
Jeannette Xiu Wen Wan, Natalya Gomez, Konstantin Latychev, and Holly Kyeore Han
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-232, https://doi.org/10.5194/tc-2021-232, 2021
Revised manuscript accepted for TC
Short summary
Short summary
This paper assesses the grid resolution necessary to accurately model the earth deformation and sea level change associated with West Antarctic ice mass changes. We find that results converge at higher resolutions, and errors of less than 5 % can be achieved with a 7.5 km grid. Our results also indicate that error due to grid resolution is negligible compared to the effect of neglecting viscous deformation in low viscosity regions.
Madison L. Ghiz, Ryan C. Scott, Andrew M. Vogelmann, Jan T. M. Lenaerts, Matthew Lazzara, and Dan Lubin
The Cryosphere, 15, 3459–3494, https://doi.org/10.5194/tc-15-3459-2021, https://doi.org/10.5194/tc-15-3459-2021, 2021
Short summary
Short summary
We investigate how melt occurs over the vulnerable ice shelves of West Antarctica and determine that the three primary mechanisms can be evaluated using archived numerical weather prediction model data and satellite imagery. We find examples of each mechanism: thermal blanketing by a warm atmosphere, radiative heating by thin clouds, and downslope winds. Our results signify the potential to make a multi-decadal assessment of atmospheric stress on West Antarctic ice shelves in a warming climate.
Suzanne L. Bevan, Adrian J. Luckman, Douglas I. Benn, Susheel Adusumilli, and Anna Crawford
The Cryosphere, 15, 3317–3328, https://doi.org/10.5194/tc-15-3317-2021, https://doi.org/10.5194/tc-15-3317-2021, 2021
Short summary
Short summary
The stability of the West Antarctic ice sheet depends on the behaviour of the fast-flowing glaciers, such as Thwaites, that connect it to the ocean. Here we show that a large ocean-melted cavity beneath Thwaites Glacier has remained stable since it first formed, implying that, in line with current theory, basal melt is now concentrated close to where the ice first goes afloat. We also show that Thwaites Glacier continues to thin and to speed up and that continued retreat is therefore likely.
Stephen J. Chuter, Andrew Zammit-Mangion, Jonathan Rougier, Geoffrey Dawson, and Jonathan L Bamber
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-178, https://doi.org/10.5194/tc-2021-178, 2021
Revised manuscript accepted for TC
Short summary
Short summary
We find the Antarctic Peninsula to have a mean mass loss of 19 ± 1.1 Gt yr−1 over the 2003–2019 period, driven predominantly by changes in ice dynamic flow like due to changes in ocean forcing. This long-term record is crucial to ascertaining the region’s present-day contribution to sea level rise, with the understanding of driving processes enabling better future predictions. Our statistical approach enables us to estimate this previously poorly surveyed regions mass balance more accurately.
Rongxing Li, Hongwei Li, Tong Hao, Gang Qiao, Haotian Cui, Youquan He, Gang Hai, Huan Xie, Yuan Cheng, and Bofeng Li
The Cryosphere, 15, 3083–3099, https://doi.org/10.5194/tc-15-3083-2021, https://doi.org/10.5194/tc-15-3083-2021, 2021
Short summary
Short summary
We present the results of an assessment of ICESat-2 surface elevations along the 520 km CHINARE route in East Antarctica. The assessment was performed based on coordinated multi-sensor observations from a global navigation satellite system, corner cube retroreflectors, retroreflective target sheets, and UAVs. The validation results demonstrate that ICESat-2 elevations are accurate to 1.5–2.5 cm and can potentially overcome the uncertainties in the estimation of mass balance in East Antarctica.
Mira Berdahl, Gunter Leguy, William H. Lipscomb, and Nathan M. Urban
The Cryosphere, 15, 2683–2699, https://doi.org/10.5194/tc-15-2683-2021, https://doi.org/10.5194/tc-15-2683-2021, 2021
Short summary
Short summary
Antarctic ice shelves are vulnerable to warming ocean temperatures and have already begun thinning in response to increased basal melt rates. Sea level is expected to rise due to Antarctic contributions, but uncertainties in rise amount and timing remain largely unquantified. To facilitate uncertainty quantification, we use a high-resolution ice sheet model to build, test, and validate an ice sheet emulator and generate probabilistic sea level rise estimates for 100 and 200 years in the future.
Celia A. Baumhoer, Andreas J. Dietz, Christof Kneisel, Heiko Paeth, and Claudia Kuenzer
The Cryosphere, 15, 2357–2381, https://doi.org/10.5194/tc-15-2357-2021, https://doi.org/10.5194/tc-15-2357-2021, 2021
Short summary
Short summary
We present a record of circum-Antarctic glacier and ice shelf front change over the last two decades in combination with potential environmental variables forcing frontal retreat. Along the Antarctic coastline, glacier and ice shelf front retreat dominated between 1997–2008 and advance between 2009–2018. Decreasing sea ice days, intense snowmelt, weakening easterly winds, and relative changes in sea surface temperature were identified as enabling factors for glacier and ice shelf front retreat.
