Articles | Volume 14, issue 4
https://doi.org/10.5194/cp-14-455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-14-455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The sensitivity of the Greenland Ice Sheet to glacial–interglacial oceanic forcing
Universidad Complutense de Madrid, 28040 Madrid, Spain
Instituto de Geociencias, Consejo Superior de Investigaciones
Cientificas-Universidad Complutense de Madrid, 28040 Madrid, Spain
Javier Blasco
Universidad Complutense de Madrid, 28040 Madrid, Spain
Instituto de Geociencias, Consejo Superior de Investigaciones
Cientificas-Universidad Complutense de Madrid, 28040 Madrid, Spain
Alexander Robinson
Universidad Complutense de Madrid, 28040 Madrid, Spain
Instituto de Geociencias, Consejo Superior de Investigaciones
Cientificas-Universidad Complutense de Madrid, 28040 Madrid, Spain
now at: Faculty of Geology and Geoenvironment, University of
Athens, 15784 Athens, Greece
Jorge Alvarez-Solas
Universidad Complutense de Madrid, 28040 Madrid, Spain
Instituto de Geociencias, Consejo Superior de Investigaciones
Cientificas-Universidad Complutense de Madrid, 28040 Madrid, Spain
Marisa Montoya
Universidad Complutense de Madrid, 28040 Madrid, Spain
Instituto de Geociencias, Consejo Superior de Investigaciones
Cientificas-Universidad Complutense de Madrid, 28040 Madrid, Spain
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Katrina Lutz, Ilaria Tabone, Angelika Humbert, and Matthias Braun
EGUsphere, https://doi.org/10.5194/egusphere-2024-3056, https://doi.org/10.5194/egusphere-2024-3056, 2024
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Supraglacial lakes develop from meltwater collecting on the surface of glaciers. These lakes can drain rapidly, discharging meltwater to the glacier bed. In this study, we assess the spatial and temporal distribution of rapid drainages in Northeast Greenland using optical satellite images. After comparing rapid drainage occurrence with several environmental and geophysical parameters, little indication of the influencing conditions for a rapid drainage was found.
Javier Blasco, Ilaria Tabone, Daniel Moreno-Parada, Alexander Robinson, Jorge Alvarez-Solas, Frank Pattyn, and Marisa Montoya
Clim. Past, 20, 1919–1938, https://doi.org/10.5194/cp-20-1919-2024, https://doi.org/10.5194/cp-20-1919-2024, 2024
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In this study, we assess Antarctic tipping points which may had been crossed during the mid-Pliocene Warm Period. For this, we use data from the PlioMIP2 ensemble. Additionally, we investigate various sources of uncertainty, like ice dynamics and bedrock configuration. Our research significantly enhances our comprehension of Antarctica's response to a warming climate, shedding light on potential future tipping points that may be surpassed.
Ilaria Tabone, Alexander Robinson, Jorge Alvarez-Solas, and Marisa Montoya
The Cryosphere, 13, 1911–1923, https://doi.org/10.5194/tc-13-1911-2019, https://doi.org/10.5194/tc-13-1911-2019, 2019
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Recent reconstructions show that the North East Greenland Ice Stream (NEGIS) retreated away from its present-day position by 20–40 km during MIS-3. Atmospheric and external forcings were proposed as potential causes of this retreat, but the role of the ocean was not considered. Here, using a 3-D ice-sheet model, we suggest that oceanic warming is sufficient to induce a retreat of the NEGIS margin of many tens of kilometres during MIS-3, helping to explain this conundrum.
Ilaria Tabone, Alexander Robinson, Jorge Alvarez-Solas, and Marisa Montoya
Clim. Past, 15, 593–609, https://doi.org/10.5194/cp-15-593-2019, https://doi.org/10.5194/cp-15-593-2019, 2019
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By using a 3-D hybrid ice-sheet–shelf model, we investigate the impact of millennial-scale oceanic variability on the Greenland Ice Sheet (GrIS) evolution during the last glacial period (LGP). We show that the GrIS may have strongly reacted to oceanic temperature fluctuations associated with Dansgaard–Oeschger cycles, contributing to sea-level variations of more than 1 m. Our results open the chance for a non-negligible role of the GrIS in millennial-scale oceanic reorganisations during the LGP.
Javier Blasco, Ilaria Tabone, Jorge Alvarez-Solas, Alexander Robinson, and Marisa Montoya
Clim. Past, 15, 121–133, https://doi.org/10.5194/cp-15-121-2019, https://doi.org/10.5194/cp-15-121-2019, 2019
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The LGP is a period punctuated by the presence of several abrupt climate events and sea-level variations of up to 20 m at millennial timescales. The origin of those fluctuations is attributed to NH paleo ice sheets, but a contribution from the AIS cannot be excluded. Here, for the first time, we investigate the response of the AIS to millennial climate variability using an ice sheet–shelf model. We shows that the AIS produces substantial sea-level rises and grounding line migrations.
Katrina Lutz, Ilaria Tabone, Angelika Humbert, and Matthias Braun
EGUsphere, https://doi.org/10.5194/egusphere-2024-3056, https://doi.org/10.5194/egusphere-2024-3056, 2024
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Supraglacial lakes develop from meltwater collecting on the surface of glaciers. These lakes can drain rapidly, discharging meltwater to the glacier bed. In this study, we assess the spatial and temporal distribution of rapid drainages in Northeast Greenland using optical satellite images. After comparing rapid drainage occurrence with several environmental and geophysical parameters, little indication of the influencing conditions for a rapid drainage was found.
Yanjun Li, Violaine Coulon, Javier Blasco, Gang Qiao, Qinghua Yang, and Frank Pattyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-2916, https://doi.org/10.5194/egusphere-2024-2916, 2024
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We incorporate ice damage processes into an ice-sheet model and apply the new model to Thwaites Glacier. The upgraded model more accurately captures the observed ice geometry and mass balance of Thwaites Glacier over 1990–2020. Our simulations show that ice damage has a notable impact on the ice sheet evolution, ice mass loss and the resulted sea-level rise. This study highlights the necessity for incorporating ice damage into ice-sheet models.
Antonio Juarez-Martinez, Javier Blasco, Alexander Robinson, Marisa Montoya, and Jorge Alvarez-Solas
The Cryosphere, 18, 4257–4283, https://doi.org/10.5194/tc-18-4257-2024, https://doi.org/10.5194/tc-18-4257-2024, 2024
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We present sea level projections for Antarctica in the context of ISMIP6-2300 with several forcings but extend the simulations to 2500, showing that more than 3 m of sea level contribution could be reached. We also test the sensitivity on a basal melting parameter and determine the timing of the loss of ice in the west region. All the simulations were carried out with the ice sheet model Yelmo.
Therese Rieckh, Andreas Born, Alexander Robinson, Robert Law, and Gerrit Gülle
Geosci. Model Dev., 17, 6987–7000, https://doi.org/10.5194/gmd-17-6987-2024, https://doi.org/10.5194/gmd-17-6987-2024, 2024
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We present the open-source model ELSA, which simulates the internal age structure of large ice sheets. It creates layers of snow accumulation at fixed times during the simulation, which are used to model the internal stratification of the ice sheet. Together with reconstructed isochrones from radiostratigraphy data, ELSA can be used to assess ice sheet models and to improve their parameterization. ELSA can be used coupled to an ice sheet model or forced with its output.
