1,088 results on '"Pattyn, Frank"'
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2. Short- and long-term variability of the Antarctic and Greenland ice sheets
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Hanna, Edward, Topál, Dániel, Box, Jason E., Buzzard, Sammie, Christie, Frazer D. W., Hvidberg, Christine, Morlighem, Mathieu, De Santis, Laura, Silvano, Alessandro, Colleoni, Florence, Sasgen, Ingo, Banwell, Alison F., van den Broeke, Michiel R., DeConto, Robert, De Rydt, Jan, Goelzer, Heiko, Gossart, Alexandra, Gudmundsson, G. Hilmar, Lindbäck, Katrin, Miles, Bertie, Mottram, Ruth, Pattyn, Frank, Reese, Ronja, Rignot, Eric, Srivastava, Aakriti, Sun, Sainan, Toller, Justin, Tuckett, Peter A., and Ultee, Lizz
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- 2024
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3. Projected land ice contributions to twenty-first-century sea level rise
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Edwards, Tamsin L, Nowicki, Sophie, Marzeion, Ben, Hock, Regine, Goelzer, Heiko, Seroussi, Hélène, Jourdain, Nicolas C, Slater, Donald A, Turner, Fiona E, Smith, Christopher J, McKenna, Christine M, Simon, Erika, Abe-Ouchi, Ayako, Gregory, Jonathan M, Larour, Eric, Lipscomb, William H, Payne, Antony J, Shepherd, Andrew, Agosta, Cécile, Alexander, Patrick, Albrecht, Torsten, Anderson, Brian, Asay-Davis, Xylar, Aschwanden, Andy, Barthel, Alice, Bliss, Andrew, Calov, Reinhard, Chambers, Christopher, Champollion, Nicolas, Choi, Youngmin, Cullather, Richard, Cuzzone, Joshua, Dumas, Christophe, Felikson, Denis, Fettweis, Xavier, Fujita, Koji, Galton-Fenzi, Benjamin K, Gladstone, Rupert, Golledge, Nicholas R, Greve, Ralf, Hattermann, Tore, Hoffman, Matthew J, Humbert, Angelika, Huss, Matthias, Huybrechts, Philippe, Immerzeel, Walter, Kleiner, Thomas, Kraaijenbrink, Philip, Le clec’h, Sébastien, Lee, Victoria, Leguy, Gunter R, Little, Christopher M, Lowry, Daniel P, Malles, Jan-Hendrik, Martin, Daniel F, Maussion, Fabien, Morlighem, Mathieu, O’Neill, James F, Nias, Isabel, Pattyn, Frank, Pelle, Tyler, Price, Stephen F, Quiquet, Aurélien, Radić, Valentina, Reese, Ronja, Rounce, David R, Rückamp, Martin, Sakai, Akiko, Shafer, Courtney, Schlegel, Nicole-Jeanne, Shannon, Sarah, Smith, Robin S, Straneo, Fiammetta, Sun, Sainan, Tarasov, Lev, Trusel, Luke D, Van Breedam, Jonas, van de Wal, Roderik, van den Broeke, Michiel, Winkelmann, Ricarda, Zekollari, Harry, Zhao, Chen, Zhang, Tong, and Zwinger, Thomas
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Earth Sciences ,Physical Geography and Environmental Geoscience ,Climate Action ,General Science & Technology - Abstract
The land ice contribution to global mean sea level rise has not yet been predicted1 using ice sheet and glacier models for the latest set of socio-economic scenarios, nor using coordinated exploration of uncertainties arising from the various computer models involved. Two recent international projects generated a large suite of projections using multiple models2-8, but primarily used previous-generation scenarios9 and climate models10, and could not fully explore known uncertainties. Here we estimate probability distributions for these projections under the new scenarios11,12 using statistical emulation of the ice sheet and glacier models. We find that limiting global warming to 1.5 degrees Celsius would halve the land ice contribution to twenty-first-century sea level rise, relative to current emissions pledges. The median decreases from 25 to 13 centimetres sea level equivalent (SLE) by 2100, with glaciers responsible for half the sea level contribution. The projected Antarctic contribution does not show a clear response to the emissions scenario, owing to uncertainties in the competing processes of increasing ice loss and snowfall accumulation in a warming climate. However, under risk-averse (pessimistic) assumptions, Antarctic ice loss could be five times higher, increasing the median land ice contribution to 42 centimetres SLE under current policies and pledges, with the 95th percentile projection exceeding half a metre even under 1.5 degrees Celsius warming. This would severely limit the possibility of mitigating future coastal flooding. Given this large range (between 13 centimetres SLE using the main projections under 1.5 degrees Celsius warming and 42 centimetres SLE using risk-averse projections under current pledges), adaptation planning for twenty-first-century sea level rise must account for a factor-of-three uncertainty in the land ice contribution until climate policies and the Antarctic response are further constrained.
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- 2021
4. Antarctic ice sheet response to sudden and sustained ice-shelf collapse (ABUMIP)
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Sun, Sainan, Pattyn, Frank, Simon, Erika G, Albrecht, Torsten, Cornford, Stephen, Calov, Reinhard, Dumas, Christophe, Gillet-Chaulet, Fabien, Goelzer, Heiko, Golledge, Nicholas R, Greve, Ralf, Hoffman, Matthew J, Humbert, Angelika, Kazmierczak, Elise, Kleiner, Thomas, Leguy, Gunter R, Lipscomb, William H, Martin, Daniel, Morlighem, Mathieu, Nowicki, Sophie, Pollard, David, Price, Stephen, Quiquet, Aurélien, Seroussi, Hélène, Schlemm, Tanja, Sutter, Johannes, van de Wal, Roderik SW, Winkelmann, Ricarda, and Zhang, Tong
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Earth Sciences ,Physical Geography and Environmental Geoscience ,Geology ,Climate Action ,Antarctic glaciology ,ice-sheet modelling ,ice shelves ,Meteorology & Atmospheric Sciences ,Physical geography and environmental geoscience - Abstract
Antarctica's ice shelves modulate the grounded ice flow, and weakening of ice shelves due to climate forcing will decrease their 'buttressing' effect, causing a response in the grounded ice. While the processes governing ice-shelf weakening are complex, uncertainties in the response of the grounded ice sheet are also difficult to assess. The Antarctic BUttressing Model Intercomparison Project (ABUMIP) compares ice-sheet model responses to decrease in buttressing by investigating the 'end-member' scenario of total and sustained loss of ice shelves. Although unrealistic, this scenario enables gauging the sensitivity of an ensemble of 15 ice-sheet models to a total loss of buttressing, hence exhibiting the full potential of marine ice-sheet instability. All models predict that this scenario leads to multi-metre (1-12 m) sea-level rise over 500 years from present day. West Antarctic ice sheet collapse alone leads to a 1.91-5.08 m sea-level rise due to the marine ice-sheet instability. Mass loss rates are a strong function of the sliding/friction law, with plastic laws cause a further destabilization of the Aurora and Wilkes Subglacial Basins, East Antarctica. Improvements to marine ice-sheet models have greatly reduced variability between modelled ice-sheet responses to extreme ice-shelf loss, e.g. compared to the SeaRISE assessments.
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- 2020
5. Projecting Antarctica's contribution to future sea level rise from basal ice shelf melt using linear response functions of 16 ice sheet models (LARMIP-2)
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Levermann, Anders, Winkelmann, Ricarda, Albrecht, Torsten, Goelzer, Heiko, Golledge, Nicholas R, Greve, Ralf, Huybrechts, Philippe, Jordan, Jim, Leguy, Gunter, Martin, Daniel, Morlighem, Mathieu, Pattyn, Frank, Pollard, David, Quiquet, Aurelien, Rodehacke, Christian, Seroussi, Helene, Sutter, Johannes, Zhang, Tong, Van Breedam, Jonas, Calov, Reinhard, DeConto, Robert, Dumas, Christophe, Garbe, Julius, Gudmundsson, G Hilmar, Hoffman, Matthew J, Humbert, Angelika, Kleiner, Thomas, Lipscomb, William H, Meinshausen, Malte, Ng, Esmond, Nowicki, Sophie MJ, Perego, Mauro, Price, Stephen F, Saito, Fuyuki, Schlegel, Nicole-Jeanne, Sun, Sainan, and van de Wal, Roderik SW
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Earth Sciences ,Oceanography ,Physical Geography and Environmental Geoscience ,Geology ,Climate Action ,Atmospheric Sciences ,Climate change science ,Geoinformatics - Abstract
The sea level contribution of the Antarctic ice sheet constitutes a large uncertainty in future sea level projections. Here we apply a linear response theory approach to 16 state-of-the-art ice sheet models to estimate the Antarctic ice sheet contribution from basal ice shelf melting within the 21st century. The purpose of this computation is to estimate the uncertainty of Antarctica's future contribution to global sea level rise that arises from large uncertainty in the oceanic forcing and the associated ice shelf melting. Ice shelf melting is considered to be a major if not the largest perturbation of the ice sheet's flow into the ocean. However, by computing only the sea level contribution in response to ice shelf melting, our study is neglecting a number of processes such as surface-mass-balance-related contributions. In assuming linear response theory, we are able to capture complex temporal responses of the ice sheets, but we neglect any self-dampening or self-amplifying processes. This is particularly relevant in situations in which an instability is dominating the ice loss. The results obtained here are thus relevant, in particular wherever the ice loss is dominated by the forcing as opposed to an internal instability, for example in strong ocean warming scenarios. In order to allow for comparison the methodology was chosen to be exactly the same as in an earlier study (Levermann et al., 2014) but with 16 instead of 5 ice sheet models. We include uncertainty in the atmospheric warming response to carbon emissions (full range of CMIP5 climate model sensitivities), uncertainty in the oceanic transport to the Southern Ocean (obtained from the time-delayed and scaled oceanic subsurface warming in CMIP5 models in relation to the global mean surface warming), and the observed range of responses of basal ice shelf melting to oceanic warming outside the ice shelf cavity. This uncertainty in basal ice shelf melting is then convoluted with the linear response functions of each of the 16 ice sheet models to obtain the ice flow response to the individual global warming path. The model median for the observational period from 1992 to 2017 of the ice loss due to basal ice shelf melting is 10.2 mm, with a likely range between 5.2 and 21.3 mm. For the same period the Antarctic ice sheet lost mass equivalent to 7.4mm of global sea level rise, with a standard deviation of 3.7mm (Shepherd et al., 2018) including all processes, especially surface-mass-balance changes. For the unabated warming path, Representative Concentration Pathway 8.5 (RCP8.5), we obtain a median contribution of the Antarctic ice sheet to global mean sea level rise from basal ice shelf melting within the 21st century of 17 cm, with a likely range (66th percentile around the mean) between 9 and 36 cm and a very likely range (90th percentile around the mean) between 6 and 58 cm. For the RCP2.6 warming path, which will keep the global mean temperature below 2 °C of global warming and is thus consistent with the Paris Climate Agreement, the procedure yields a median of 13 cm of global mean sea level contribution. The likely range for the RCP2.6 scenario is between 7 and 24 cm, and the very likely range is between 4 and 37 cm. The structural uncertainties in the method do not allow for an interpretation of any higher uncertainty percentiles.We provide projections for the five Antarctic regions and for each model and each scenario separately. The rate of sea level contribution is highest under the RCP8.5 scenario. The maximum within the 21st century of the median value is 4 cm per decade, with a likely range between 2 and 9 cm per decade and a very likely range between 1 and 14 cm per decade.