Lucas H. Beem, Duncan A. Young, Jamin S. Greenbaum, Donald D. Blankenship, Marie G. P. Cavitte, Jingxue Guo, and Sun Bo
The Cryosphere, 15, 1719–1730, https://doi.org/10.5194/tc-15-1719-2021, https://doi.org/10.5194/tc-15-1719-2021, 2021
Short summary
Short summary
Radar observation collected above Titan Dome of the East Antarctic Ice Sheet is used to describe ice geometry and test a hypothesis that ice beneath the dome is older than 1 million years. An important climate transition occurred between 1.25 million and 700 thousand years ago, and if ice old enough to study this period can be removed as an ice core, new insights into climate dynamics are expected. The new observations suggest the ice is too young – more likely 300 to 800 thousand years old.
Christoph Kittel, Charles Amory, Cécile Agosta, Nicolas C. Jourdain, Stefan Hofer, Alison Delhasse, Sébastien Doutreloup, Pierre-Vincent Huot, Charlotte Lang, Thierry Fichefet, and Xavier Fettweis
The Cryosphere, 15, 1215–1236, https://doi.org/10.5194/tc-15-1215-2021, https://doi.org/10.5194/tc-15-1215-2021, 2021
Short summary
Short summary
The future surface mass balance (SMB) of the Antarctic ice sheet (AIS) will influence the ice dynamics and the contribution of the ice sheet to the sea level rise. We investigate the AIS sensitivity to different warmings using physical and statistical downscaling of CMIP5 and CMIP6 models. Our results highlight a contrasting effect between the grounded ice sheet (where the SMB is projected to increase) and ice shelves (where the future SMB depends on the emission scenario).
Eric Keenan, Nander Wever, Marissa Dattler, Jan T. M. Lenaerts, Brooke Medley, Peter Kuipers Munneke, and Carleen Reijmer
The Cryosphere, 15, 1065–1085, https://doi.org/10.5194/tc-15-1065-2021, https://doi.org/10.5194/tc-15-1065-2021, 2021
Short summary
Short summary
Snow density is required to convert observed changes in ice sheet volume into mass, which ultimately drives ice sheet contribution to sea level rise. However, snow properties respond dynamically to wind-driven redistribution. Here we include a new wind-driven snow density scheme into an existing snow model. Our results demonstrate an improved representation of snow density when compared to observations and can therefore be used to improve retrievals of ice sheet mass balance.
Aurélien Quiquet and Christophe Dumas
The Cryosphere, 15, 1031–1052, https://doi.org/10.5194/tc-15-1031-2021, https://doi.org/10.5194/tc-15-1031-2021, 2021
Short summary
Short summary
We present here the GRISLI-LSCE contribution to the Ice Sheet Model Intercomparison Project for CMIP6 for Antarctica. The project aims to quantify the ice sheet contribution to global sea level rise for the next century. We show that increased precipitation in the future in some cases mitigates this contribution, with positive to negative values in 2100 depending of the climate forcing used. Sub-shelf-basal-melt uncertainties induce large differences in simulated grounding-line retreats.
Bertie W. J. Miles, Jim R. Jordan, Chris R. Stokes, Stewart S. R. Jamieson, G. Hilmar Gudmundsson, and Adrian Jenkins
The Cryosphere, 15, 663–676, https://doi.org/10.5194/tc-15-663-2021, https://doi.org/10.5194/tc-15-663-2021, 2021
Short summary
Short summary
We provide a historical overview of changes in Denman Glacier's flow speed, structure and calving events since the 1960s. Based on these observations, we perform a series of numerical modelling experiments to determine the likely cause of Denman's acceleration since the 1970s. We show that grounding line retreat, ice shelf thinning and the detachment of Denman's ice tongue from a pinning point are the most likely causes of the observed acceleration.
William H. Lipscomb, Gunter R. Leguy, Nicolas C. Jourdain, Xylar Asay-Davis, Hélène Seroussi, and Sophie Nowicki
The Cryosphere, 15, 633–661, https://doi.org/10.5194/tc-15-633-2021, https://doi.org/10.5194/tc-15-633-2021, 2021
Short summary
Short summary
This paper describes Antarctic climate change experiments in which the Community Ice Sheet Model is forced with ocean warming predicted by global climate models. Generally, ice loss begins slowly, accelerates by 2100, and then continues unabated, with widespread retreat of the West Antarctic Ice Sheet. The mass loss by 2500 varies from about 150 to 1300 mm of equivalent sea level rise, based on the predicted ocean warming and assumptions about how this warming drives melting beneath ice shelves.
Marion Donat-Magnin, Nicolas C. Jourdain, Christoph Kittel, Cécile Agosta, Charles Amory, Hubert Gallée, Gerhard Krinner, and Mondher Chekki
The Cryosphere, 15, 571–593, https://doi.org/10.5194/tc-15-571-2021, https://doi.org/10.5194/tc-15-571-2021, 2021
Short summary
Short summary
We simulate the West Antarctic climate in 2100 under increasing greenhouse gases. Future accumulation over the ice sheet increases, which reduces sea level changing rate. Surface ice-shelf melt rates increase until 2100. Some ice shelves experience a lot of liquid water at their surface, which indicates potential ice-shelf collapse. In contrast, no liquid water is found over other ice shelves due to huge amounts of snowfall that bury liquid water, favouring refreezing and ice-shelf stability.
Javier Blasco, Jorge Alvarez-Solas, Alexander Robinson, and Marisa Montoya
The Cryosphere, 15, 215–231, https://doi.org/10.5194/tc-15-215-2021, https://doi.org/10.5194/tc-15-215-2021, 2021
Short summary
Short summary
During the Last Glacial Maximum the Antarctic Ice Sheet was larger and more extended than at present. However, neither its exact position nor the total ice volume are well constrained. Here we investigate how the different climatic boundary conditions, as well as basal friction configurations, affect the size and extent of the Antarctic Ice Sheet and discuss its potential implications.