Daniel Moreno-Parada, Alexander Robinson, Marisa Montoya, and Jorge Alvarez-Solas
The Cryosphere, 18, 4215–4232, https://doi.org/10.5194/tc-18-4215-2024, https://doi.org/10.5194/tc-18-4215-2024, 2024
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Our study tries to understand how the ice temperature evolves in a large mass as in the case of Antarctica. We found a relation that tells us the ice temperature at any point. These results are important because they also determine how the ice moves. In general, ice moves due to slow deformation (as if pouring honey from a jar). Nevertheless, in some regions the ice base warms enough and melts. The liquid water then serves as lubricant and the ice slides and its velocity increases rapidly.
Javier Blasco, Ilaria Tabone, Daniel Moreno-Parada, Alexander Robinson, Jorge Alvarez-Solas, Frank Pattyn, and Marisa Montoya
Clim. Past, 20, 1919–1938, https://doi.org/10.5194/cp-20-1919-2024, https://doi.org/10.5194/cp-20-1919-2024, 2024
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In this study, we assess Antarctic tipping points which may had been crossed during the mid-Pliocene Warm Period. For this, we use data from the PlioMIP2 ensemble. Additionally, we investigate various sources of uncertainty, like ice dynamics and bedrock configuration. Our research significantly enhances our comprehension of Antarctica's response to a warming climate, shedding light on potential future tipping points that may be surpassed.
Jan Swierczek-Jereczek, Marisa Montoya, Konstantin Latychev, Alexander Robinson, Jorge Alvarez-Solas, and Jerry Mitrovica
Geosci. Model Dev., 17, 5263–5290, https://doi.org/10.5194/gmd-17-5263-2024, https://doi.org/10.5194/gmd-17-5263-2024, 2024
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Ice sheets present a thickness of a few kilometres, leading to a vertical deformation of the crust of up to a kilometre. This process depends on properties of the solid Earth, which can be regionally very different. We propose a model that accounts for this often-ignored heterogeneity and run 100 000 simulation years in minutes. Thus, the evolution of ice sheets is modeled with better accuracy, which is critical for a good mitigation of climate change and, in particular, sea-level rise.
Sergio Pérez-Montero, Jorge Alvarez-Solas, Jan Swierczek-Jereczek, Daniel Moreno-Parada, Marisa Montoya, and Alexander Robinson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1842, https://doi.org/10.5194/egusphere-2024-1842, 2024
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The climate of the last 3 Myr varies between cold and warm periods. Numerous independent mechanisms have been proposed to explain this, however no effort has been made to study their competing effects. Here we present a simple but physically motivated model that includes these mechanisms in a modular way. We find that the main trigger is the displacement of the lithosphere due to the ice thickness evolution, but reproducing the climate records additionally requires the natural darkening of ice.
Daniel Moreno-Parada, Alexander Robinson, Marisa Montoya, and Jorge Alvarez-Solas
EGUsphere, https://doi.org/10.5194/egusphere-2023-2690, https://doi.org/10.5194/egusphere-2023-2690, 2023
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We introduce Nix, an ice-sheet model designed for understanding how large masses of ice behave. Nix as a computer program that simulates the movement and temperature changes in ice sheets. Nix helps us study how ice sheets respond to changes in the atmosphere and ocean. We found that how fast ice melts under the shelves and how heat is exchanged, play a role in determining the future of ice sheets. Nix is a useful tool for learning more about how climate change affects polar ice sheets.
Daniel Moreno-Parada, Jorge Alvarez-Solas, Javier Blasco, Marisa Montoya, and Alexander Robinson
The Cryosphere, 17, 2139–2156, https://doi.org/10.5194/tc-17-2139-2023, https://doi.org/10.5194/tc-17-2139-2023, 2023
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We have reconstructed the Laurentide Ice Sheet, located in North America during the Last Glacial Maximum (21 000 years ago). The absence of direct measurements raises a number of uncertainties. Here we study the impact of different physical laws that describe the friction as the ice slides over its base. We found that the Laurentide Ice Sheet is closest to prior reconstructions when the basal friction takes into account whether the base is frozen or thawed during its motion.
Matteo Willeit, Andrey Ganopolski, Alexander Robinson, and Neil R. Edwards
Geosci. Model Dev., 15, 5905–5948, https://doi.org/10.5194/gmd-15-5905-2022, https://doi.org/10.5194/gmd-15-5905-2022, 2022
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In this paper we present the climate component of the newly developed fast Earth system model CLIMBER-X. It has a horizontal resolution of 5°x5° and is designed to simulate the evolution of the Earth system on temporal scales ranging from decades to >100 000 years. CLIMBER-X is available as open-source code and is expected to be a useful tool for studying past climate changes and for the investigation of the long-term future evolution of the climate.
Alexander Robinson, Daniel Goldberg, and William H. Lipscomb
The Cryosphere, 16, 689–709, https://doi.org/10.5194/tc-16-689-2022, https://doi.org/10.5194/tc-16-689-2022, 2022
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Here we investigate the numerical stability of several commonly used methods in order to determine which of them are capable of resolving the complex physics of the ice flow and are also computationally efficient. We find that the so-called DIVA solver outperforms the others. Its representation of the physics is consistent with more complex methods, while it remains computationally efficient at high resolution.
Andreas Born and Alexander Robinson
The Cryosphere, 15, 4539–4556, https://doi.org/10.5194/tc-15-4539-2021, https://doi.org/10.5194/tc-15-4539-2021, 2021
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Ice penetrating radar reflections from the Greenland ice sheet are the best available record of past accumulation and how these layers have been deformed over time by the flow of ice. Direct simulations of this archive hold great promise for improving our models and for uncovering details of ice sheet dynamics that neither models nor data could achieve alone. We present the first three-dimensional ice sheet model that explicitly simulates individual layers of accumulation and how they deform.
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
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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.
Alexander Robinson, Jorge Alvarez-Solas, Marisa Montoya, Heiko Goelzer, Ralf Greve, and Catherine Ritz
Geosci. Model Dev., 13, 2805–2823, https://doi.org/10.5194/gmd-13-2805-2020, https://doi.org/10.5194/gmd-13-2805-2020, 2020
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Here we describe Yelmo v1.0, an intuitive and state-of-the-art hybrid ice sheet model. The model design and physics are described, and benchmark simulations are provided to validate its performance. Yelmo is a versatile ice sheet model that can be applied to a wide variety of problems.
Jorge Alvarez-Solas, Marisa Montoya, and Alexander Robinson
Clim. Past Discuss., https://doi.org/10.5194/cp-2019-96, https://doi.org/10.5194/cp-2019-96, 2019
Publication in CP not foreseen
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Modelling the past abrupt climate changes often resorts to the use of freshwater flux (FWF) in the North Atlantic as an effective method to cause reorganizations of the Atlantic Meridional Overturning Circulation. This procedure has allowed to reproduce the timing of the events. However, the required FWF is inconsistent with reconstructions. Conversely, using a forcing derived from the sea-level record results in a poor fit with the data, highlighting the need of exploring other mechanisms.