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- 2020
6. Investigating the Dynamic History of a Promontory Ice Rise using Radar Data
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Ershadi, M. Reza, primary, Drews, Reinhard, additional, TISON, Jean-Louis, additional, Martin, Carlos, additional, Henry, Clara, additional, Oraschewski, Falk, additional, Tsibulskaya, Veronica, additional, Sun, Sainan, additional, Wauthy, Sarah, additional, Koch, Inka, additional, Bons, Paul, additional, Eisen, Olaf, additional, and Pattyn, Frank, additional
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- 2024
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7. Design and results of the ice sheet model initialisation experiments initMIP-Greenland: an ISMIP6 intercomparison.
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Goelzer, Heiko, Nowicki, Sophie, Edwards, Tamsin, Beckley, Matthew, Abe-Ouchi, Ayako, Aschwanden, Andy, Calov, Reinhard, Gagliardini, Olivier, Gillet-Chaulet, Fabien, Golledge, Nicholas R, Gregory, Jonathan, Greve, Ralf, Humbert, Angelika, Huybrechts, Philippe, Kennedy, Joseph H, Larour, Eric, Lipscomb, William H, Clećh, Sébastien Le, Lee, Victoria, Morlighem, Mathieu, Pattyn, Frank, Payne, Antony J, Rodehacke, Christian, Rückamp, Martin, Saito, Fuyuki, Schlegel, Nicole, Seroussi, Helene, Shepherd, Andrew, Sun, Sainan, van de Wal, Roderik, and Ziemen, Florian A
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Meteorology & Atmospheric Sciences ,Oceanography ,Physical Geography and Environmental Geoscience - Abstract
Earlier large-scale Greenland ice sheet sea-level projections (e.g., those run during the ice2sea and SeaRISE initiatives) have shown that ice sheet initial conditions have a large effect on the projections and give rise to important uncertainties. The goal of the initMIP-Greenland intercomparison exercise is to compare, evaluate and improve the initialisation techniques used in the ice sheet modelling community and to estimate the associated uncertainties in modelled mass changes. initMIP-Greenland is the first in a series of ice sheet model intercomparison activities within ISMIP6 (the Ice Sheet Model Intercomparison Project for CMIP6), which is the primary activity within the Coupled Model Intercomparison Project - phase 6 (CMIP6) focusing on the ice sheets. Two experiments for the large-scale Greenland ice sheet have been designed to allow intercomparison between participating models of 1) the initial present-day state of the ice sheet and 2) the response in two idealised forward experiments. The forward experiments serve to evaluate the initialisation in terms of model drift (forward run without additional forcing) and in response to a large perturbation (prescribed surface mass balance anomaly), and should not be interpreted as sea-level projections. We present and discuss results that highlight the diversity of data sets, boundary conditions and initialisation techniques used in the community to generate initial states of the Greenland ice sheet. We find good agreement across the ensemble for the dynamic response to surface mass balance changes in areas where the simulated ice sheets overlap, but differences arising from the initial size of the ice sheet. The model drift in the control experiment is reduced for models that participated in earlier intercomparison exercises.
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- 2019
8. The long-term sea-level commitment from Antarctica.
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Klose, Ann Kristin, Coulon, Violaine, Pattyn, Frank, and Winkelmann, Ricarda
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ANTARCTIC ice ,ICE sheets ,ABSOLUTE sea level change ,SEA level ,TIME perspective ,ICE shelves - Abstract
The evolution of the Antarctic Ice Sheet is of vital importance given the coastal and societal implications of ice loss, with a potential to raise sea level by up to 58 m if it melts entirely. However, future ice-sheet trajectories remain highly uncertain. One of the main sources of uncertainty is related to nonlinear processes and feedbacks between the ice sheet and the Earth System on different timescales. Due to these feedbacks and ice-sheet inertia, ice loss may already be triggered in the next decades or centuries and will then unfold thereafter on timescales on the order of multiple centuries to millennia. This committed Antarctic sea-level contribution is not reflected in typical sea-level projections based on mass balance changes of the Antarctic Ice Sheet, which often cover decadal-to-centennial timescales. Here, using two ice-sheet models, we systematically assess the long-term multi-millennial sea-level commitment from Antarctica in response to warming projected over the next centuries under low- and high-emission pathways. This allows us to bring together the time horizon of stakeholder planning and the much longer response times of the Antarctic Ice Sheet. Our results show that warming levels representative of the lower-emission pathway, SSP1-2.6, may already result in an Antarctic mass loss of up to 6 m of sea-level equivalent on multi-millennial timescales. This committed mass loss is due to a strong grounding-line retreat in the West Antarctic Amundsen Sea embayment as well as potential drainage from the Ross Ice Shelf catchment and onset of ice loss from Wilkes subglacial basin in East Antarctica. Beyond the warming levels reached by the end of this century under the higher-emission trajectory, SSP5-8.5, a collapse of the West Antarctic Ice Sheet is triggered in the entire ensemble of simulations from both ice-sheet models. Under enhanced warming, next to ice loss from the marine subglacial basins, we also find a substantial decline in ice volume grounded above sea level in East Antarctica. Over the next millennia, this gives rise to a sea-level increase of up to 40 m in our simulations, stressing the importance of including the committed Antarctic sea-level contribution in future projections. [ABSTRACT FROM AUTHOR]
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- 2024
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9. Antarctic tipping points triggered by the mid-Pliocene warm climate.