Jan De Rydt, Ronja Reese, Fernando S. Paolo, and G. Hilmar Gudmundsson
The Cryosphere, 15, 113–132, https://doi.org/10.5194/tc-15-113-2021, https://doi.org/10.5194/tc-15-113-2021, 2021
Short summary
Short summary
We used satellite observations and numerical simulations of Pine Island Glacier, West Antarctica, between 1996 and 2016 to show that the recent increase in its flow speed can only be reproduced by computer models if stringent assumptions are made about the material properties of the ice and its underlying bed. These assumptions are not commonly adopted in ice flow modelling, and our results therefore have implications for future simulations of Antarctic ice flow and sea level projections.
Tessa Gorte, Jan T. M. Lenaerts, and Brooke Medley
The Cryosphere, 14, 4719–4733, https://doi.org/10.5194/tc-14-4719-2020, https://doi.org/10.5194/tc-14-4719-2020, 2020
Short summary
Short summary
In this paper, we analyze several spatial and temporal criteria to assess the ability of models in the CMIP5 and CMIP6 frameworks to recreate past Antarctic surface mass balance. We then compared a subset of the top performing models to all remaining models to refine future surface mass balance predictions under different forcing scenarios. We found that the top performing models predict lower surface mass balance by 2100, indicating less buffering than otherwise expected of sea level rise.
Jennifer F. Arthur, Chris R. Stokes, Stewart S. R. Jamieson, J. Rachel Carr, and Amber A. Leeson
The Cryosphere, 14, 4103–4120, https://doi.org/10.5194/tc-14-4103-2020, https://doi.org/10.5194/tc-14-4103-2020, 2020
Short summary
Short summary
Surface meltwater lakes can flex and fracture ice shelves, potentially leading to ice shelf break-up. A long-term record of lake evolution on Shackleton Ice Shelf is produced using optical satellite imagery and compared to surface air temperature and modelled surface melt. The results reveal that lake clustering on the ice shelf is linked to melt-enhancing feedbacks. Peaks in total lake area and volume closely correspond with intense snowmelt events rather than with warmer seasonal temperatures.
Tian Li, Geoffrey J. Dawson, Stephen J. Chuter, and Jonathan L. Bamber
The Cryosphere, 14, 3629–3643, https://doi.org/10.5194/tc-14-3629-2020, https://doi.org/10.5194/tc-14-3629-2020, 2020
Short summary
Short summary
Accurate knowledge of the Antarctic grounding zone is critical for the understanding of ice sheet instability and the evaluation of mass balance. We present a new, fully automated method to map the grounding zone from ICESat-2 laser altimetry. Our results of Larsen C Ice Shelf demonstrate the efficiency, density, and high spatial accuracy with which ICESat-2 can image complex grounding zones.
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, 14, 3367–3380, https://doi.org/10.5194/tc-14-3367-2020, https://doi.org/10.5194/tc-14-3367-2020, 2020
Short summary
Short summary
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 modeling. 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.
Michael Studinger, Brooke C. Medley, Kelly M. Brunt, Kimberly A. Casey, Nathan T. Kurtz, Serdar S. Manizade, Thomas A. Neumann, and Thomas B. Overly
The Cryosphere, 14, 3287–3308, https://doi.org/10.5194/tc-14-3287-2020, https://doi.org/10.5194/tc-14-3287-2020, 2020
Short summary
Short summary
We use repeat airborne geophysical data consisting of laser altimetry, snow, and Ku-band radar and optical imagery to analyze the spatial and temporal variability in surface roughness, slope, wind deposition, and snow accumulation at 88° S. We find small–scale variability in snow accumulation based on the snow radar subsurface layering, indicating areas of strong wind redistribution are prevalent at 88° S. There is no slope–independent relationship between surface roughness and accumulation.
Ronja Reese, Anders Levermann, Torsten Albrecht, Hélène Seroussi, and Ricarda Winkelmann
The Cryosphere, 14, 3097–3110, https://doi.org/10.5194/tc-14-3097-2020, https://doi.org/10.5194/tc-14-3097-2020, 2020
Short summary
Short summary
We compare 21st century projections of Antarctica's future sea-level contribution simulated with the Parallel Ice Sheet Model submitted to ISMIP6 with projections following the LARMIP-2 protocol based on the same model configuration. We find that (1) a preceding historic simulation increases mass loss by 5–50 % and that (2) the order of magnitude difference in the ice loss in our experiments following the two protocols can be explained by the translation of ocean forcing to sub-shelf melting.
Hélène Seroussi, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, 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, 14, 3033–3070, https://doi.org/10.5194/tc-14-3033-2020, https://doi.org/10.5194/tc-14-3033-2020, 2020
Short summary
Short summary
The Antarctic ice sheet has been losing mass over at least the past 3 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 a large amount of ice, while the East Antarctic ice sheet could experience increased snow accumulation.
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, 14, 2869–2882, https://doi.org/10.5194/tc-14-2869-2020, https://doi.org/10.5194/tc-14-2869-2020, 2020
Short summary
Short summary
Linking ocean and ice sheet processes allows prediction of sea level change. Ice shelves form a floating buffer between the ice–ocean systems, 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 Glacier and adjacent glacier systems, providing new insights and data for future models.