Ilaria Tabone, Alexander Robinson, Jorge Alvarez-Solas, and Marisa Montoya
The Cryosphere, 13, 1911–1923, https://doi.org/10.5194/tc-13-1911-2019, https://doi.org/10.5194/tc-13-1911-2019, 2019
Short summary
Short summary
Recent reconstructions show that the North East Greenland Ice Stream (NEGIS) retreated away from its present-day position by 20–40 km during MIS-3. Atmospheric and external forcings were proposed as potential causes of this retreat, but the role of the ocean was not considered. Here, using a 3-D ice-sheet model, we suggest that oceanic warming is sufficient to induce a retreat of the NEGIS margin of many tens of kilometres during MIS-3, helping to explain this conundrum.
Jorge Alvarez-Solas, Rubén Banderas, Alexander Robinson, and Marisa Montoya
Clim. Past, 15, 957–979, https://doi.org/10.5194/cp-15-957-2019, https://doi.org/10.5194/cp-15-957-2019, 2019
Short summary
Short summary
The last glacial period was marked by the existence of of abrupt climatic changes; it is generally accepted that the presence of ice sheets played an important role in their occurrence. While an important effort has been made to investigate the dynamics and evolution of the Laurentide ice sheet during this period, the Eurasian ice sheet (EIS) has not received much attention. Here we investigate the response of the EIS to millennial-scale climate variability using a hybrid 3-D ice-sheet model.
Ilaria Tabone, Alexander Robinson, Jorge Alvarez-Solas, and Marisa Montoya
Clim. Past, 15, 593–609, https://doi.org/10.5194/cp-15-593-2019, https://doi.org/10.5194/cp-15-593-2019, 2019
Short summary
Short summary
By using a 3-D hybrid ice-sheet–shelf model, we investigate the impact of millennial-scale oceanic variability on the Greenland Ice Sheet (GrIS) evolution during the last glacial period (LGP). We show that the GrIS may have strongly reacted to oceanic temperature fluctuations associated with Dansgaard–Oeschger cycles, contributing to sea-level variations of more than 1 m. Our results open the chance for a non-negligible role of the GrIS in millennial-scale oceanic reorganisations during the LGP.
Javier Blasco, Ilaria Tabone, Jorge Alvarez-Solas, Alexander Robinson, and Marisa Montoya
Clim. Past, 15, 121–133, https://doi.org/10.5194/cp-15-121-2019, https://doi.org/10.5194/cp-15-121-2019, 2019
Short summary
Short summary
The LGP is a period punctuated by the presence of several abrupt climate events and sea-level variations of up to 20 m at millennial timescales. The origin of those fluctuations is attributed to NH paleo ice sheets, but a contribution from the AIS cannot be excluded. Here, for the first time, we investigate the response of the AIS to millennial climate variability using an ice sheet–shelf model. We shows that the AIS produces substantial sea-level rises and grounding line migrations.
Rubén Banderas, Jorge Alvarez-Solas, Alexander Robinson, and Marisa Montoya
Geosci. Model Dev., 11, 2299–2314, https://doi.org/10.5194/gmd-11-2299-2018, https://doi.org/10.5194/gmd-11-2299-2018, 2018
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Here we present a new approach to force ice-sheet models offline, which accounts for a more realistic treatment of millennial-scale climate variability as compared to the existing methods. Our results reveal that an incorrect representation of the characteristic pattern of millennial-scale climate variability within the climate forcing not only affects NH ice-volume variations at millennial timescales but has consequences for glacial–interglacial ice-volume changes too.
Jorge Alvarez-Solas, Rubén Banderas, Alexander Robinson, and Marisa Montoya
Clim. Past Discuss., https://doi.org/10.5194/cp-2017-143, https://doi.org/10.5194/cp-2017-143, 2017
Revised manuscript not accepted
Short summary
Short summary
The last glacial period was marked by the existence of of abrupt climatic changes. It is generally accepted that the presence of ice sheets played an
important role in their occurrence. While an important effort has been made to investigate the dynamics and evolution of the Laurentide Ice Sheet during this period, the Eurasian Ice Sheet (EIS) has not received much attention. Here we investigate the response of the EIS to millennial-scale climate variability. We use a hybrid 3D ice-sheet model.
Mario Krapp, Alexander Robinson, and Andrey Ganopolski
The Cryosphere, 11, 1519–1535, https://doi.org/10.5194/tc-11-1519-2017, https://doi.org/10.5194/tc-11-1519-2017, 2017
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We present the snowpack model SEMIC. It calculates snow height, surface temperature, surface albedo, and the surface mass balance of snow- and ice-covered surfaces while using meteorological data as input. In this paper we describe how SEMIC works and how well it compares with snowpack data of a more sophisticated regional climate model applied to the Greenland ice sheet. Because of its simplicity and efficiency, SEMIC can be used as a coupling interface between atmospheric and ice sheet models.
A. Robinson and M. Perrette
Geosci. Model Dev., 8, 1877–1883, https://doi.org/10.5194/gmd-8-1877-2015, https://doi.org/10.5194/gmd-8-1877-2015, 2015
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Here we present a concise interface to the NetCDF library designed to simplify reading and writing tasks of up to 6-D arrays in Fortran programs.
R. Calov, A. Robinson, M. Perrette, and A. Ganopolski
The Cryosphere, 9, 179–196, https://doi.org/10.5194/tc-9-179-2015, https://doi.org/10.5194/tc-9-179-2015, 2015
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Ice discharge into the ocean from outlet glaciers is an important
component of mass loss of the Greenland ice sheet. Here, we present a
simple parameterization of ice discharge for coarse resolution ice
sheet models, suitable for large ensembles or long-term palaeo
simulations. This parameterization reproduces in a good approximation
the present-day ice discharge compared with estimates, and the
simulation of the present-day ice sheet elevation is considerably
improved.
A. Robinson and H. Goelzer
The Cryosphere, 8, 1419–1428, https://doi.org/10.5194/tc-8-1419-2014, https://doi.org/10.5194/tc-8-1419-2014, 2014
Related subject area
Subject: Ice Dynamics | Archive: Modelling only | Timescale: Pleistocene
Late Pleistocene glacial terminations accelerated by proglacial lakes
Climate and ice sheet dynamics in Patagonia throughout marine isotope stages 2 and 3
Relative importance of the mechanisms triggering the Eurasian ice sheet deglaciation in the GRISLI2.0 ice sheet model
Simulation of the Greenland Ice Sheet over two glacial–interglacial cycles: investigating a sub-ice- shelf melt parameterization and relative sea level forcing in an ice-sheet–ice-shelf model
Last Interglacial climate and sea-level evolution from a coupled ice sheet–climate model
Modeling Northern Hemisphere ice-sheet distribution during MIS 5 and MIS 7 glacial inceptions
Meike D. W. Scherrenberg, Constantijn J. Berends, and Roderik S. W. van de Wal
Clim. Past, 20, 1761–1784, https://doi.org/10.5194/cp-20-1761-2024, https://doi.org/10.5194/cp-20-1761-2024, 2024
Short summary
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During Late Pleistocene glacial cycles, the Eurasian and North American ice sheets grew and melted, resulting in over 100 m of sea-level change. Studying the melting of past ice sheets can improve our understanding of how ice sheets might respond in the future. In this study, we find that melting increases due to proglacial lakes forming at the margins of the ice sheets, primarily due to the reduced basal friction of floating ice. Furthermore, bedrock uplift rates can strongly influence melting.