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Blasco, Javier, Tabone, Ilaria, Moreno-Parada, Daniel, Robinson, Alexander, Alvarez-Solas, Jorge, Pattyn, Frank, and Montoya, Marisa
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ANTARCTIC ice ,GENERAL circulation model ,ICE sheets ,GLOBAL warming ,SEA level - Abstract
Tipping elements, including the Antarctic Ice Sheet (AIS), are Earth system components that could reach critical thresholds due to anthropogenic emissions. Increasing our understanding of past warm climates can help to elucidate the future contribution of the AIS to emissions. The mid-Pliocene Warm Period (mPWP; ∼ 3.3–3.0 million years ago) serves as an ideal benchmark experiment. During this period, CO2 levels were similar to the present day (PD; 350–450 ppmv), but global mean temperatures were 2.5–4.0 K higher. Sea level reconstructions from that time indicate a rise of 5–25 m compared to the present, highlighting the potential crossing of tipping points in Antarctica. In order to achieve a sea level contribution far beyond 10 m , not only the West Antarctic Ice Sheet (WAIS) needs to largely decrease, but a significant response in the East Antarctic Ice Sheet (EAIS) is also required. A key question in reconstructions and simulations is therefore which of the AIS basins retreated during the mPWP. In this study, we investigate how the AIS responds to climatic and bedrock conditions during the mPWP. To this end, we use the Pliocene Model Intercomparison Project, Phase 2 (PlioMIP2), general circulation model ensemble to force a higher-order ice sheet model. Our simulations reveal that the WAIS experiences collapse with a 0.5 K oceanic warming. The Wilkes Basin shows retreat at 3 K oceanic warming, although higher precipitation rates could mitigate such a retreat. Totten Glacier shows slight signs of retreats only under high-oceanic warming conditions (greater than 4 K oceanic anomaly). If only the WAIS collapses, we simulate a mean contribution of 2.7 to 7.0 ms.l.e. (metres of sea level equivalent). If, in addition, the Wilkes Basin retreats, our simulations suggest a mean contribution of 6.0 to 8.9 ms.l.e. Besides uncertainties related to the climate forcing, we also examine other sources of uncertainty related to initial ice thickness and ice dynamics. We find that the climatologies yield a higher uncertainty than the dynamical configuration if parameters are constrained with PD observations and that starting from Pliocene reconstructions leads to smaller ice sheet configurations due to the hysteresis behaviour of marine bedrocks. Ultimately, our study concludes that marine ice cliff instability is not a prerequisite for the retreat of the Wilkes Basin. Instead, a significant rise in oceanic temperatures can initiate such a retreat. [ABSTRACT FROM AUTHOR]
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- 2024
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10. A fast and unified subglacial hydrological model applied to Thwaites Glacier, Antarctica
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Kazmierczak, Elise, primary, Gregov, Thomas, additional, Coulon, Violaine, additional, and Pattyn, Frank, additional
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- 2024
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11. Supplementary material to "A fast and unified subglacial hydrological model applied to Thwaites Glacier, Antarctica"
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Kazmierczak, Elise, primary, Gregov, Thomas, additional, Coulon, Violaine, additional, and Pattyn, Frank, additional
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- 2024
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12. The effect of ice damage on future Antarctic projections
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Blasco, Javier, primary, Li, Yanjun, additional, Coulon, Violaine, additional, and Pattyn, Frank, additional
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- 2024
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13. Damage accelerates ice shelf instability and mass loss in Amundsen Sea Embayment
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Lhermitte, Stef, Sun, Sainan, Shuman, Christopher, Wouters, Bert, Pattyn, Frank, Wuite, Jan, Berthier, Etienne, and Nagler, Thomas
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- 2020
14. Antarctic blue ice as a porthole to the Solar System
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Pattyn, Frank, Debaille, Vinciane, Fripiat, François, Coheur, Pierre, Agosta, Cecile, Baumhoer, Celia, Zekollari, Harry, Tollenaar, Veronica, Pattyn, Frank, Debaille, Vinciane, Fripiat, François, Coheur, Pierre, Agosta, Cecile, Baumhoer, Celia, Zekollari, Harry, and Tollenaar, Veronica
- Abstract
Meteorites are rocks that fell from space. These unique extraterrestrial samples on Earth provide crucial information for understanding the origin and evolution of our Solar System. Antarctica is the world’s most prolific site for collecting meteorites, with more than 60% of all ∼ 80,000 meteorites ever found on Earth being collected there. Antarctic meteorites are found in areas where ice is exposed, in contrast to most of the continent’s surface which is covered by snow. During Antarctic meteorite recovery missions, these typically dark meteorites are easily found while lying on the surface of the visually contrasting light-blue colored ice. Moreover, the number of meteorites in these blue ice areas can be anomalously high. This concentration of meteorites is related to the sublimation of ice layers and the flow of the ice. Meteorite finds from Antarctica were always fairly dependent on serendipity, with experts selecting sites to visit based on their experience and a limited amount of imagery and maps. In this thesis, I perform continent wide data-driven analyses to understand the potential of blue ice areas for the recovery of meteorites and project their persistence in a warming climate. The search for Antarctic meteorites can be approached with data as there is wealth of observations available from the Antarctic continent, including meteorite finds and satellite products. Moreover, techniques to analyze large amounts of data efficiently are rapidly evolving, of which machine learning the most prominent. Hence, by combining diverse satellite observations in a deep learning framework, I detected blue ice areas. Meteorites are found on blue ice, but not all blue ice areas act as meteorite trap. Therefore, I selected indirect observations of the meteorite concentrating mechanism to understand and predict the presence of meteorites. One of these observations entailed the surface temperature. Consequently, I used projections of future surface temperatures to estimat, Doctorat en Sciences, info:eu-repo/semantics/nonPublished
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- 2024
15. Evolution of the Antarctic Ice Sheet Over the Next Three Centuries From an ISMIP6 Model Ensemble
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Seroussi, Hélène, Pelle, Tyler, Lipscomb, William H., Abe‐Ouchi, Ayako, Albrecht, Torsten, Alvarez‐Solas, Jorge, Asay‐Davis, Xylar, Barre, Jean‐Baptiste, Berends, Constantijn J., Bernales, Jorge, Blasco, Javier, Caillet, Justine, Chandler, David M., Coulon, Violaine, Cullather, Richard, Dumas, Christophe, Galton‐Fenzi, Benjamin K., Garbe, Julius, Gillet‐Chaulet, Fabien, Gladstone, Rupert, Goelzer, Heiko, Golledge, Nicholas, Greve, Ralf, Gudmundsson, G. Hilmar, Han, Holly Kyeore, Hillebrand, Trevor R., Hoffman, Matthew J., Huybrechts, Philippe, Jourdain, Nicolas C., Klose, Ann Kristin, Langebroek, Petra M., Leguy, Gunter R., Lowry, Daniel P., Mathiot, Pierre, Montoya, Marisa, Morlighem, Mathieu, Nowicki, Sophie, Pattyn, Frank, Payne, Antony J., Quiquet, Aurélien, Reese, Ronja, Robinson, Alexander, Saraste, Leopekka, Simon, Erika G., Sun, Sainan, Twarog, Jake P., Trusel, Luke D., Urruty, Benoit, Van Breedam, Jonas, van de Wal, Roderik S. W., Wang, Yu, Zhao, Chen, Zwinger, Thomas, Seroussi, Hélène, Pelle, Tyler, Lipscomb, William H., Abe‐Ouchi, Ayako, Albrecht, Torsten, Alvarez‐Solas, Jorge, Asay‐Davis, Xylar, Barre, Jean‐Baptiste, Berends, Constantijn J., Bernales, Jorge, Blasco, Javier, Caillet, Justine, Chandler, David M., Coulon, Violaine, Cullather, Richard, Dumas, Christophe, Galton‐Fenzi, Benjamin K., Garbe, Julius, Gillet‐Chaulet, Fabien, Gladstone, Rupert, Goelzer, Heiko, Golledge, Nicholas, Greve, Ralf, Gudmundsson, G. Hilmar, Han, Holly Kyeore, Hillebrand, Trevor R., Hoffman, Matthew J., Huybrechts, Philippe, Jourdain, Nicolas C., Klose, Ann Kristin, Langebroek, Petra M., Leguy, Gunter R., Lowry, Daniel P., Mathiot, Pierre, Montoya, Marisa, Morlighem, Mathieu, Nowicki, Sophie, Pattyn, Frank, Payne, Antony J., Quiquet, Aurélien, Reese, Ronja, Robinson, Alexander, Saraste, Leopekka, Simon, Erika G., Sun, Sainan, Twarog, Jake P., Trusel, Luke D., Urruty, Benoit, Van Breedam, Jonas, van de Wal, Roderik S. W., Wang, Yu, Zhao, Chen, and Zwinger, Thomas
- Abstract
The Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6) is the primary effort of CMIP6 (Coupled Model Intercomparison Project–Phase 6) focusing on ice sheets, designed to provide an ensemble of process-based projections of the ice-sheet contribution to sea-level rise over the twenty-first century. However, the behavior of the Antarctic Ice Sheet beyond 2100 remains largely unknown: several instability mechanisms can develop on longer time scales, potentially destabilizing large parts of Antarctica. Projections of Antarctic Ice Sheet evolution until 2300 are presented here, using an ensemble of 16 ice-flow models and forcing from global climate models. Under high-emission scenarios, the Antarctic sea-level contribution is limited to less than 30 cm sea-level equivalent (SLE) by 2100, but increases rapidly thereafter to reach up to 4.4 m SLE by 2300. Simulations including ice-shelf collapse lead to an additional 1.1 m SLE on average by 2300, and can reach 6.9 m SLE. Widespread retreat is observed on that timescale in most West Antarctic basins, leading to a collapse of large sectors of West Antarctica by 2300 in 30%–40% of the ensemble. While the onset date of retreat varies among ice models, the rate of upstream propagation is highly consistent once retreat begins. Calculations of sea-level contribution including water density corrections lead to an additional ∼10% sea level and up to 50% for contributions accounting for bedrock uplift in response to ice loading. Overall, these results highlight large sea-level contributions from Antarctica and suggest that the choice of ice sheet model remains the leading source of uncertainty in multi-century projections.