Kelly A. Hogan, Robert D. Larter, Alastair G. C. Graham, Robert Arthern, James D. Kirkham, Rebecca Totten Minzoni, Tom A. Jordan, Rachel Clark, Victoria Fitzgerald, Anna K. Wåhlin, John B. Anderson, Claus-Dieter Hillenbrand, Frank O. Nitsche, Lauren Simkins, James A. Smith, Karsten Gohl, Jan Erik Arndt, Jongkuk Hong, and Julia Wellner
The Cryosphere, 14, 2883–2908, https://doi.org/10.5194/tc-14-2883-2020, https://doi.org/10.5194/tc-14-2883-2020, 2020
Short summary
Short summary
The sea-floor geometry around the rapidly changing Thwaites Glacier is a key control on warm ocean waters reaching the ice shelf and grounding zone beyond. This area was previously unsurveyed due to icebergs and sea-ice cover. The International Thwaites Glacier Collaboration mapped this area for the first time in 2019. The data reveal troughs over 1200 m deep and, as this region is thought to have only ungrounded recently, provide key insights into the morphology beneath the grounded ice sheet.
Allie Balter-Kennedy, Gordon Bromley, Greg Balco, Holly Thomas, and Margaret S. Jackson
The Cryosphere, 14, 2647–2672, https://doi.org/10.5194/tc-14-2647-2020, https://doi.org/10.5194/tc-14-2647-2020, 2020
Short summary
Short summary
We describe new geologic evidence from Antarctica that demonstrates changes in East Antarctic Ice Sheet (EAIS) extent over the past ~ 15 million years. Our data show that the EAIS was a persistent feature in the Transantarctic Mountains for much of that time, including some (but not all) times when global temperature may have been warmer than today. Overall, our results comprise a long-term record of EAIS change and may provide useful constraints for ice sheet models and sea-level estimates.
Sophie Nowicki, Heiko Goelzer, Hélène Seroussi, Anthony J. Payne, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Patrick Alexander, Xylar S. Asay-Davis, Alice Barthel, Thomas J. Bracegirdle, Richard Cullather, Denis Felikson, Xavier Fettweis, Jonathan M. Gregory, Tore Hattermann, Nicolas C. Jourdain, Peter Kuipers Munneke, Eric Larour, Christopher M. Little, Mathieu Morlighem, Isabel Nias, Andrew Shepherd, Erika Simon, Donald Slater, Robin S. Smith, Fiammetta Straneo, Luke D. Trusel, Michiel R. van den Broeke, and Roderik van de Wal
The Cryosphere, 14, 2331–2368, https://doi.org/10.5194/tc-14-2331-2020, https://doi.org/10.5194/tc-14-2331-2020, 2020
Short summary
Short summary
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.
Neil Ross, Hugh Corr, and Martin Siegert
The Cryosphere, 14, 2103–2114, https://doi.org/10.5194/tc-14-2103-2020, https://doi.org/10.5194/tc-14-2103-2020, 2020
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Cited articles
Albrecht, T., Winkelmann, R., and Levermann, A.: Glacial-cycle simulations of
the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 1:
Boundary conditions and climatic forcing, The Cryosphere, 14, 599–632,
https://doi.org/10.5194/tc-14-599-2020, 2020. a, b, c, d
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., Ii, D. J. C., 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, 2018. a
Bauch, H. A., Erlenkeuser, H., Helmke, J. P., and Struck, U.: A paleoclimatic
evaluation of marine oxygen isotope stage 11 in the high-northern Atlantic
(Nordic seas), Global Planet. Change, 24, 27–39, https://doi.org/10.1016/S0921-8181(99)00067-3, 2000. a
Bazin, L., Landais, A., Lemieux-Dudon, B., Toyé Mahamadou Kele, H., Veres, D., Parrenin, F., Martinerie, P., Ritz, C., Capron, E., Lipenkov, V., Loutre, M.-F., Raynaud, D., Vinther, B., Svensson, A., Rasmussen, S. O., Severi, M., Blunier, T., Leuenberger, M., Fischer, H., Masson-Delmotte, V., Chappellaz, J., and Wolff, E.: An optimized multi-proxy, multi-site Antarctic ice and gas orbital chronology (AICC2012): 120–800 ka, Clim. Past, 9, 1715–1731, https://doi.org/10.5194/cp-9-1715-2013, 2013. a, b, c
Beckmann, A. and Goosse, H.: A parameterization of ice shelf–ocean interaction for climate models, Ocean Model., 5, 157–170, 2003. a
Berger, A. and Loutre, M.-F.: Climate 400,000 years ago, a key to the future?, Washington DC American Geophysical Union Geophysical Monograph Series 137, American Geophysical Union, Washington, D.C., 17–26, 2003. a
Bernales, J., Rogozhina, I., Greve, R., and Thomas, M.: Comparison of hybrid
schemes for the combination of shallow approximations in numerical simulations of the Antarctic Ice Sheet, The Cryosphere, 11, 247–265,
https://doi.org/10.5194/tc-11-247-2017, 2017a. a
Calov, R. and Greve, R.: A semi-analytical solution for the positive degree-day model with stochastic temperature variations, J. Glaciol., 51,
173–175, 2005. a
Capron, E., Rovere, A., Austermann, J., Axford, Y., Barlow, N. L., Carlson,
A. E., de Vernal, A., Dutton, A., Kopp, R. E., McManus, J. F., Menviel, L., Otto-Bliesner, B. L., Robinson, A., Shakun, J. D., Tzedakis, P. C., and Wolff, E. W.: Challenges and research priorities to understand interactions between climate, ice sheets and global mean sea level during past interglacials, Quaternary Sci. Rev., 219, 308–311, 2019. a, b
Chen, F., Friedman, S., Gertler, C. G., Looney, J., O'Connell, N., Sierks,