Andrés Castillo-Llarena, Franco Retamal-Ramírez, Jorge Bernales, Martín Jacques-Coper, Matthias Prange, and Irina Rogozhina
Clim. Past, 20, 1559–1577, https://doi.org/10.5194/cp-20-1559-2024, https://doi.org/10.5194/cp-20-1559-2024, 2024
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During the last glacial period, the Patagonian Ice Sheet grew along the southern Andes, leaving marks on the landscape showing its former extents and timing. We use paleoclimate and ice sheet models to replicate its glacial history. We find that errors in the model-based ice sheet are likely induced by imprecise reconstructions of air temperature due to poorly resolved Andean topography in global climate models, while a fitting regional climate history is only captured by local sediment records.
Victor van Aalderen, Sylvie Charbit, Christophe Dumas, and Aurélien Quiquet
Clim. Past, 20, 187–209, https://doi.org/10.5194/cp-20-187-2024, https://doi.org/10.5194/cp-20-187-2024, 2024
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We present idealized numerical experiments to test the main mechanisms that triggered the deglaciation of the past Eurasian ice sheet. Simulations were performed with the GRISLI2.0 ice sheet model. The results indicate that the Eurasian ice sheet was primarily driven by surface melting, due to increased atmospheric temperatures. Basal melting below the ice shelves is only a significant driver if ocean temperatures increase by nearly 10 °C, in contrast with the findings of previous studies.
Sarah L. Bradley, Thomas J. Reerink, Roderik S. W. van de Wal, and Michiel M. Helsen
Clim. Past, 14, 619–635, https://doi.org/10.5194/cp-14-619-2018, https://doi.org/10.5194/cp-14-619-2018, 2018
Heiko Goelzer, Philippe Huybrechts, Marie-France Loutre, and Thierry Fichefet
Clim. Past, 12, 2195–2213, https://doi.org/10.5194/cp-12-2195-2016, https://doi.org/10.5194/cp-12-2195-2016, 2016
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We simulate the climate, ice sheet, and sea-level evolution during the Last Interglacial (~ 130 to 115 kyr BP), the most recent warm period in Earth’s history. Our Earth system model includes components representing the atmosphere, the ocean and sea ice, the terrestrial biosphere, and the Greenland and Antarctic ice sheets. Our simulation is in good agreement with available data reconstructions and gives important insights into the dominant mechanisms that caused ice sheet changes in the past.
F. Colleoni, S. Masina, A. Cherchi, A. Navarra, C. Ritz, V. Peyaud, and B. Otto-Bliesner
Clim. Past, 10, 269–291, https://doi.org/10.5194/cp-10-269-2014, https://doi.org/10.5194/cp-10-269-2014, 2014
Cited articles
Alley, R. B., Anandakrishnan, S., Christianson, K., Horgan, H. J., Muto, A.,
Parizek, B. R., Pollard, D., and Walker, R. T.: Oceanic forcing of
Ice-Sheet retreat: West Antarctica and more, Annu. Rev. Earth Planet.
Sc., 43, 207–231, https://doi.org/10.1146/annurev-earth-060614-105344, 2015. a, b
Alvarez-Solas, J., Montoya, M.,
Ritz, C., Ramstein, G., Charbit, S., Dumas, C., Nisancioglu, K., Dokken, T., and Ganopolski, A.:
Millennial-scale oscillations in the Southern Ocean in response to atmospheric
CO2 increase, Global
Planet. Change, 76, 128–136, https://doi.org/10.1016/j.gloplacha.2010.12.004, 2011. a
Álvarez-Solas, J., Montoya, M., Ritz, C., Ramstein, G., Charbit, S.,
Dumas, C., Nisancioglu, K., Dokken, T., and Ganopolski, A.: Heinrich event 1:
an example of dynamical ice-sheet reaction to oceanic changes, Clim. Past, 7,
1297–1306, https://doi.org/10.5194/cp-7-1297-2011, 2011. a
Alvarez-Solas, J., Robinson, A., Montoya, M., and Ritz, C.: Iceberg
discharges
of the last glacial period driven by oceanic circulation changes, P. Natl. Acad. Sci. USA, 110,
41, 16350–16354, https://doi.org/10.1073/pnas.1306622110, 2013. a
Annan, J. D. and Hargreaves, J. C.: A new global reconstruction of
temperature changes at the Last Glacial Maximum, Clim. Past, 9, 367–376,
https://doi.org/10.5194/cp-9-367-2013, 2013. a
Bamber, J. L., Griggs, J. A., Hurkmans, R. T. W. L., Dowdeswell, J. A.,
Gogineni, S. P., Howat, I., Mouginot, J., Paden, J., Palmer, S., Rignot, E.,
and Steinhage, D.: A new bed elevation dataset for Greenland, The Cryosphere,
7, 499–510, https://doi.org/10.5194/tc-7-499-2013, 2013. a, b, c, d, e, f, g
Banderas, R., Alvarez-Solas, J., Robinson, A., and Montoya, M.: A new
approach for simulating the paleo evolution of the Northern Hemisphere ice
sheets, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-158, in
review, 2017. a
Barker, S., Knorr, G., Edwards, R. L., Parrenin, F., Putnam, A. E., Skinner,
L. C., Wolff, E., and Ziegler, M.: 800,000 years of abrupt climate
variability, Science, 334, 347–351, https://doi.org/10.1126/science.1203580, 2011. a, b
Beckmann, A. and Goosse, H.: A parameterization of ice shelf-ocean
interaction
for climate models, Ocean Model., 5, 157–170,
https://doi.org/10.1016/S1463-5003(02)00019-7, 2003. a, b
Bindschadler, R. A., Nowicki, S., Abe-Ouchi, A., Aschwanden, A., Choi, H.,
Fastook, J., Granzow, G., Greve, R., Gutowski, G., Herzfeld, U., Jackson, C.,
Johnson, J., Khroulev, C., Levermann, A., Lipscomb, W. H., Martin, M. A.,
Morlighem, M., Parizek, B. R., Pollard, D., Price, S. F., Ren, D., Saito, F.,
Sato, T., Seddik, H., Seroussi, H., Takahashi, K., Walker, R., and Wang,
W. L.: Ice sheet model sensitivity to environmental forcing and their use in
projecting future sea level, J. Glaciol., 59, 195–224,
https://doi.org/10.3189/2013JoG12J125, 2013. a
Born, A. and Nisancioglu, K. H.: Melting of Northern Greenland during the
last interglaciation, The Cryosphere, 6, 1239–1250,
https://doi.org/10.5194/tc-6-1239-2012, 2012. a
Box, J. E., Yang, L., Bromwich, D. H., and Bai, L.-S.: Greenland ice sheet