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- 2024
16. Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
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Tollenaar, Veronica (author), Zekollari, Harry (author), Pattyn, Frank (author), Rußwurm, Marc (author), Kellenberger, Benjamin (author), Lhermitte, S.L.M. (author), Izeboud, M. (author), Tuia, Devis (author), Tollenaar, Veronica (author), Zekollari, Harry (author), Pattyn, Frank (author), Rußwurm, Marc (author), Kellenberger, Benjamin (author), Lhermitte, S.L.M. (author), Izeboud, M. (author), and Tuia, Devis (author)
- Abstract
In some areas of Antarctica, blue-colored bare ice is exposed at the surface. These blue ice areas (BIAs) can trap meteorites or old ice and are vital for understanding the climatic history. By combining multi-sensor remote sensing data (MODIS, RADARSAT-2, and TanDEM-X) in a deep learning framework, we map blue ice across the continent at 200-m resolution. We use a novel methodology for image segmentation with “noisy” labels to learn an underlying “clean” pattern with a neural network. In total, BIAs cover ca. 140,000 km2 (∼1%) of Antarctica, of which nearly 50% located within 20 km of the grounding line. There, the low albedo of blue ice enhances melt-water production and its mapping is crucial for mass balance studies that determine the stability of the ice sheet. Moreover, the map provides input for fieldwork missions and can act as constraint for other geophysical mapping efforts., Mathematical Geodesy and Positioning, Civil Engineering & Geosciences
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- 2024
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17. SUBGLACIAL CONTROLS ON ANTARCTIC ICE SHEET DYNAMICS: Focus on subglacial hydrology and bed rheology
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Pattyn, Frank, Fripiat, François, Arndt, Sandra, Zekollari, Harry, Gagliardini, Olivier, Tison, Jean-Louis, Kazmierczak, Elise, Pattyn, Frank, Fripiat, François, Arndt, Sandra, Zekollari, Harry, Gagliardini, Olivier, Tison, Jean-Louis, and Kazmierczak, Elise
- Abstract
Centrée au Pôle Sud, l’Antarctique constitue la plus grande étendue de glace continentale sur Terre,représentant le plus important réservoir d’eau douce. Cette masse de glace est constamment en mouvement.La glace se déforme sous l’action de la gravité, et glisse sur le substract rocheux sur lequel ellerepose. Depuis des années, l’Antarctique perd de la masse de glace en raison du réchauffement climatique.Les prédictions concernant l’évolution de sa masse de glace et sa contribution potentielle au niveau marinsont très incertaines. Une des principales sources d’incertitude réside dans comment exactement la glaceglisse-t-elle à la base? Le glissement basal inclut le glissement stricto sensu de la glace sur le lit rocheuxdans le cas d’un lit rigide, ainsi que la déformation du lit composé de sédiments dans le cas d’un lit déformable.Dans certaines zones, comme les ice streams, le glissement basal est le processus majoritaire dudéplacement de la glace. Les ice streams drainant la grande majorité de la calotte, il semble essentiel demieux comprendre le processus responsable de leur mouvement. Mathématiquement, le glissement basalest représenté par une loi de glissement reliant la vitesse du glacier à la contrainte exercée par celui-ci surle lit. Cette loi peut prendre plusieurs formes en fonction des phénomènes qu’elle englobe. L’eau sousglaciairejoue un rôle clef dans le glissement basal en lubrifiant le lit rocheux et en réduisant la résistance dusol à la déformation. Cette eau provient de la fonte de la glace à la base et s’organise en différents types desystèmes de drainage classés comme inefficaces ou efficaces. Les systèmes inefficaces se caractérisent parun faible flux en écoulement diffus, tandis que les systèmes efficaces présentent un fort flux en écoulementconcentré dans des conduits. Le premier objectif de cette thèse est de lier l’hydrologie sous-glaciaire auglissement basal à l’aide du modèle numérique Kori-ULB. Pour ce faire, nous évaluons quatre méthodesd, Centered at the South Pole, Antarctica constitutes the largest expanse of continental ice on Earth, representingthe most significant freshwater stock. This mass of ice is in constant motion, deforming underthe influence of gravity and sliding over the bedrock on which it is lying. Antarctica has been losing icemass for years due to global warming. Predictions regarding the evolution of its ice mass and its potentialcontribution to sea level rise are highly uncertain. One of the main sources of uncertainty lies in understandingexactly how the ice slides at the base. Basal sliding includes the sliding of the ice over the bedrockin the case of a hard bed, as well as the deformation of the bed composed of sediments in the case of adeformable and soft bed. In certain areas, such as ice streams, basal sliding is the predominant processin ice movement. As ice streams drain the majority of the ice sheet, it is essential to better understandthe process responsible for their motion. Mathematically, basal sliding is represented by a sliding law relatingthe glacier’s velocity to the stress it exerts on the bed. This law can take various forms dependingon the phenomena it encompasses. Subglacial water plays a key role in basal sliding by lubricating thebedrock and reducing the till’s resistance to deformation. This water comes from the melting of ice at thebase and organizes into different types of drainage systems classified as inefficient or efficient. Inefficientsystems are characterized by low-flow diffuse drainage, while efficient systems exhibit high-flow concentrateddrainage in conduits. The first objective of this thesis is to link subglacial hydrology to basal slidingusing the Kori-ULB numerical ice sheet model. To achieve this, we evaluate four methods developed inthe literature across the entire Antarctic ice sheet and compare them to simulations that do not considersubglacial hydrology. These methods differ in the representation of subglacial water: seawater pressure, Doctorat en Sciences, info:eu-repo/semantics/nonPublished
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- 2024
18. Disentangling the drivers of future Antarctic ice loss with a historically calibrated ice-sheet model
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Coulon, Violaine, Ann Kristin, Klose, Kittel, Christoph, Edwards, Tamsin L, Turner, Fiona, Winkelmann, Ricarda, Pattyn, Frank, Coulon, Violaine, Ann Kristin, Klose, Kittel, Christoph, Edwards, Tamsin L, Turner, Fiona, Winkelmann, Ricarda, and Pattyn, Frank
- Abstract
We use an observationally calibrated ice-sheet model to investigate the future trajectory of the Antarctic ice sheet related to uncertainties in the future balance between sub-shelf melting and ice discharge, on the one hand, and the surface mass balance, on the other. Our ensemble of simulations, forced by a panel of climate models from the sixth phase of the Coupled Model Intercomparison Project (CMIP6), suggests that the ocean will be the primary driver of short-term Antarctic mass loss, initiating ice loss in West Antarctica already during this century. The atmosphere initially plays a mitigating role through increased snowfall, leading to an Antarctic contribution to global mean sea-level rise by 2100 of 6 (−8 to 15) cm under a low-emission scenario and 5.5 (−10 to 16) cm under a very high-emission scenario. However, under the very high-emission pathway, the influence of the atmosphere shifts beyond the end of the century, becoming an amplifying driver of mass loss as the ice sheet's surface mass balance decreases. We show that this transition occurs when Antarctic near-surface warming exceeds a critical threshold of +7.5 ∘C, at which the increase in surface runoff outweighs the increase in snow accumulation, a signal that is amplified by the melt–elevation feedback. Therefore, under the very high-emission scenario, oceanic and atmospheric drivers are projected to result in a complete collapse of the West Antarctic ice sheet along with significant grounding-line retreat in the marine basins of the East Antarctic ice sheet, leading to a median global mean sea-level rise of 2.75 (6.95) m by 2300 (3000). Under a more sustainable socio-economic pathway, we find that the Antarctic ice sheet may still contribute to a median global mean sea-level rise of 0.62 (1.85) m by 2300 (3000). However, the rate of sea-level rise is significantly reduced as mass loss is likely to remain confined to the Amundsen Sea Embayment, where present-day climate conditions seem sufficient, info:eu-repo/semantics/published
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- 2024
19. Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
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Tollenaar, Veronica, Zekollari, Harry, Pattyn, Frank, Rußwurm, Marc, Kellenberger, Benjamin, Lhermitte, Stef, Izeboud, Maaike, Tuia, Devis, Tollenaar, Veronica, Zekollari, Harry, Pattyn, Frank, Rußwurm, Marc, Kellenberger, Benjamin, Lhermitte, Stef, Izeboud, Maaike, and Tuia, Devis
- Abstract
In some areas of Antarctica, blue‐colored bare ice is exposed at the surface. These blue ice areas (BIAs) can trap meteorites or old ice and are vital for understanding the climatic history. By combining multi‐sensor remote sensing data (MODIS, RADARSAT‐2, and TanDEM‐X) in a deep learning framework, we map blue ice across the continent at 200‐m resolution. We use a novel methodology for image segmentation with “noisy” labels to learn an underlying “clean” pattern with a neural network. In total, BIAs cover ca. 140,000 km 2 (∼1%) of Antarctica, of which nearly 50% located within 20 km of the grounding line. There, the low albedo of blue ice enhances melt‐water production and its mapping is crucial for mass balance studies that determine the stability of the ice sheet. Moreover, the map provides input for fieldwork missions and can act as constraint for other geophysical mapping efforts., SCOPUS: ar.j, info:eu-repo/semantics/published
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- 2024
20. Short- and long-term variability of the Antarctic and Greenland ice sheets
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Sub Dynamics Meteorology, Marine and Atmospheric Research, Hanna, Edward, Topál, Dániel, Box, Jason E., Buzzard, Sammie, Christie, Frazer D.W., Hvidberg, Christine, Morlighem, Mathieu, De Santis, Laura, Silvano, Alessandro, Colleoni, Florence, Sasgen, Ingo, Banwell, Alison F., van den Broeke, Michiel R., DeConto, Robert, De Rydt, Jan, Goelzer, Heiko, Gossart, Alexandra, Gudmundsson, G. Hilmar, Lindbäck, Katrin, Miles, Bertie, Mottram, Ruth, Pattyn, Frank, Reese, Ronja, Rignot, Eric, Srivastava, Aakriti, Sun, Sainan, Toller, Justin, Tuckett, Peter A., Ultee, Lizz, Sub Dynamics Meteorology, Marine and Atmospheric Research, Hanna, Edward, Topál, Dániel, Box, Jason E., Buzzard, Sammie, Christie, Frazer D.W., Hvidberg, Christine, Morlighem, Mathieu, De Santis, Laura, Silvano, Alessandro, Colleoni, Florence, Sasgen, Ingo, Banwell, Alison F., van den Broeke, Michiel R., DeConto, Robert, De Rydt, Jan, Goelzer, Heiko, Gossart, Alexandra, Gudmundsson, G. Hilmar, Lindbäck, Katrin, Miles, Bertie, Mottram, Ruth, Pattyn, Frank, Reese, Ronja, Rignot, Eric, Srivastava, Aakriti, Sun, Sainan, Toller, Justin, Tuckett, Peter A., and Ultee, Lizz