K., and Mitrovica, J. X.: Refining estimates of polar ice volumes during the
MIS11 Interglacial using sea level records from South Africa, J. Climate, 27, 8740–8746, 2014. a
Clark, P. U., Dyke, A. S., Shakun, J. D., Carlson, A. E., Clark, J., Wohlfarth, B., Mitrovica, J. X., Hostetler, S. W., and McCabe, A. M.: The Last Glacial Maximum, Science, 325, 710–714, https://doi.org/10.1126/science.1172873, 2009. a
Clason, C. C., Applegate, P., and Holmlund, P.: Modelling Late Weichselian
evolution of the Eurasian ice sheets forced by surface meltwater-enhanced basal sliding, J. Glaciol., 60, 29–40, 2014. a
de Boer, B., van de Wal, R. S. W., Lourens, L. J., Bintanja, R., and Reerink,
T. J.: A continuous simulation of global ice volume over the past 1 million
years with 3-D ice-sheet models, Clim. Dynam., 41, 1365–1384,
https://doi.org/10.1007/s00382-012-1562-2, 2013. a
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
DeConto, R. M. and Pollard, D.: Contribution of Antarctica to past and future
sea-level rise, Nature, 531, 591–597, 2016. a
Doherty, J. M. and Thibodeau, B.: Cold Water in a Warm World: Investigating the Origin of the Nordic Seas' Unique Surface Properties During MIS 11,
Front. Mari. Sci., 5, 251, https://doi.org/10.3389/fmars.2018.00251, 2018. a
Dolan, A. M., De Boer, B., Bernales, J., Hill, D. J., and Haywood, A. M.: High climate model dependency of Pliocene Antarctic ice-sheet predictions,
Nat. Commun., 9, 2799, https://doi.org/10.1038/s41467-018-05179-4, 2018. a
Favier, L., Jourdain, N. C., Jenkins, A., Merino, N., Durand, G., Gagliardini, O., Gillet-Chaulet, F., and Mathiot, P.: Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3), Geosci. Model Dev., 12, 2255–2283, https://doi.org/10.5194/gmd-12-2255-2019, 2019. 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
Garbe, J., Albrecht, T., Levermann, A., Donges, J. F., and Winkelmann, R.: The hysteresis of the Antarctic Ice Sheet, Nature, 585, 538–544, 2020. 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
Greve, R.: Application of a polythermal three-dimensional ice sheet model to
the Greenland ice sheet: response to steady-state and transient climate
scenarios, J. Climate, 10, 901–918, 1997. a
Greve, R.: Ice sheet model SICOPOLIS, available at: http://sicopolis.net/, last access: 4 May 2018. a
Greve, R. and Blatter, H.: Comparison of thermodynamics solvers in the
polythermal ice sheet model SICOPOLIS, Polar Sci., 10, 11–23, 2016. a
Handiani, D., Paul, A., Prange, M., Merkel, U., Dupont, L., and Zhang, X.: Tropical vegetation response to Heinrich Event 1 as simulated with the UVic ESCM and CCSM3, Clim. Past, 9, 1683–1696, https://doi.org/10.5194/cp-9-1683-2013, 2013. a
Hearty, P. J., Hollin, J. T., Neumann, A. C., O'Leary, M. J., and McCulloch,
M.: Global sea-level fluctuations during the Last Interglaciation (MIS 5e), Quaternary Sci. Rev., 26, 2090–2112, 2007. a
Hillenbrand, C.-D., Fütterer, D., Grobe, H., and Frederichs, T.: No evidence
for a Pleistocene collapse of the West Antarctic Ice Sheet from continental margin sediments recovered in the Amundsen Sea, Geo-Mar. Lett., 22, 51–59, https://doi.org/10.1007/s00367-002-0097-7, 2002. a
Hillenbrand, C.-D., Kuhn, G., and Frederichs, T.: Record of a Mid-Pleistocene
depositional anomaly in West Antarctic continental margin sediments: an
indicator for ice-sheet collapse?, Quaternary Sci. Rev., 28, 1147–1159, https://doi.org/10.1016/j.quascirev.2008.12.010, 2009. a
Holden, P. B., Edwards, N. R., Wolff, E. W., Lang, N. J., Singarayer, J. S.,
Valdes, P. J., and Stocker, T. F.: Interhemispheric coupling, the West
Antarctic Ice Sheet and warm Antarctic interglacials, Clim. Past, 6, 431–443, https://doi.org/10.5194/cp-6-431-2010, 2010. a
Holden, P. B., Edwards, N. R., Wolff, E. W., Valdes, P. J., and Singarayer, J. S.: The Mid-Brunhes Event and West Antarctic Ice Sheet stability, J. Quaternary Sci., 26, 474–477, https://doi.org/10.1002/jqs.1525, 2011. a
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, 2008. a
Imbrie, J., McIntyre, A., and Mix, A.: Oceanic Response to Orbital Forcing in the Late Quaternary: Observational and Experimental Strategies, in: Climate and Geo-Sciences, edited by: Berger, A., Schneider, S., and Duplessy, J. C., Springer Netherlands, Dordrecht, 121–164, https://doi.org/10.1007/978-94-009-2446-8_7, 1989. a, b, c
Jouzel, J., Masson-Delmotte, V., Cattani, O., Dreyfus, G., Falourd, S.,
Hoffmann, G., Minster, B., Nouet, J., Barnola, J.-M., Chappellaz, J., Fischer, H., Gallet, J. C., Johnsen, S., Leuenberger, M., Loulergue, L., Luethi, D., Oerter, H., Parrenin, F., Raisbeck, G., Raynaud, D., Schilt, A., Schwander, J., Selmo, E., Souchez, R., Spahni, R., Stauffer, B., Steffensen, J. P., Stenni, B., Stocker, T. F., Tison, J. L., Werner, M., and Wolff, E. W.: Orbital and millennial Antarctic climate variability over the past 800,000 years, Science, 317, 793–796, 2007. a, b
Kandiano, E. S., van der Meer, M. T. J., Bauch, H. A., Helmke, J., Damsté, J. S. S., and Schouten, S.: A cold and fresh ocean surface in the Nordic Seas during MIS 11: Significance for the future ocean, Geophys. Res.