surface air temperature variability: 1840–2007, J. Climate, 22,
4029–4049, https://doi.org/10.1175/2009JCLI2816.1, 2009. a
Bradley, S. L., Reerink, T. J., van de Wal, R. S. W., and Helsen, M. M.:
Simulation of the Greenland Ice sheet over two glacial cycles: Investigating
a sub-ice shelf melt parameterisation and relative sea level forcing in an
ice sheet-ice shelf model, Clim. Past Discuss.,
https://doi.org/10.5194/cp-2017-132, in review, 2017. a, b, c, d, e, f
Bueler, E. and Brown, J.: Shallow shelf approximation as a sliding law in a
thermomechanically coupled ice sheet model, J. Geophys. Res., 114, F03008,
https://doi.org/10.1029/2008JF001179, 2009. a
Buizert, C., Keisling, B. A., Box, J. E., He, F., Carlson, A. E., Sinclair,
G.,
and DeConto, R. M.: Greenland-wide seasonal temperatures during the last
deglaciation, Geophys. Res. Lett., 45, 1905–1914, https://doi.org/10.1002/2017GL075601,
2018. a, b
Calov, R., Robinson, A., Perrette, M., and Ganopolski, A.: Simulating the
Greenland ice sheet under present-day and palaeo constraints including a new
discharge parameterization, The Cryosphere, 9, 179–196,
https://doi.org/10.5194/tc-9-179-2015, 2015. a, b, c
Clark, P. U. and Mix, A. C.: Ice sheets and sea level of the Last Glacial
Maximum, Quaternary Sci. Rev., 21, 1–7, 2002. a
Clark, P. U., Church, J. A., Gregory, J. M., and Payne, A. J.: Recent
progress
in understanding and projecting regional and global mean sea level change,
Current Climate Change Reports, 1, 224–246, 2015. a
Colleoni, F., Masina, S., Cherchi, A., Navarra, A., Ritz, C., Peyaud, V., and
Otto-Bliesner, B.: Modeling Northern Hemisphere ice-sheet distribution during
MIS 5 and MIS 7 glacial inceptions, Clim. Past, 10, 269–291,
https://doi.org/10.5194/cp-10-269-2014, 2014. a
Cook, A. J., Holland, P. R., Meredith, M. P., Murray, T., Luckman, A., and
Vaughan, D. G.: Ocean forcing of glacier retreat in the western Antarctic
Peninsula, Science, 353, 283–286, https://doi.org/10.1126/science.aae0017,
2016. a
DeConto, R. M. and Pollard, D.: Contribution of Antarctica to past and
future
sea-level rise, Nature, 531, 591–597, https://doi.org/10.1038/nature17145, 2016. a, b
Dutrieux, P., Vaughan, D. G., Corr, H. F. J., Jenkins, A., Holland, P. R.,
Joughin, I., and Fleming, A. H.: Pine Island glacier ice shelf melt
distributed at kilometre scales, The Cryosphere, 7, 1543–1555,
https://doi.org/10.5194/tc-7-1543-2013, 2013. a, b
Enderlin, E. M. and Howat, I. M.: Submarine melt rate estimates for floating
termini of Greenland outlet glaciers (2000–2010), J. Glaciol.,
59, 67–75, https://doi.org/10.3189/2013JoG12J049, 2013. a
Favier, L., Durand, G., Cornford, S. L., Gudmundsson, G. H., Gagliardini, O.,
Gillet-Chaulet, F., Zwinger, T., Payne, A., and Le Brocq, A. M.: Retreat of
Pine Island Glacier controlled by marine ice-sheet instability, Nature
Climate Change, 4, 117–121, https://doi.org/10.1038/NCLIMATE2094, 2014. a
Favier, L., Pattyn, F., Berger, S., and Drews, R.: Dynamic influence of
pinning points on marine ice-sheet stability: a numerical study in Dronning
Maud Land, East Antarctica, The Cryosphere, 10, 2623–2635,
https://doi.org/10.5194/tc-10-2623-2016, 2016. a
Fettweis, X., Franco, B., Tedesco, M., van Angelen, J. H., Lenaerts, J. T.
M., van den Broeke, M. R., and Gallée, H.: Estimating the Greenland ice
sheet surface mass balance contribution to future sea level rise using the
regional atmospheric climate model MAR, The Cryosphere, 7, 469–489,
https://doi.org/10.5194/tc-7-469-2013, 2013. a
Fleming, K. and Lambeck, K.: Constraints on the Greenland Ice Sheet since
the
Last Glacial Maximum from sea-level observations and glacial-rebound
models, Quaternary Sci. Rev., 23, 1053–1077,
https://doi.org/10.1016/j.quascirev.2003.11.001, 2004. a
Fried, M., Catania, G., Bartholomaus, T., Duncan, D., Davis, M., Stearns, L.,
Nash, J., Shroyer, E., and Sutherland, D.: Distributed subglacial discharge
drives significant submarine melt at a Greenland tidewater glacier,
Geophys. Res. Lett., 42, 9328–9336, https://doi.org/10.1002/2015GL065806, 2015. a
Fürst, J. J., Goelzer, H., and Huybrechts, P.: Effect of higher-order
stress gradients on the centennial mass evolution of the Greenland ice sheet,
The Cryosphere, 7, 183–199, https://doi.org/10.5194/tc-7-183-2013, 2013. a
Fürst, J. J., Goelzer, H., and Huybrechts, P.: Ice-dynamic projections of
the Greenland ice sheet in response to atmospheric and oceanic warming, The
Cryosphere, 9, 1039–1062, https://doi.org/10.5194/tc-9-1039-2015, 2015. a, b
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, b
Golledge, N. R., Fogwill, C. J., Mackintosh, A. N., and Buckley, K. M.:
Dynamics of the last glacial maximum Antarctic ice-sheet and its response to
ocean forcing, P. Natl. Acad. Sci. USA, 109, 16052–16056,
https://doi.org/10.1073/pnas.1205385109, 2012. a
Grant, K., Rohling, E., Ramsey, C. B.,
Cheng, H., Edwards, R., Florindo, F., Heslop, D., Marra, F., Roberts, A., Tamisiea, M. E., and
Williams, F.: Sea-level
variability over five glacial cycles, Nat. Commun., 5, 5076,
https://doi.org/10.1038/ncomms6076, 2014. a
Greve, R. and Blatter, H.: Dynamics of ice sheets and glaciers, Springer
Science & Business Media, 2009. a
Hall, D. K., Williams, R. S., Luthcke, S. B., and Digirolamo, N. E.:
Greenland
ice sheet surface temperature, melt and mass loss: 2000–06, J.
Glaciol., 54, 81–93, 2008. a
Hanna, E., Navarro, F. J., Pattyn, F., Domingues, C. M., Fettweis, X., Ivins,
E. R., Nicholls, R. J., Ritz, C., Smith, B., Tulaczyk, S., Whitehouse, P. L.,
and Zwally, H. J.: Ice-sheet mass balance and climate change, Nature, 498,
51–59, https://doi.org/10.1038/nature12238, 2013. a
Helsen, M. M., van de Berg, W. J., van de Wal, R. S. W., van den Broeke, M.