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- 2024
21. Antarctic meteorites threatened by climate warming
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Tollenaar, Veronica (author), Zekollari, Harry (author), Kittel, Christoph (author), Farinotti, Daniel (author), Lhermitte, S.L.M. (author), Debaille, Vinciane (author), Goderis, Steven (author), Claeys, Philippe (author), Joy, Katherine Helen (author), Pattyn, Frank (author), Tollenaar, Veronica (author), Zekollari, Harry (author), Kittel, Christoph (author), Farinotti, Daniel (author), Lhermitte, S.L.M. (author), Debaille, Vinciane (author), Goderis, Steven (author), Claeys, Philippe (author), Joy, Katherine Helen (author), and Pattyn, Frank (author)
- Abstract
More than 60% of meteorite finds on Earth originate from Antarctica. Using a data-driven analysis that identifies meteorite-rich sites in Antarctica, we show climate warming causes many extraterrestrial rocks to be lost from the surface by melting into the ice sheet. At present, approximately 5,000 meteorites become inaccessible per year (versus ~1,000 finds per year) and, independent of the emissions scenario, ~24% will be lost by 2050, potentially rising to ∼76% by 2100 under a high-emissions scenario., Mathematical Geodesy and Positioning
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- 2024
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22. Mass balance of the ice sheets and glaciers – Progress since AR5 and challenges
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Hanna, Edward, Pattyn, Frank, Navarro, Francisco, Favier, Vincent, Goelzer, Heiko, van den Broeke, Michiel R., Vizcaino, Miren, Whitehouse, Pippa L., Ritz, Catherine, Bulthuis, Kevin, and Smith, Ben
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- 2020
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23. Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
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Tollenaar, Veronica, primary, Zekollari, Harry, additional, Pattyn, Frank, additional, Rußwurm, Marc, additional, Kellenberger, Benjamin, additional, Lhermitte, Stef, additional, Izeboud, Maaike, additional, and Tuia, Devis, additional
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- 2024
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24. Spatial and temporal variability of environmental proxies from the top 120 m of two ice cores in Dronning Maud Land (East Antarctica)
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Wauthy, Sarah, primary, Tison, Jean-Louis, additional, Inoue, Mana, additional, El Amri, Saïda, additional, Sun, Sainan, additional, Fripiat, François, additional, Claeys, Philippe, additional, and Pattyn, Frank, additional
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- 2024
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25. Experimental design for three interrelated marine ice sheet and ocean model intercomparison projects: MISMIP v. 3 (MISMIP+), ISOMIP v. 2 (ISOMIP+) and MISOMIP v. 1 (MISOMIP1)
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Asay-Davis, Xylar S, Cornford, Stephen L, Durand, Gaël, Galton-Fenzi, Benjamin K, Gladstone, Rupert M, Gudmundsson, G Hilmar, Hattermann, Tore, Holland, David M, Holland, Denise, Holland, Paul R, Martin, Daniel F, Mathiot, Pierre, Pattyn, Frank, and Seroussi, Hélène
- Subjects
Earth Sciences ,Oceanography ,Physical Geography and Environmental Geoscience ,Life Below Water ,Climate Action ,Earth sciences - Abstract
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 marine ice sheets and tidewater glaciers, from process studies to future projections of ice mass loss and sea level rise. The Marine Ice Sheet-Ocean Model Intercomparison Project (MISOMIP) is a community effort aimed at designing and coordinating a series of model intercomparison projects (MIPs) for model evaluation in idealized setups, model verification based on observations, and future projections for key regions of the West Antarctic Ice Sheet (WAIS). Here we describe computational experiments constituting three interrelated MIPs for marine ice sheet models and regional ocean circulation models incorporating ice shelf cavities. These consist of ice sheet experiments under the Marine Ice Sheet MIP third phase (MISMIP+), ocean experiments under the Ice Shelf-Ocean MIP second phase (ISOMIP+) and coupled ice sheet-ocean experiments under the MISOMIP first phase (MISOMIP1). All three MIPs use a shared domain with idealized bedrock topography and forcing, allowing the coupled simulations (MISOMIP1) to be compared directly to the individual component simulations (MISMIP+ and ISOMIP+). The experiments, which have qualitative similarities to Pine Island Glacier Ice Shelf and the adjacent region of the Amundsen Sea, are designed to explore the effects of changes in ocean conditions, specifically the temperature at depth, on basal melting and ice dynamics. In future work, differences between model results will form the basis for the evaluation of the participating models.
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- 2016
26. Radar internal reflection horizons from multisystem data reflect ice dynamic and surface accumulation history along the Princess Ragnhild Coast, Dronning Maud Land, East Antarctica
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Koch, Inka, primary, Drews, Reinhard, additional, Franke, Steven, additional, Jansen, Daniela, additional, Oraschewski, Falk Marius, additional, Muhle, Leah Sophie, additional, Višnjević, Vjeran, additional, Matsuoka, Kenichi, additional, Pattyn, Frank, additional, and Eisen, Olaf, additional
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- 2023
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27. Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
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Seroussi, Hélène, primary, Verjans, Vincent, additional, Nowicki, Sophie, additional, Payne, Antony J., additional, Goelzer, Heiko, additional, Lipscomb, William H., additional, Abe-Ouchi, Ayako, additional, Agosta, Cécile, additional, Albrecht, Torsten, additional, Asay-Davis, Xylar, additional, Barthel, Alice, additional, Calov, Reinhard, additional, Cullather, Richard, additional, Dumas, Christophe, additional, Galton-Fenzi, Benjamin K., additional, Gladstone, Rupert, additional, Golledge, Nicholas R., additional, Gregory, Jonathan M., additional, Greve, Ralf, additional, Hattermann, Tore, additional, Hoffman, Matthew J., additional, Humbert, Angelika, additional, Huybrechts, Philippe, additional, Jourdain, Nicolas C., additional, Kleiner, Thomas, additional, Larour, Eric, additional, Leguy, Gunter R., additional, Lowry, Daniel P., additional, Little, Chistopher M., additional, Morlighem, Mathieu, additional, Pattyn, Frank, additional, Pelle, Tyler, additional, Price, Stephen F., additional, Quiquet, Aurélien, additional, Reese, Ronja, additional, Schlegel, Nicole-Jeanne, additional, Shepherd, Andrew, additional, Simon, Erika, additional, Smith, Robin S., additional, Straneo, Fiammetta, additional, Sun, Sainan, additional, Trusel, Luke D., additional, Van Breedam, Jonas, additional, Van Katwyk, Peter, additional, van de Wal, Roderik S. W., additional, Winkelmann, Ricarda, additional, Zhao, Chen, additional, Zhang, Tong, additional, and Zwinger, Thomas, additional
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- 2023
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28. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet
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Morlighem, Mathieu, Rignot, Eric, Binder, Tobias, Blankenship, Donald, Drews, Reinhard, Eagles, Graeme, Eisen, Olaf, Ferraccioli, Fausto, Forsberg, René, Fretwell, Peter, Goel, Vikram, Greenbaum, Jamin S., Gudmundsson, Hilmar, Guo, Jingxue, Helm, Veit, Hofstede, Coen, Howat, Ian, Humbert, Angelika, Jokat, Wilfried, Karlsson, Nanna B., Lee, Won Sang, Matsuoka, Kenichi, Millan, Romain, Mouginot, Jeremie, Paden, John, Pattyn, Frank, Roberts, Jason, Rosier, Sebastian, Ruppel, Antonia, Seroussi, Helene, Smith, Emma C., Steinhage, Daniel, Sun, Bo, Broeke, Michiel R. van den, Ommen, Tas D. van, Wessem, Melchior van, and Young, Duncan A.
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- 2020
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29. GRANTSISM: An Excel™ Ice Sheet Model for Use in Introductory Earth Science Courses
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Kirchner, Nina, van Dongen, Eef, Gowan, Evan J., Pattyn, Frank, Noormets, Riko, Jakobsson, Martin, and Ingólfsson, Ólafur
- Abstract
GRANTISM (GReenland and ANTarctic Ice Sheet Model) is an educational Excel™ model introduced by Pattyn (2006). Here, GRANTISM is amended to simulate the Svalbard-Barents-Sea Ice Sheet during the Last Glacial Maximum, an analogue for the contemporary West Antarctic Ice Sheet. A new name, "GRANTSISM," is suggested; the added S represents Svalbard. GRANTSISM introduces students of bachelor's or master's programs in Earth sciences (first or second cycle program in the Bologna system for higher education), but with little or no background in numerical modeling, to basic ice sheet modeling. GRANTSISM provides hands-on learning experiences related to ice sheet dynamics in response to climate forcing, and fosters understanding of processes and feedbacks. GRANTSISM was successfully used in noncompulsory courses in which students have been able to reproduce paleo-ice sheet evolution scenarios discussed here as examples. Students progressed further by designing, developing, and analyzing their own modeling scenarios. Here, we describe GRANTSISM and report on how learning activities with GRANTSISM were assessed by students who had no prior experience in ice sheet modeling. The response rate for a noncompulsory survey of the learning activity was less than 40%. A subsequent control experiment with a compulsory survey, however, showed the same patterns of answers, so the student response is considered representative. First, GRANTSISM is concluded to be a highly attractive tool to introduce learners with an interest in ice sheet "behavior" to ice sheet "modeling". Second, it triggers an interest for more in-depth learning experiences related to numerical ice sheet modeling.
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- 2018
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30. A fast and unified subglacial hydrological model applied to Thwaites Glacier, Antarctica.