Lett., 43, 10929–10937, https://doi.org/10.1002/2016GL070294, 2016. a
Kleinen, T., Hildebrandt, S., Prange, M., Rachmayani, R., Müller, S.,
Bezrukova, E., Brovkin, V., and Tarasov, P. E.: The climate and vegetation of
Marine Isotope Stage 11 – model results and proxy-based reconstructions at
global and regional scale, Quatern. Int., 348, 247–265,
https://doi.org/10.1016/j.quaint.2013.12.028, 2014. a
Konrad, H., Thoma, M., Sasgen, I., Klemann, V., Grosfeld, K., Barbi, D., and
Martinec, Z.: The deformational response of a viscoelastic solid earth model
coupled to a thermomechanical ice sheet model, Surv. Geophys., 35, 1441–1458, 2014. a
Kukla, G.: How long and how stable was the last interglacial?, Quaternary Sci. Rev., 16, 605–612, https://doi.org/10.1016/S0277-3791(96)00114-X, 1997. a
Loutre, M. and Berger, A.: Marine Isotope Stage 11 as an analogue for the
present interglacial, Global Planet. Change, 36, 209–217,
https://doi.org/10.1016/S0921-8181(02)00186-8, 2003. a
Martin, M. A., Winkelmann, R., Haseloff, M., Albrecht, T., Bueler, E., Khroulev, C., and Levermann, A.: The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 2: Dynamic equilibrium simulation of the Antarctic ice sheet, The Cryosphere, 5, 727–740, https://doi.org/10.5194/tc-5-727-2011, 2011. a
Mas e Braga, M.: martimmas/MIS11c_exps: MIS11c experiments (version 1.0), Zenodo, https://doi.org/10.5281/zenodo.4471206, 2020. a
Maule, C. F., Purucker, M. E., Olsen, N., and Mosegaard, K.: Heat Flux
Anomalies in Antarctica Revealed by Satellite Magnetic Data, Science, 309,
464–467, https://doi.org/10.1126/science.1106888, 2005. a
Milker, Y., Rachmayani, R., Weinkauf, M. F. G., Prange, M., Raitzsch, M.,
Schulz, M., and Kučera, M.: Global and regional sea surface temperature
trends during Marine Isotope Stage 11, Clim. Past, 9, 2231–2252, https://doi.org/10.5194/cp-9-2231-2013, 2013. a, b
Mitrovica, J. X., Gomez, N., and Clark, P. U.: The sea-level fingerprint of
West Antarctic collapse, Science, 323, 753–753, 2009. a
Naish, T., Powell, R., Levy, R., Wilson, G., Scherer, R., Talarico, F.,
Krissek, L., Niessen, F., Pompilio, M., Wilson, T., Carter, L., DeConto, R., Huybers, P., McKay, R., Pollard, D., Ross, J., Winter, D., Barrett, P., Browne, G., Cody, R., Cowan, E., Crampton, J., Dunbar, G., Dunbar, N., Florindo, F., Gebhardt, C., Graham, I., Hannah, M., Hansaraj, D., Harwood, D., Helling, D., Henrys, S., Hinnov, L., Kuhn, G., Kyle, P., Läufer, A., Maffioli, P., Magens, D., Mandernack, K., McIntosh, W., Millan, C., Morin, R., Ohneiser, C., Paulsen, T., Persico, D., Raine, I., Reed, J., Riesselman, C., Sagnotti, L., Schmitt, D., Sjunneskog, C., Strong, P., Taviani, M., Vogel, S., Wilch, T., and Williams, T.: Obliquity-paced Pliocene West Antarctic ice sheet oscillations, Nature, 458, 322–328, 2009. a
Noble, T. L., Rohling, E. J., Aitken, A. R. A., Bostock, H. C., Chase, Z., Gomez, N., Jong, L. M., King, M. A., Mackintosh, A. N., McCormack, F. S., McKay, R. M., Menviel, L., Phipps, S. J., Weber, M. E., Fogwill, C. J., Gayen, B., Golledge, N. R., Gwyther, D. E., McHogg, A. C., Martos, Y. M., Pena-Molino, B., Roberts, J., van de Flierdt, T., and Williams, T.: The sensitivity of the Antarctic Ice Sheet to a changing climate: Past, present and future, Rev. Geophys., 58, e2019RG000663, https://doi.org/10.1029/2019RG000663, 2020. a
Parrenin, F., Barnola, J.-M., Beer, J., Blunier, T., Castellano, E., Chappellaz, J., Dreyfus, G., Fischer, H., Fujita, S., Jouzel, J., Kawamura, K., Lemieux-Dudon, B., Loulergue, L., Masson-Delmotte, V., Narcisi, B., Petit, J.-R., Raisbeck, G., Raynaud, D., Ruth, U., Schwander, J., Severi, M., Spahni, R., Steffensen, J. P., Svensson, A., Udisti, R., Waelbroeck, C., and Wolff, E.: The EDC3 chronology for the EPICA Dome C ice core, Clim. Past, 3, 485–497, https://doi.org/10.5194/cp-3-485-2007, 2007. a, b
Petit, J.-R., Jouzel, J., Raynaud, D., Barkov, N. I., Barnola, J.-M., Basile,