R., and Oerlemans, J.: Coupled regional climate-ice-sheet simulation shows
limited Greenland ice loss during the Eemian, Clim. Past, 9, 1773–1788,
https://doi.org/10.5194/cp-9-1773-2013, 2013. a, b
Hogg, A. E. and Gudmundsson, G. H.: Impacts of the Larsen-C Ice Shelf
calving
event, Nat. Clim. Change, 7, 540–542, https://doi.org/10.1038/nclimate3359,
2017. a
Holland, D. M., Thomas, R. H., De Young, B., Ribergaard, M. H., and Lyberth,
B.: Acceleration of Jakobshavn Isbræ triggered by warm subsurface ocean
waters, Nat. Geosci., 1, 659–664, https://doi.org/10.1038/ngeo316, 2008a. a, b
Holland, P. R., Jenkins, A., and Holland, D. M.: The response of ice shelf
basal melting to variations in ocean temperature, J. Climate, 21, 2558–2572,
https://doi.org/10.1175/2007JCLI1909.1, 2008b. a
Holland, P. R., Brisbourne, A., Corr, H. F. J., McGrath, D., Purdon, K.,
Paden, J., Fricker, H. A., Paolo, F. S., and Fleming, A. H.: Oceanic and
atmospheric forcing of Larsen C Ice-Shelf thinning, The Cryosphere, 9,
1005–1024, https://doi.org/10.5194/tc-9-1005-2015, 2015. a
Howat, I. M., Joughin, I., Tulaczyk, S., and Gogineni, S.: Rapid retreat and
acceleration of Helheim Glacier, east Greenland, Geophys. Res. Lett., 32,
L22502, https://doi.org/10.1029/2005GL024737, 2005. a
Howat, I. M., Joughin, I., and Scambos, T. A.: Rapid changes in ice discharge
from Greenland outlet glaciers, Science, 315, 1559–1561,
https://doi.org/10.1126/science.1138478, 2007. a
Huybrechts, P.: Sea-level changes at the LGM from ice-dynamic
reconstructions
of the Greenland and Antarctic ice sheets during the glacial cycles,
Quaternary Sci. Rev., 21, 203–231, https://doi.org/10.1016/S0277-3791(01)00082-8, 2002. a, b, c, d
IPCC: Sea Level Change, Climate Change 2013: The Physical
Science Basis. Contribution of Working Group I to the Fifth Assessment Report
of the Intergovernmental Panel on Climate Change, Cambridge, UK and New York, NY, USA, 2013. a
Jansen, D., Luckman, A. J., Cook, A., Bevan, S., Kulessa, B., Hubbard, B.,
and Holland, P. R.: Brief Communication: Newly developing rift in Larsen C
Ice Shelf presents significant risk to stability, The Cryosphere, 9,
1223–1227, https://doi.org/10.5194/tc-9-1223-2015, 2015. a
Jenkins, A.: Convection-driven melting near the grounding line of ice shelves
and tidewater glaciers, J. Phys. Oceanogr., 41, 2279–2294,
https://doi.org/10.1175/JPO-D-11-03.1, 2011. a
Joughin, I., Smith, B. E., Howat, I. M., Floricioiu, D., Alley, R. B.,
Truffer,
M., and Fahnestock, M.: Seasonal to decadal scale variations in the surface
velocity of Jakobshavn Isbræ, Greenland: Observation and model-based
analysis, J. Geophys. Res., 117, F02030, https://doi.org/10.1029/2011JF002110, 2012. a
Joughin, I., Smith, B. E., and Medley, B.: Marine ice sheet collapse
potentially under way for the Thwaites Glacier Basin, West Antarctica,
Science, 344, 735–738, https://doi.org/10.1126/science.1249055, 2014a. a
Joughin, I., Smith, B. E., and Medley, B.: Marine ice sheet collapse
potentially under way for the Thwaites Glacier Basin, West Antarctica,
Science, 344, 735–738, https://doi.org/10.1126/science.1249055,
2014b. a
Kindler, P., Guillevic, M., Baumgartner, M., Schwander, J., Landais, A., and
Leuenberger, M.: Temperature reconstruction from 10 to 120 kyr b2k from the
NGRIP ice core, Clim. Past, 10, 887–902,
https://doi.org/10.5194/cp-10-887-2014, 2014. a, b
Langebroek, P. M. and Nisancioglu, K. H.: Moderate Greenland ice sheet melt
during the last interglacial constrained by present-day observations and
paleo ice core reconstructions, The Cryosphere Discuss.,
https://doi.org/10.5194/tc-2016-15, in review, 2016. a, b, c
Lecavalier, B. S., Milne, G. A., Simpson, M. J., Wake, L., Huybrechts, P.,
Tarasov, L., Kjeldsen, K. K., Funder, S., Long, A. J., Woodroffe, S., Dykei,
A. S., and Larsen, N. K.: A model of Greenland ice sheet deglaciation
constrained by observations of relative sea level and ice extent,
Quaternary
Science Rev., 102, 54–84, https://doi.org/10.1016/j.quascirev.2014.07.018, 2014. a, b, c, d, e, f, g, h, i
Lecavalier, B. S., Fisher, D. A., Milne, G. A., Vinther, B. M., Tarasov, L.,
Huybrechts, P., Lacelle, D., Main, B., Zheng, J., Bourgeois, J., and Dyke,
A. S.: High Arctic Holocene temperature record from the Agassiz ice cap
and Greenland ice sheet evolution, P. Natl. Acad. Sci. USA, 1, 1–6,
https://doi.org/10.1073/pnas.1616287114, 2017. a
Le Meur, E. and Huybrechts, P.: A comparison of different ways of dealing
with
isostasy: examples from modeling the Antarctic ice sheet during the last
glacial cycle, Ann. Glaciol., 23, 309–317, 1996. a
MARGO Project Members: Constraints on the magnitude and patterns of ocean
cooling at the
Last Glacial Maximum, Nat. Geosci., 2, 127–132, https://doi.org/10.1038/ngeo411,
2009. a
Montoya, M. and Levermann, A.: Surface wind-stress threshold for glacial
Atlantic overturning, Geophys. Res. Lett., 35, L03608,
https://doi.org/10.1029/2007GL032560, 2008. a, b
Morlighem, M., Bondzio, J., Seroussi, H., Rignot, E., Larour, E., Humbert,
A.,
and Rebuffi, S.: Modeling of Store Gletscher's calving dynamics, West
Greenland, in response to ocean thermal forcing, Geophys. Res. Lett., 43, 2659–2666,
https://doi.org/10.1002/2016GL067695, 2016. a
Motyka, R. J., Truffer, M., Fahnestock, M., Mortensen, J., Rysgaard, S., and
Howat, I.: Submarine melting of the 1985 Jakobshavn Isbræ floating tongue
and the triggering of the current retreat, J. Geophys. Res., 116, F01007,
https://doi.org/10.1029/2009JF001632, 2011. a, b
Münchow, A., Padman, L., and Fricker, H. A.: Interannual changes of the
floating ice shelf of Petermann Gletscher, North Greenland, from 2000 to
2012, J. Glaciol., 60, 489–499, https://doi.org/10.3189/2014JoG13J135, 2014. a
NEEM: Eemian interglacial reconstructed from a Greenland folded ice core,
Nature, 493, 489–494, https://doi.org/10.1038/nature11789, 2013. a, b
Nick, F. M., Vieli, A., Howat, I. M., and Joughin, I.: Large-scale changes in
Greenland outlet glacier dynamics triggered at the terminus, Nat. Geosci.,
2, 110–114, https://doi.org/10.1038/ngeo394, 2009. a
Nowicki, S., Bindschadler, R. A., Abe-Ouchi, A., Aschwanden, A., Bueler, E.,
Choi, H., Fastook, J., Granzow, G., Greve, R., and Gutowski, G.: Large-scale
changes in Greenland outlet glacier dynamics triggered at the terminus, J.