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Kazmierczak, Elise, Gregov, Thomas, Coulon, Violaine, and Pattyn, Frank
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HYDROLOGIC models ,GLACIERS ,ICE sheets ,COULOMB friction ,WATERSHEDS ,DRUMLINS ,ICE shelves - Abstract
We present a novel and computationally efficient subglacial hydrological model that represents in a unified way both hard and soft bed rheologies as well as a dynamic switch between efficient and inefficient subglacial discharge. The subglacial model is dynamically linked to a regularized Coulomb friction law, allowing for a coupled evolution of the ice sheet on decadal to centennial time scales. The hydrological model is tested on an idealized marine ice sheet and subsequently applied to the drainage basin of Thwaites Glacier, West Antarctica, that is composed of a heterogeneous (hard/soft) bed. We find that subglacial hydrology embedded in the sliding law accelerates the grounding line retreat of Thwaites Glacier under present-day climatic conditions. Highest retreat rates are obtained for hard bed configurations and/or inefficient drainage systems.We show that the sensitivity is particularly driven by large gradients in effective pressure, more so than the value of effective pressure itself in the vicinity of the grounding line. Clearly, a better understanding of the subglacial system is needed with respect to both the spatial and temporal variability in effective pressure and bed rheological conditions. [ABSTRACT FROM AUTHOR]
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- 2024
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31. Grounding-line flux conditions for marine ice-sheet systems under effective-pressure- dependent and hybrid friction laws
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Gregov, Thomas, primary, Pattyn, Frank, additional, and Arnst, Maarten, additional
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- 2023
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32. The long–term sea–level commitment from Antarctica
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Klose, Ann Kristin, primary, Coulon, Violaine, additional, Pattyn, Frank, additional, and Winkelmann, Ricarda, additional
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- 2023
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33. Supplementary material to "The long–term sea–level commitment from Antarctica"
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Klose, Ann Kristin, primary, Coulon, Violaine, additional, Pattyn, Frank, additional, and Winkelmann, Ricarda, additional
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- 2023
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34. Supplementary material to "Antarctic Tipping points triggered by the mid-Pliocene warm climate"
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Blasco, Javier, primary, Tabone, Ilaria, additional, Moreno-Parada, Daniel, additional, Robinson, Alexander, additional, Alvarez-Solas, Jorge, additional, Pattyn, Frank, additional, and Montoya, Marisa, additional
- Published
- 2023
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35. Antarctic Tipping points triggered by the mid-Pliocene warm climate
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Blasco, Javier, primary, Tabone, Ilaria, additional, Moreno-Parada, Daniel, additional, Robinson, Alexander, additional, Alvarez-Solas, Jorge, additional, Pattyn, Frank, additional, and Montoya, Marisa, additional
- Published
- 2023
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36. Grounding-line migration in plan-view marine ice-sheet models: results of the ice2sea MISMIP3d intercomparison
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Pattyn, Frank, Perichon, Laura, Durand, Gael, Favier, Lionel, Gagliardini, Olivier, Hindmarsh, Richard C.A., Zwinger, Thomas, Albrecht, Torsten, Cornford, Stephen, Docquier, David, Furst, Johannes J, Goldberg, Daniel, Gudmundsson, G. Hilmar, Humbert, Angelika, Hutten, Moritz, Huybrechts, Philippe, Jouvet, Guillaume, Kleiner, Thomas, Larour, Eric, Martin, Daniel, Morlighem, Mathieu, Payne, Anthony J, Pollard, David, Ruckamp, Martin, Rybak, Oleg, Seroussi, Helene, Thoma, Malte, and Wilkens, Nina
- Subjects
boundary layer ,computer simulation ,error analysis ,ice sheet ,modeling ,prediction ,spatial variation ,steady-state equilibrium - Abstract
Predictions of marine ice-sheet behaviour require models able to simulate grounding-line migration. We present results of an intercomparison experiment for plan-view marine ice-sheet models. Verification is effected by comparison with approximate analytical solutions for flux across the grounding line using simplified geometrical configurations (no lateral variations, no buttressing effects from lateral drag). Perturbation experiments specifying spatial variation in basal sliding parameters permitted the evolution of curved grounding lines, generating buttressing effects. The experiments showed regions of compression and extensional flow across the grounding line, thereby invalidating the boundary layer theory. Steady-state grounding-line positions were found to be dependent on the level of physical model approximation. Resolving grounding lines requires inclusion of membrane stresses, a sufficiently small grid size (
- Published
- 2013
37. Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
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Seroussi, Hélène, primary, Verjans, Vincent, additional, Nowicki, Sophie, additional, Payne, Antony J., additional, Goelzer, Heiko, additional, Lipscomb, William H., additional, Abe Ouchi, Ayako, additional, Agosta, Cécile, additional, Albrecht, Torsten, additional, Asay-Davis, Xylar, additional, Barthel, Alice, additional, Calov, Reinhard, additional, Cullather, Richard, additional, Dumas, Christophe, additional, Galton-Fenzi, Benjamin K., additional, Gladstone, Rupert, additional, Golledge, Nicholas R., additional, Gregory, Jonathan M., additional, Greve, Ralf, additional, Hatterman, Tore, additional, Hoffman, Matthew J., additional, Humbert, Angelika, additional, Huybrechts, Philippe, additional, Jourdain, Nicolas C., additional, Kleiner, Thomas, additional, Larour, Eric, additional, Leguy, Gunter R., additional, Lowry, Daniel P., additional, Little, Chistopher M., additional, Morlighem, Mathieu, additional, Pattyn, Frank, additional, Pelle, Tyler, additional, Price, Stephen F., additional, Quiquet, Aurélien, additional, Reese, Ronja, additional, Schlegel, Nicole-Jeanne, additional, Shepherd, Andrew, additional, Simon, Erika, additional, Smith, Robin S., additional, Straneo, Fiametta, additional, Sun, Sainan, additional, Trusel, Luke D., additional, Van Breedam, Jonas, additional, Van Katwyk, Peter, additional, van de Wal, Roderik S. W., additional, Winkelmann, Ricarda, additional, Zhao, Chen, additional, Zhang, Tong, additional, and Zwinger, Thomas, additional
- Published
- 2023
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38. Disentangling the drivers of future Antarctic ice loss with a historically-calibrated ice-sheet model
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Coulon, Violaine, primary, Klose, Ann Kristin, additional, Kittel, Christoph, additional, Edwards, Tamsin, additional, Turner, Fiona, additional, Winkelmann, Ricarda, additional, and Pattyn, Frank, additional
- Published
- 2023
- Full Text
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39. Antarctic Bedmap data: Findable, Accessible, Interoperable, and Reusable (FAIR) sharing of 60 years of ice bed, surface, and thickness data
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Frémand, Alice C., primary, Fretwell, Peter, additional, Bodart, Julien A., additional, Pritchard, Hamish D., additional, Aitken, Alan, additional, Bamber, Jonathan L., additional, Bell, Robin, additional, Bianchi, Cesidio, additional, Bingham, Robert G., additional, Blankenship, Donald D., additional, Casassa, Gino, additional, Catania, Ginny, additional, Christianson, Knut, additional, Conway, Howard, additional, Corr, Hugh F. J., additional, Cui, Xiangbin, additional, Damaske, Detlef, additional, Damm, Volkmar, additional, Drews, Reinhard, additional, Eagles, Graeme, additional, Eisen, Olaf, additional, Eisermann, Hannes, additional, Ferraccioli, Fausto, additional, Field, Elena, additional, Forsberg, René, additional, Franke, Steven, additional, Fujita, Shuji, additional, Gim, Yonggyu, additional, Goel, Vikram, additional, Gogineni, Siva Prasad, additional, Greenbaum, Jamin, additional, Hills, Benjamin, additional, Hindmarsh, Richard C. A., additional, Hoffman, Andrew O., additional, Holmlund, Per, additional, Holschuh, Nicholas, additional, Holt, John W., additional, Horlings, Annika N., additional, Humbert, Angelika, additional, Jacobel, Robert W., additional, Jansen, Daniela, additional, Jenkins, Adrian, additional, Jokat, Wilfried, additional, Jordan, Tom, additional, King, Edward, additional, Kohler, Jack, additional, Krabill, William, additional, Kusk Gillespie, Mette, additional, Langley, Kirsty, additional, Lee, Joohan, additional, Leitchenkov, German, additional, Leuschen, Carlton, additional, Luyendyk, Bruce, additional, MacGregor, Joseph, additional, MacKie, Emma, additional, Matsuoka, Kenichi, additional, Morlighem, Mathieu, additional, Mouginot, Jérémie, additional, Nitsche, Frank O., additional, Nogi, Yoshifumi, additional, Nost, Ole A., additional, Paden, John, additional, Pattyn, Frank, additional, Popov, Sergey V., additional, Rignot, Eric, additional, Rippin, David M., additional, Rivera, Andrés, additional, Roberts, Jason, additional, Ross, Neil, additional, Ruppel, Anotonia, additional, Schroeder, Dustin M., additional, Siegert, Martin J., additional, Smith, Andrew M., additional, Steinhage, Daniel, additional, Studinger, Michael, additional, Sun, Bo, additional, Tabacco, Ignazio, additional, Tinto, Kirsty, additional, Urbini, Stefano, additional, Vaughan, David, additional, Welch, Brian C., additional, Wilson, Douglas S., additional, Young, Duncan A., additional, and Zirizzotti, Achille, additional
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- 2023
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- View/download PDF