I., Bender, M., Chappellaz, J., Davis, M., Delaygue, G., Delmotte, M., Kotlyakov, V. M., Legrand, M., Lipenkov, V. Y., Lorius, C., Pépin, L., Ritz, C., Saltzman, E., and Stievenard, M.: Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica, Nature, 399, 429–436, 1999. a, b
Petit, J. R., Jouzel, J., Raynaud, D., Barkov, N. I., Barnola, J. M., Basile, I., Bender, M., Chappellaz, J., Davis, J., Delaygue, G., and Delmotte, M.: Vostok ice core data for 420,000 years, IGBP pages/world data center for paleoclimatology data contribution series #2001–076, NOAA/NGDC Paleoclimatology Program, NOAA/NGDC, Boulder, CO, USA, 2001. a, b
Pollard, D. and DeConto, R.: Description of a hybrid ice sheet-shelf model, and application to Antarctica, Geosci. Model Dev., 5, 1273–1295, https://doi.org/10.5194/gmd-5-1273-2012, 2012a. a, b
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
Rachmayani, R., Prange, M., and Schulz, M.: Intra-interglacial climate
variability: model simulations of Marine Isotope Stages 1, 5, 11, 13, and 15, Clim. Past, 12, 677–695, https://doi.org/10.5194/cp-12-677-2016, 2016. a
Rachmayani, R., Prange, M., Lunt, D. J., Stone, E. J., and Schulz, M.:
Sensitivity of the Greenland Ice Sheet to Interglacial Climate Forcing: MIS 5e Versus MIS 11, Paleoceanography, 32, 1089–1101, https://doi.org/10.1002/2017PA003149, 2017. a
Raymo, M. E. and Mitrovica, J. X.: Collapse of polar ice sheets during the
stage 11 interglacial, Nature, 483, 453–456, https://doi.org/10.1038/nature10891, 2012. a, b, c
Raynaud, D., Barnola, J.-M., Souchez, R., Lorrain, R., Petit, J.-R., Duval, P., and Lipenkov, V. Y.: The record for Marine Isotopic Stage 11, Nat.
Commun., 436, 39–40, https://doi.org/10.1038/43639b, 2005. a, b
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, 2018. a
Reyes, A. V., Carlson, A. E., Beard, B. L., Hatfield, R. G., Stoner, J. S.,
Winsor, K., Welke, B., and Ullman, D. J.: South Greenland ice-sheet collapse during Marine Isotope Stage 11, Nature, 510, 525–528,
https://doi.org/10.1038/nature13456, 2014. a
Robinson, A., Alvarez-Solas, J., Calov, R., Ganopolski, A., and Montoya, M.:
MIS-11 duration key to disappearance of the Greenland Ice Sheet, Nat. Commun., 8, 16008, https://doi.org/10.1038/ncomms16008, 2017. a, b, c
Sato, T. and Greve, R.: Sensitivity experiments for the Antarctic Ice Sheet
with varied sub-ice-shelf melting rates, Ann. Glaciol., 53, 221–228, 2012. a
Scherer, R. P.: Quaternary interglacials and the West Antarctic Ice Sheet, in: Geophysical Monograph Series, vol. 137, edited by: Droxler, A. W., Poore, R. Z., and Burckle, L. H., American Geophysical Union, Washington, D. C., 103–112, https://doi.org/10.1029/137GM08, 2003. a
Scherer, R. P., Aldahan, A., Tulaczyk, S., Possnert, G., Engelhardt, H., and
Kamb, B.: Pleistocene collapse of the West Antarctic Ice Sheet, Science, 281, 82–85, 1998. a
Shackleton, N. J., Sánchez-Goñi, M. F., Pailler, D., and Lancelot, Y.: Marine isotope substage 5e and the Eemian interglacial, Global Planet. Change, 36, 151–155, 2003. a
Sutter, J., Fischer, H., Grosfeld, K., Karlsson, N. B., Kleiner, T., Van Liefferinge, B., and Eisen, O.: Modelling the Antarctic Ice Sheet across the mid-Pleistocene transition – implications for Oldest Ice, The Cryosphere, 13, 2023–2041, https://doi.org/10.5194/tc-13-2023-2019, 2019. a, b, c, d
Swanger, K. M., Lamp, J. L., Winckler, G., Schaefer, J. M., and Marchant, D. R.: Glacier advance during Marine Isotope Stage 11 in the McMurdo dry valleys of Antarctica, Scient. Rep., 7, 41433, https://doi.org/10.1038/srep41433, 2017. a, b, c
Tigchelaar, M., Timmermann, A., Pollard, D., Friedrich, T., and Heinemann, M.: Local insolation changes enhance Antarctic interglacials: Insights from
an 800,000-year ice sheet simulation with transient climate forcing, Earth
Planet. Sc. Lett., 495, 69–78, https://doi.org/10.1016/j.epsl.2018.05.004, 2018. a