Geophys. Res.-Earth, 118, 1025–1044, https://doi.org/10.1002/jgrf.20076,
2013. a
Pattyn, F.: Sea-level response to melting of Antarctic ice shelves on
multi-centennial timescales with the fast Elementary Thermomechanical Ice
Sheet model (f.ETISh v1.0), The Cryosphere, 11, 1851–1878,
https://doi.org/10.5194/tc-11-1851-2017, 2017. a
Peyaud, V., Ritz, C., and Krinner, G.: Modelling the Early Weichselian
Eurasian Ice Sheets: role of ice shelves and influence of ice-dammed lakes,
Clim. Past, 3, 375–386, https://doi.org/10.5194/cp-3-375-2007, 2007. a
Philippon, G., Ramstein, G., Charbit, S., Kageyama, M., Ritz, C., and Dumas,
C.: Evolution of the Antarctic ice sheet throughout the last deglaciation:
A study with a new coupled climate – north and south hemisphere ice sheet
model, Earth Planet. Sc. Lett, 248, 750–758,
https://doi.org/10.1016/j.epsl.2006.06.017, 2006. a
Pollard, D. and DeConto, R. M.: 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, 2012. a
Pritchard, H. D., Ligtenberg, S. R. M., Fricker, H. A., Vaughan, D. G.,
Van den
Broeke, M. R., and Padman, L.: Antarctic ice-sheet loss driven by basal
melting of ice shelves, Nature, 484, 502–505, https://doi.org/10.1038/nature10968,
2012. a
Quiquet, A., Punge, H. J., Ritz, C., Fettweis, X., Gallée, H., Kageyama,
M., Krinner, G., Salas y Mélia, D., and Sjolte, J.: Sensitivity of a
Greenland ice sheet model to atmospheric forcing fields, The Cryosphere, 6,
999–1018, https://doi.org/10.5194/tc-6-999-2012, 2012. a, b
Quiquet, A., Ritz, C., Punge, H. J., and Salas y Mélia, D.: Greenland ice
sheet contribution to sea level rise during the last interglacial period: a
modelling study driven and constrained by ice core data, Clim. Past, 9,
353–366, https://doi.org/10.5194/cp-9-353-2013, 2013. a, b
Reeh, N.: Parameterization of melt rate and surface temperature on the
Greenland ice sheet, Polarforschung, 59, 113–128, 1989. a
Reese, R., Albrecht, T., Mengel, M., Asay-Davis, X., and Winkelmann, R.:
Antarctic sub-shelf melt rates via PICO, The Cryosphere Discuss.,
https://doi.org/10.5194/tc-2017-70, in review, 2017. a
Rignot, E. and Jacobs, S. S.: Rapid bottom melting widespread near Antarctic
Ice Sheet grounding lines, Science, 296, 2020–2023,
https://doi.org/10.1126/science.1070942, 2002. a, b, c, d
Rignot, E. and Kanagaratnam, P.: Changes in the velocity structure of the
Greenland Ice Sheet, Science, 311, 986–990,
https://doi.org/10.1126/science.1121381, 2006. a
Rignot, E. and Steffen, K.: Channelized bottom melting and stability of
floating ice shelves, Geophys. Res. Lett., 35, L02503,
https://doi.org/10.1029/2007GL031765, 2008. a
Rignot, E., Casassa, G., Gogineni, P., Krabill, W., Rivera, A. U., and
Thomas,
R.: Accelerated ice discharge from the Antarctic Peninsula following the
collapse of Larsen B ice shelf, Geophys. Res. Lett., 31, L18401,
https://doi.org/10.1029/2004GL020697, 2004. a
Rignot, E., Koppes, M., and Velicogna, I.: Rapid submarine melting of the
calving faces of West Greenland glaciers, Nat. Geosci., 3, 187–191,
https://doi.org/10.1038/ngeo765, 2010. a, b
Rignot, E., Velicogna, I., Van den Broeke, M. R., Monaghan, A., and Lenaerts,
J. T. M.: Acceleration of the contribution of the Greenland and Antarctic
ice sheets to sea level rise, Geophys. Res. Lett., 38, L05503,
https://doi.org/10.1029/2011GL046583, 2011. a
Rignot, E., Jacobs, S., Mouginot, J., and Scheuchl, B.: Ice-shelf melting
around Antarctica, Science, 341, 266–270,
https://doi.org/10.1126/science.1235798, 2013. a, b
Rignot, E., Mouginot, J., Morlighem, M., Seroussi, H., and Scheuchl, B.:
Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith,
and Kohler glaciers, West Antarctica, from 1992 to 2011, Geophys. Res.
Lett., 41, 10, 3502–3509, https://doi.org/10.1002/2014GL060140, 2014. a
Rignot, E., Xu, Y., Menemenlis, D., Mouginot, J., Scheuchl, B., Li, X.,
Morlighem, M., Seroussi, H., Broeke, M. v., Fenty, I., Cai, C., An, L., and
de Fleurian, B.: Modeling of ocean-induced ice melt rates of five west
Greenland glaciers over the past two decades, Geophys. Res. Lett., 43,
6374–6382, https://doi.org/10.1002/2016GL068784, 2016. a, b, c
Ritz, C., Rommelaere, V., and Dumas, C.: Modeling the evolution of Antarctic
Ice Sheet over the last 420,000 years. Implications for altitude changes in
the Vostok region, J. Geophys. Res., 106, 31943–31964,
https://doi.org/10.1029/2001JD900232, 2001. a, b
Robinson, A. and Goelzer, H.: The importance of insolation changes for paleo
ice sheet modeling, The Cryosphere, 8, 1419–1428,
https://doi.org/10.5194/tc-8-1419-2014, 2014. a, b
Robinson, A., Calov, R., and Ganopolski, A.: Greenland ice sheet model
parameters constrained using simulations of the Eemian Interglacial, Clim.
Past, 7, 381–396, https://doi.org/10.5194/cp-7-381-2011, 2011. a, b, c
Sasgen, I., van den Broeke, M., Bamber, J. L., Rignot, E., Sørensen,
L. S.,
Wouters, B., Martinec, Z., Velicogna, I., and Simonsen, S. B.: Timing and
origin of recent regional ice-mass loss in Greenland, Earth Planet. Sc.
Lett., 333–334, 293–303, https://doi.org/10.1016/j.epsl.2012.03.033, 2012. a
Sciascia, R., Straneo, F., Cenedese, C., and Heimbach, P.: Seasonal
variability
of submarine melt rate and circulation in an East Greenland fjord, J.
Geophys. Res.-Oceans, 118, 2492–2506, https://doi.org/10.1002/jgrc.20142, 2013. a
Shapiro, N. M. and Ritzwoller, M. H.: Inferring surface heat flux
distributions guided by a global seismic model: particular application to
Antarctica, Earth Planet. Sc. Lett., 223, 213–224,
https://doi.org/10.1016/j.epsl.2004.04.011, 2004. a
Shepherd, A., Wingham, D., and Rignot, E.: Warm ocean is eroding West
Antarctic
ice sheet, Geophys. Res. Lett., 31, L23402, https://doi.org/10.1029/2004GL021106,
2004. a
Shepherd, A., Ivins, E. R., Geruo, A., Barletta, V. R., Bentley, M. J.,
Bettadpur, S., Briggs, K. H., Bromwich, D. H., Forsberg, R., Galin, N.,
Horwath, M., Jacobs, S., Joughin, I., King, M. A., Lenaerts, J. T. M., Li,
J., Ligtenberg, S. R. M., Luckman, A., Luthcke, S. B., McMillan, M., Meister,
R., Milne, G., Mouginot, J., Muir, A., Nicolas, J. P., Paden, J., Payne,
A. J., Pritchard, H., Rignot, E., Rott, H., Sandberg Sorensen, L., Scambos,
T. A., Scheuchl, B., Schrama, E. J. O., Smith, B., Sundal, A. V., van
Angelen, J. H., van de Berg, W. J., van den Broeke, M. R., Vaughan, D. G.,
Velicogna, I., Wahr, J., Whitehouse, P. L., Wingham, D. J., Yi, D., Young,
D., and Zwally, H. J.: A reconciled estimate of ice sheet mass balance,
Science, 338, 1183–1189, https://doi.org/10.1126/science.1228102, 2012. a
Simpson, M. J. R., Milne, G. A., Huybrechts, P., and Long, A. J.: Calibrating
a
glaciological model of the Greenland ice sheet from the Last Glacial
Maximum to present-day using field observations of relative sea level and
ice extent, Quaternary Science Rev., 28, 1631–1657,
https://doi.org/10.1016/j.quascirev.2009.03.004, 2009. a, b, c, d, e
Stearns, L. A. and Hamilton, G. S.: Rapid volume loss from two East
Greenland
outlet glaciers quantified using repeat stereo satellite imagery, Geophys.