40. Uncertainty Quantification of the Antarctic Ice-Sheet Retreat Using a Multifidelity Quantile-Based Approach for Confidence Sets of Random Excursion Sets
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Pattyn, Frank, Arnst, Maarten, and Bulthuis, Kevin
- Abstract
UNKNOWN
- Published
- 2020
41. Uncertainty Quantification of the Antarctic Ice-Sheet Retreat Using a Multifidelity Quantile-Based Approach for Confidence Sets of Random Excursion Sets
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Bulthuis, Kevin, Arnst, Maarten, and Pattyn, Frank
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- 2020
42. Antarctic Bedmap data: Findable, Accessible, Interoperable, and Reusable (FAIR) sharing of 60 years of ice bed, surface, and thickness data
- Author
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Frémand, Alice C., Fretwell, Peter, Bodart, Julien A., Pritchard, Hamish D., Aitken, Alan, Bamber, Jonathan L., Bell, Robin, Bianchi, Cesido, Bingham, Robert G., Blankenship, Donald D., Casassa, Gino, Catania, Ginny, Christianson, Knut, Conway, Howard, Corr, Hugh F.J., Cui, Xiangbin, Damaske, Detlef, Damm, Volkmar, Drews, Reinhard, Eagles, Graeme, Eisen, Olaf, Eisermann, Hannes, Ferraccioli, Fausto, Field, Elena, Forsberg, René, Franke, Steven, Fujita, Shuji, Gim, Yonggyu, Goel, Vikram, Gogineni, Siva Prasad, Greenbaum, Jamin, Hills, Benjamin, Hindmarsh, Richard C.A., Hoffman, Andrew O., Holmlund, Per, Holschuh, Nicholas, Holt, John W., Horlings, Anneka N., Humbert, Anglika, Jacobel, Robert W., Jansen, Daniela, Jenkins, Adrian, Jokat, Wilfried, Jordan, Tom, King, Edward, Kohler, Jack, Krabill, William, Langley, Kirsty, Lee, Joohan, Leitchenkov, German, Leuschen, Carlton, Luyendyk, Bruce, MacGregor, Joseph, MacKie, Emma, Matsuoka, Kenichi, Morlighem, Mathieu, Mouginot, Jérémie, Nitsche, Frank O., Nogi, Yoshifumi, Nost, Ole A., Paden, John, Pattyn, Frank, Popov, Sergey V., Rignot, Eric, Rippin, David M., Rivera, Andrés, Roberts, Jason, Ross, Neil, Ruppel, Anotonia, Schroeder, Dustin M., Siegert, Martin J., Smith, Andrew M., Steinhage, Daniel, Studinger, Michael, Sun, Bo, Tabacco, Ignazio, Tinto, Kirsty, Urbini, Stefano, Vaughan, David, Welch, Brian C., Wilson, Douglas S., Young, Duncan A., and Zirizzotti, Achille
- Abstract
One of the key components of this research has been the mapping of Antarctic bed topography and ice thickness parameters that are crucial for modelling ice flow and hence for predicting future ice loss and the ensuing sea level rise. Supported by the Scientific Committee on Antarctic Research (SCAR), the Bedmap3 Action Group aims not only to produce new gridded maps of ice thickness and bed topography for the international scientific community, but also to standardize and make available all the geophysical survey data points used in producing the Bedmap gridded products. Here, we document the survey data used in the latest iteration, Bedmap3, incorporating and adding to all of the datasets previously used for Bedmap1 and Bedmap2, including ice bed, surface and thickness point data from all Antarctic geophysical campaigns since the 1950s. More specifically, we describe the processes used to standardize and make these and future surveys and gridded datasets accessible under the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles. With the goals of making the gridding process reproducible and allowing scientists to re-use the data freely for their own analysis, we introduce the new SCAR Bedmap Data Portal (https://bedmap.scar.org, last access: 1 March 2023) created to provide unprecedented open access to these important datasets through a web-map interface. We believe that this data release will be a valuable asset to Antarctic research and will greatly extend the life cycle of the data held within it. Data are available from the UK Polar Data Centre: https://data.bas.ac.uk (last access: 5 May 2023). See the Data availability section for the complete list of datasets.
- Published
- 2023
43. Physico-chemical properties of the top 120 m of two ice cores in Dronning Maud Land (East Antarctica): an open window on spatial and temporal regional variability of environmental proxies
- Author
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Wauthy, Sarah, primary, Tison, Jean-Louis, additional, Inoue, Mana, additional, El Amri, Saïda, additional, Sun, Sainan, additional, Claeys, Philippe, additional, and Pattyn, Frank, additional
- Published
- 2023
- Full Text
- View/download PDF
44. A new blue ice area map of Antarctica
- Author
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Tollenaar, Veronica, primary, Zekollari, Harry, additional, Tuia, Devis, additional, Rußwurm, Marc, additional, Kellenberger, Benjamin, additional, Lhermitte, Stef, additional, and Pattyn, Frank, additional
- Published
- 2023
- Full Text
- View/download PDF
45. Assessing the role of ice-shelf damage on a three-dimensional ice-sheet model
- Author
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Blasco, Javier, primary, Li, Yanjun, additional, and Pattyn, Frank, additional
- Published
- 2023
- Full Text
- View/download PDF
46. Ocean–Ice Sheet Coupling in the Totten Glacier Area, East Antarctica: Analysis of the Feedbacks and Their Response to a Sudden Ocean Warming
- Author
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Achter, Guillian Van, primary, Fichefet, Thierry, additional, Goosse, Hugues, additional, Pelletier, Charles, additional, Haubner, Konstanze, additional, and Pattyn, Frank, additional
- Published
- 2023
- Full Text
- View/download PDF
47. Antarctic Bedmap data: Findable, Accessible, Interoperable, and Reusable (FAIR) sharing of 60 years of ice bed, surface, and thickness data
- Author
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Frémand, Alice C, Fretwell, Peter, Bodart, Julien A, Pritchard, Hamish D, Aitken, Alan, Bamber, Jonathan L, Bell, Robin, Bianchi, Cesidio, Bingham, Robert G, Blankenship, Donald D, Casassa, Gino, Catania, Ginny, Christianson, Knut, Conway, Howard, Corr, Hugh FJ, Cui, Xiangbin, Damaske, Detlef, Damm, Volkmar, Drews, Reinhard, Eagles, Graeme, Eisen, Olaf, Eisermann, Hannes, Ferraccioli, Fausto, Field, Elena, Forsberg, René, Franke, Steven, Fujita, Shuji, Gim, Yonggyu, Goel, Vikram, Gogineni, Siva Prasad, Greenbaum, Jamin, Hills, Benjamin, Hindmarsh, Richard CA, Hoffman, Andrew O, Holmlund, Per, Holschuh, Nicholas, Holt, John W, Horlings, Annika N, Humbert, Angelika, Jacobel, Robert W, Jansen, Daniela, Jenkins, Adrian, Jokat, Wilfried, Jordan, Tom, King, Edward, Kohler, Jack, Krabill, William, Gillespie, Mette Kusk, Langley, Kirsty, Lee, Joohan, Leitchenkov, German, Leuschen, Carlton, Luyendyk, Bruce, MacGregor, Joseph, MacKie, Emma, Matsuoka, Kenichi, Morlighem, Mathieu, Mouginot, Jérémie, Nitsche, Frank O, Nogi, Yoshifumi, Nost, Ole A, Paden, John, Pattyn, Frank, Popov, Sergey V, Rignot, Eric, Rippin, David M, Rivera, Andrés, Roberts, Jason, Ross, Neil, Ruppel, Anotonia, Schroeder, Dustin M, Siegert, Martin J, Smith, Andrew M, Steinhage, Daniel, Studinger, Michael, Sun, Bo, Tabacco, Ignazio, Tinto, Kirsty, Urbini, Stefano, Vaughan, David, Welch, Brian C, Wilson, Douglas S, Young, Duncan A, Zirizzotti, Achille, Frémand, Alice C, Fretwell, Peter, Bodart, Julien A, Pritchard, Hamish D, Aitken, Alan, Bamber, Jonathan L, Bell, Robin, Bianchi, Cesidio, Bingham, Robert G, Blankenship, Donald D, Casassa, Gino, Catania, Ginny, Christianson, Knut, Conway, Howard, Corr, Hugh FJ, Cui, Xiangbin, Damaske, Detlef, Damm, Volkmar, Drews, Reinhard, Eagles, Graeme, Eisen, Olaf, Eisermann, Hannes, Ferraccioli, Fausto, Field, Elena, Forsberg, René, Franke, Steven, Fujita, Shuji, Gim, Yonggyu, Goel, Vikram, Gogineni, Siva Prasad, Greenbaum, Jamin, Hills, Benjamin, Hindmarsh, Richard CA, Hoffman, Andrew O, Holmlund, Per, Holschuh, Nicholas, Holt, John W, Horlings, Annika N, Humbert, Angelika, Jacobel, Robert W, Jansen, Daniela, Jenkins, Adrian, Jokat, Wilfried, Jordan, Tom, King, Edward, Kohler, Jack, Krabill, William, Gillespie, Mette Kusk, Langley, Kirsty, Lee, Joohan, Leitchenkov, German, Leuschen, Carlton, Luyendyk, Bruce, MacGregor, Joseph, MacKie, Emma, Matsuoka, Kenichi, Morlighem, Mathieu, Mouginot, Jérémie, Nitsche, Frank O, Nogi, Yoshifumi, Nost, Ole A, Paden, John, Pattyn, Frank, Popov, Sergey V, Rignot, Eric, Rippin, David M, Rivera, Andrés, Roberts, Jason, Ross, Neil, Ruppel, Anotonia, Schroeder, Dustin M, Siegert, Martin J, Smith, Andrew M, Steinhage, Daniel, Studinger, Michael, Sun, Bo, Tabacco, Ignazio, Tinto, Kirsty, Urbini, Stefano, Vaughan, David, Welch, Brian C, Wilson, Douglas S, Young, Duncan A, and Zirizzotti, Achille
- Abstract
One of the key components of this research has been the mapping of Antarctic bed topography and ice thickness parameters that are crucial for modelling ice flow and hence for predicting future ice loss and the ensuing sea level rise. Supported by the Scientific Committee on Antarctic Research (SCAR), the Bedmap3 Action Group aims not only to produce new gridded maps of ice thickness and bed topography for the international scientific community, but also to standardize and make available all the geophysical survey data points used in producing the Bedmap gridded products. Here, we document the survey data used in the latest iteration, Bedmap3, incorporating and adding to all of the datasets previously used for Bedmap1 and Bedmap2, including ice bed, surface and thickness point data from all Antarctic geophysical campaigns since the 1950s. More specifically, we describe the processes used to standardize and make these and future surveys and gridded datasets accessible under the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles. With the goals of making the gridding process reproducible and allowing scientists to re-use the data freely for their own analysis, we introduce the new SCAR Bedmap Data Portal (https://bedmap.scar.org, last access: 1 March 2023) created to provide unprecedented open access to these important datasets through a web-map interface. We believe that this data release will be a valuable asset to Antarctic research and will greatly extend the life cycle of the data held within it. Data are available from the UK Polar Data Centre: https://data.bas.ac.uk (last access: 5 May 2023). See the Data availability section for the complete list of datasets.