Tigchelaar, M., Timmermann, A., Friedrich, T., Heinemann, M., and Pollard, D.: Nonlinear response of the Antarctic Ice Sheet to late Quaternary sea level and climate forcing, The Cryosphere, 13, 2615–2631, https://doi.org/10.5194/tc-13-2615-2019, 2019. a, b, c, d
Turney, C. S. M., Fogwill, C. J., Golledge, N. R., McKay, N. P., van Sebille, E., Jones, R. T., Etheridge, D., Rubino, M., Thornton, D. P., Davies, S. M.,
Bronk Ramsey, C., Thomas, Z. A., Bird, M. I., Munksgaard, N. C., Kohno, M., Woodward, J., Winter, K., Weyrich, L. S., Rootes, C. M., Millman, H., Albert, P. G., Rivera, A., van Ommen, T., Curran, M., Moy, A., Rahmstorf, S., Kawamura, K., Hillenbrand, C.-D., Weber, M. E., Manning, C. J., Young, J., and Cooper, A.: Early Last Interglacial ocean warming drove substantial ice mass loss from Antarctica, P. Natl. Acad. Sci. USA, 117, 3996–4006, 2020. a, b
Tzedakis, P. C., Wolff, E. W., Skinner, L. C., Brovkin, V., Hodell, D. A.,
McManus, J. F., and Raynaud, D.: Can we predict the duration of an interglacial?, Clim. Past, 8, 1473–1485, https://doi.org/10.5194/cp-8-1473-2012, 2012. a
Uemura, R., Motoyama, H., Masson-Delmotte, V., Jouzel, J., Kawamura, K.,
Goto-Azuma, K., Fujita, S., Kuramoto, T., Hirabayashi, M., Miyake, T., Ohno, H., Fujita, K., Abe-Ouchi, A., Iizuka, Y., Horikawa, S., Igarashi, M., Suzuki, K., Suzuki, T., and Fujii, Y,: Asynchrony between Antarctic temperature and CO2 associated with obliquity over the past 720,000 years, Nat. Commun., 9, 961, https://doi.org/10.1038/s41467-018-03328-3, 2018. a, b, c, d
Waelbroeck, C., Labeyrie, L., Michel, E., Duplessy, J., McManus, J., Lambeck,
K., Balbon, E., and Labracherie, M.: Sea-level and deep water temperature
changes derived from benthic foraminifera isotopic records, Quaternary Sci. Rev., 21, 295–305, https://doi.org/10.1016/S0277-3791(01)00101-9, 2002. a, b, c
WAIS Divide Project Members: Onset of deglacial warming in West Antarctica driven by local orbital forcing, Nature, 500, 440–444, https://doi.org/10.1038/nature12376, 2013. a
Willerslev, E., Cappellini, E., Boomsma, W., Nielsen, R., Hebsgaard, M. B.,
Brand, T. B., Hofreiter, M., Bunce, M., Poinar, H. N., Dahl-Jensen, D., Johnsen, S., Steffensen, J. P., Bennike, O., Schwenninger, J.-L., Nathan, R.,
Armitage, S., de Hoog, C.-J., Alfimov, V., Christl, M., Beer, J., Muscheler,
R., Barker, J., Sharp, M., Penkman, K. E. H., Haile, J., Taberlet, P., Gilbert, M. T. P., Casoli, A., Campani, E., and Collins, M. J.: Ancient
Biomolecules from Deep Ice Cores Reveal a Forested Southern Greenland, Science, 317, 111–114, https://doi.org/10.1126/science.1141758, 2007. a
Wilson, D. J., Bertram, R. A., Needham, E. F., van de Flierdt, T., Welsh, K. J., McKay, R. M., Mazumder, A., Riesselman, C. R., Jimenez-Espejo, F. J., and Escutia, C.: Ice loss from the East Antarctic Ice Sheet during late Pleistocene interglacials, Nature, 561, 383–386, https://doi.org/10.1038/s41586-018-0501-8, 2018. a, b, c
Yang, H. and Zhu, J.: Equilibrium thermal response timescale of global oceans, Geophys. Res. Lett., 38, L14711, https://doi.org/10.1029/2011GL048076, 2011.
a
Zeitz, M., Levermann, A., and Winkelmann, R.: Sensitivity of ice loss to
uncertainty in flow law parameters in an idealized one-dimensional geometry,
The Cryosphere, 14, 3537–3550, https://doi.org/10.5194/tc-14-3537-2020, 2020. a
Short summary
We combine a computer model with different climate records to simulate how Antarctica responded to warming during marine isotope substage 11c, which can help understand Antarctica's natural drivers of change. We found that the regional climate warming of Antarctica seen in ice cores was necessary for the model to match the recorded sea level rise. A collapse of its western ice sheet is possible if a modest warming is sustained for ca. 4000 years, contributing 6.7 to 8.2 m to sea level rise.
We combine a computer model with different climate records to simulate how Antarctica responded...