Res. Lett., 34, L05503, https://doi.org/10.1029/2006GL028982, 2007. a
Stone, E. J., Lunt, D. J., Rutt, I. C., and Hanna, E.: Investigating the
sensitivity of numerical model simulations of the modern state of the
Greenland ice-sheet and its future response to climate change, The
Cryosphere, 4, 397–417, https://doi.org/10.5194/tc-4-397-2010, 2010. a
Stone, E. J., Lunt, D. J., Annan, J. D., and Hargreaves, J. C.:
Quantification of the Greenland ice sheet contribution to Last Interglacial
sea level rise, Clim. Past, 9, 621–639,
https://doi.org/10.5194/cp-9-621-2013, 2013. a, b, c, d
Straneo, F. and Heimbach, P.: North Atlantic warming and the retreat of
Greenland's outlet glaciers, Nature, 504, 36–43,
https://doi.org/10.1038/nature12854, 2013. a
Straneo, F., Hamilton, G. S., Sutherland, D. A., Stearns, L. A., Davidson,
F.,
Hammill, M. O., Stenson, G. B., and Rosing-Asvid, A.: Rapid circulation of
warm subtropical waters in a major glacial fjord in East Greenland, Nat.
Geosci., 3, 182–186, https://doi.org/10.1038/ngeo764, 2010. a
Straneo, F., Sutherland, D. A., Holland, D., Gladish, C., Hamilton, G. S.,
Johnson, H. L., Rignot, E., Xu, Y., and Koppes, M.: Characteristics of ocean
waters reaching Greenland's glaciers, Ann. Glaciol., 53, 202–210,
https://doi.org/10.3189/2012AoG60A059, 2012. a
Straneo, F., Hamilton, G. S., Stearns, L. A., and Sutherland, D. A.:
Connecting
the Greenland Ice Sheet and the ocean: a case study of Helheim Glacier
and Sermilik Fjord, Oceanography, 29, 22–33,
https://doi.org/10.5670/oceanog.2016.97, 2016. a
Sutherland, D. A. and Straneo, F.: Estimating ocean heat transports and
submarine melt rates in Sermilik Fjord, Greenland, using lowered acoustic
Doppler current profiler (LADCP) velocity profiles, Ann. Glaciol.,
53, 50–58, https://doi.org/10.3189/2012AoG60A050, 2012. a
Tarasov, L. and Peltier, R. W.: Greenland glacial history and local
geodynamic
consequences, Geophys. J. Int., 150, 198–229, 2002. a
Tedesco, M., Doherty, S., Fettweis, X., Alexander, P., Jeyaratnam, J., and
Stroeve, J.: The darkening of the Greenland ice sheet: trends, drivers, and
projections (1981–2100), The Cryosphere, 10, 477–496,
https://doi.org/10.5194/tc-10-477-2016, 2016. a
van den Broeke, M. R., Enderlin, E. M., Howat, I. M., Kuipers Munneke, P.,
Noël, B. P. Y., van de Berg, W. J., van Meijgaard, E., and Wouters, B.:
On the recent contribution of the Greenland ice sheet to sea level change,
The Cryosphere, 10, 1933–1946, https://doi.org/10.5194/tc-10-1933-2016,
2016. a, b, c
Vieli, A. and Nick, F. M.: Understanding and modelling rapid dynamic changes
of
tidewater outlet glaciers: issues and implications, Surv. Geophys.,
32, 437–458, https://doi.org/10.1007/s10712-011-9132-4, 2011. a
Vinther, B. M., Buchardt, S. L., Clausen,
H. B., Dahl-Jensen, D., Johnsen, S. J., Fisher, D., Koerner, R., Raynaud, D., Lipenkov, V.,
Andersen, K., Blunier, T., Rasmussen, S. O., Steffensen, J. P., and Svensson, A. M.: Holocene thinning of the Greenland ice sheet, Nature, 461,
385–388, https://doi.org/10.1038/nature08355, 2009. a, b
Waelbroeck, C., Labeyrie, L., Michel, E., Duplessy, J. C., 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, 2002. a
Wouters, B., Martin-Español, A., Helm, V., Flament, T., van Wessem, J.,
Ligtenberg, S., van den Broeke, M., and Bamber, J.: Dynamic thinning of
glaciers on the Southern Antarctic Peninsula, Science, 348, 899–903,
https://doi.org/10.1126/science.aaa5727, 2015. a
Xu, Y., Rignot, E., Menemenlis, D., and Koppes, M.: Numerical experiments on
subaqueous melting of Greenland tidewater glaciers in response to ocean
warming and enhanced subglacial discharge, Ann. Glaciol., 53,
229–234, https://doi.org/10.3189/2012AoG60A139, 2012.
a
Xu, Y., Rignot, E., Fenty, I., Menemenlis, D., and Flexas, M.: Subaqueous
melting of Store Glacier, west Greenland from three-dimensional,
high-resolution numerical modeling and ocean observations, Geophys. Res.
Lett., 40, 4648–4653, https://doi.org/10.1002/grl.50825, 2013. a, b
Yau, A. M., Bender, M. L., Robinson, A., and Brook, E. J.: Reconstructing the
last interglacial at Summit, Greenland: Insights from GISP2, P. Natl. Acad. Sci. USA, 113,
9710–9715, https://doi.org/10.1073/pnas.1524766113, 2016. a
Yi, S., Sun, W., Heki, K., and Qian, A.: An increase in the rate of global
mean
sea level rise since 2010, Geophys. Res. Lett., 42, 3998–4006,
https://doi.org/10.1002/2015GL063902, 2015. a
Zwally, H. J., Jun, L. I., Brenner, A. C., Beckley, M., Cornejo, H. G.,
DiMarzio, J., Giovinetto, M. B., Neumann, T. A., Robbins, J., Saba, J. L.,
Yi, D., and Wang, W.: Greenland ice sheet mass balance: distribution of
increased mass loss with climate warming; 2003–07 versus 1992–2002, J.
Glaciol., 57, 88–102, https://doi.org/10.3189/002214311795306682, 2011. a
Short summary
The response of the Greenland Ice Sheet (GrIS) to palaeo-oceanic changes on a glacial–interglacial timescale is studied from a modelling perspective. A 3-D hybrid ice-sheet–shelf model which includes a parameterization of the basal melting rate at the GrIS marine margins is used. The results show that the oceanic forcing plays a key role in the GrIS evolution, not only by controlling the ice retreat during the deglaciation but also by driving the ice expansion in glacial periods.
The response of the Greenland Ice Sheet (GrIS) to palaeo-oceanic changes on a...