- Published
- 2023
48. Radar internal reflection horizons from multisystem data reflect ice dynamic and surface accumulation history along the Princess Ragnhild Coast, Dronning Maud Land, East Antarctica
- Author
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Koch, Inka, Drews, Reinhard, Franke, Steven, Jansen, Daniela, Oraschewski, Falk Marius, Muhle, Leah Sophie, Višnjević, Vjeran, Matsuoka, Kenichi, Pattyn, Frank, Eisen, Olaf, Koch, Inka, Drews, Reinhard, Franke, Steven, Jansen, Daniela, Oraschewski, Falk Marius, Muhle, Leah Sophie, Višnjević, Vjeran, Matsuoka, Kenichi, Pattyn, Frank, and Eisen, Olaf
- Abstract
Ice shelves, which regulate ice flow from the Antarctic ice sheet towards the ocean, are shaped by spatiotemporal patterns of surface accumulation, surface/basal melt and ice dynamics. Therefore, an ice dynamic and accumulation history are imprinted in the internal ice stratigraphy, which can be imaged by radar in the form of internal reflection horizons (IRHs). Here, IRHs were derived from radar data combined across radar platforms (airborne and ground-based) in coastal eastern Dronning Maud Land (East Antarctica), comprising three ice rises and adjacent two ice shelves. To facilitate interpretation of dominant spatiotemporal patterns of processes shaping the local IRH geometry, traced IRHs are classified into three different types (laterally continuous, discontinuous or absent/IRH-free). Near-surface laterally continuous IRHs reveal local accumulation patterns, reflecting the mean easterly wind direction, and correlate with surface slopes. Areas of current and past increased ice flow and internal deformation are marked by discontinuous or IRH-free zones, and can inform about paleo ice-stream dynamics. The established IRH datasets extend continent-wide mapping efforts of IRHs to an important and climatically sensitive ice marginal region of Antarctica and are ready for integration into ice-flow models to improve predictions of Antarctic ice drainage.
- Published
- 2023
49. Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
- Author
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Seroussi, Hélène, Verjans, Vincent, Nowicki, Sophie, Payne, Antony J., Goelzer, Heiko, Lipscomb, William H., Abe-Ouchi, Ayako, Agosta, Cécile, Albrecht, Torsten, Asay-Davis, Xylar, Barthel, Alice, Calov, Reinhard, Cullather, Richard, Dumas, Christophe, Galton-Fenzi, Benjamin K., Gladstone, Rupert, Golledge, Nicholas R., Gregory, Jonathan M., Greve, Ralf, Hattermann, Tore, Hoffman, Matthew J., Humbert, Angelika, Huybrechts, Philippe, Jourdain, Nicolas C., Kleiner, Thomas, Larour, Eric, Leguy, Gunter R., Lowry, Daniel P., Little, Chistopher M., Morlighem, Mathieu, Pattyn, Frank, Pelle, Tyler, Price, Stephen F., Quiquet, Aurélien, Reese, Ronja, Schlegel, Nicole Jeanne, Shepherd, Andrew, Simon, Erika, Smith, Robin S., Straneo, Fiammetta, Sun, Sainan, Trusel, Luke D., Van Breedam, Jonas, Van Katwyk, Peter, van de Wal, Roderik S.W., Winkelmann, Ricarda, Zhao, Chen, Zhang, Tong, Zwinger, Thomas, Seroussi, Hélène, Verjans, Vincent, Nowicki, Sophie, Payne, Antony J., Goelzer, Heiko, Lipscomb, William H., Abe-Ouchi, Ayako, Agosta, Cécile, Albrecht, Torsten, Asay-Davis, Xylar, Barthel, Alice, Calov, Reinhard, Cullather, Richard, Dumas, Christophe, Galton-Fenzi, Benjamin K., Gladstone, Rupert, Golledge, Nicholas R., Gregory, Jonathan M., Greve, Ralf, Hattermann, Tore, Hoffman, Matthew J., Humbert, Angelika, Huybrechts, Philippe, Jourdain, Nicolas C., Kleiner, Thomas, Larour, Eric, Leguy, Gunter R., Lowry, Daniel P., Little, Chistopher M., Morlighem, Mathieu, Pattyn, Frank, Pelle, Tyler, Price, Stephen F., Quiquet, Aurélien, Reese, Ronja, Schlegel, Nicole Jeanne, Shepherd, Andrew, Simon, Erika, Smith, Robin S., Straneo, Fiammetta, Sun, Sainan, Trusel, Luke D., Van Breedam, Jonas, Van Katwyk, Peter, van de Wal, Roderik S.W., Winkelmann, Ricarda, Zhao, Chen, Zhang, Tong, and Zwinger, Thomas
- Abstract
The Antarctic Ice Sheet represents the largest source of uncertainty in future sea level rise projections, with a contribution to sea level by 2100 ranging from −5 to 43 cm of sea level equivalent under high carbon emission scenarios estimated by the recent Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). ISMIP6 highlighted the different behaviors of the East and West Antarctic ice sheets, as well as the possible role of increased surface mass balance in offsetting the dynamic ice loss in response to changing oceanic conditions in ice shelf cavities. However, the detailed contribution of individual glaciers, as well as the partitioning of uncertainty associated with this ensemble, have not yet been investigated. Here, we analyze the ISMIP6 results for high carbon emission scenarios, focusing on key glaciers around the Antarctic Ice Sheet, and we quantify their projected dynamic mass loss, defined here as mass loss through increased ice discharge into the ocean in response to changing oceanic conditions. We highlight glaciers contributing the most to sea level rise, as well as their vulnerability to changes in oceanic conditions. We then investigate the different sources of uncertainty and their relative role in projections, for the entire continent and for key individual glaciers. We show that, in addition to Thwaites and Pine Island glaciers in West Antarctica, Totten and Moscow University glaciers in East Antarctica present comparable future dynamic mass loss and high sensitivity to ice shelf basal melt. The overall uncertainty in additional dynamic mass loss in response to changing oceanic conditions, compared to a scenario with constant oceanic conditions, is dominated by the choice of ice sheet model, accounting for 52 % of the total uncertainty of the Antarctic dynamic mass loss in 2100. Its relative role for the most dynamic glaciers varies between 14 % for MacAyeal and Whillans ice streams and 56 % for Pine Island Glacier at the end of the century. The
- Published
- 2023
50. Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
- Author
-
Sub Dynamics Meteorology, Proceskunde, Sub Algemeen Marine & Atmospheric Res, Marine and Atmospheric Research, Seroussi, Hélène, Verjans, Vincent, Nowicki, Sophie, Payne, Antony J., Goelzer, Heiko, Lipscomb, William H., Abe-Ouchi, Ayako, Agosta, Cécile, Albrecht, Torsten, Asay-Davis, Xylar, Barthel, Alice, Calov, Reinhard, Cullather, Richard, Dumas, Christophe, Galton-Fenzi, Benjamin K., Gladstone, Rupert, Golledge, Nicholas R., Gregory, Jonathan M., Greve, Ralf, Hattermann, Tore, Hoffman, Matthew J., Humbert, Angelika, Huybrechts, Philippe, Jourdain, Nicolas C., Kleiner, Thomas, Larour, Eric, Leguy, Gunter R., Lowry, Daniel P., Little, Chistopher M., Morlighem, Mathieu, Pattyn, Frank, Pelle, Tyler, Price, Stephen F., Quiquet, Aurélien, Reese, Ronja, Schlegel, Nicole Jeanne, Shepherd, Andrew, Simon, Erika, Smith, Robin S., Straneo, Fiammetta, Sun, Sainan, Trusel, Luke D., Van Breedam, Jonas, Van Katwyk, Peter, van de Wal, Roderik S.W., Winkelmann, Ricarda, Zhao, Chen, Zhang, Tong, Zwinger, Thomas, Sub Dynamics Meteorology, Proceskunde, Sub Algemeen Marine & Atmospheric Res, Marine and Atmospheric Research, Seroussi, Hélène, Verjans, Vincent, Nowicki, Sophie, Payne, Antony J., Goelzer, Heiko, Lipscomb, William H., Abe-Ouchi, Ayako, Agosta, Cécile, Albrecht, Torsten, Asay-Davis, Xylar, Barthel, Alice, Calov, Reinhard, Cullather, Richard, Dumas, Christophe, Galton-Fenzi, Benjamin K., Gladstone, Rupert, Golledge, Nicholas R., Gregory, Jonathan M., Greve, Ralf, Hattermann, Tore, Hoffman, Matthew J., Humbert, Angelika, Huybrechts, Philippe, Jourdain, Nicolas C., Kleiner, Thomas, Larour, Eric, Leguy, Gunter R., Lowry, Daniel P., Little, Chistopher M., Morlighem, Mathieu, Pattyn, Frank, Pelle, Tyler, Price, Stephen F., Quiquet, Aurélien, Reese, Ronja, Schlegel, Nicole Jeanne, Shepherd, Andrew, Simon, Erika, Smith, Robin S., Straneo, Fiammetta, Sun, Sainan, Trusel, Luke D., Van Breedam, Jonas, Van Katwyk, Peter, van de Wal, Roderik S.W., Winkelmann, Ricarda, Zhao, Chen, Zhang, Tong, and Zwinger, Thomas
- Published
- 2023
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