Articles | Volume 16, issue 6
Clim. Past, 16, 2183–2201, 2020
https://doi.org/10.5194/cp-16-2183-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Clim. Past, 16, 2183–2201, 2020
https://doi.org/10.5194/cp-16-2183-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 13 Nov 2020
Research article | 13 Nov 2020
Simulating Marine Isotope Stage 7 with a coupled climate–ice sheet model
Dipayan Choudhury et al.
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Kyung-Sook Yun, Axel Timmermann, and Malte F. Stuecker
Earth Syst. Dynam., 12, 121–132, https://doi.org/10.5194/esd-12-121-2021, https://doi.org/10.5194/esd-12-121-2021, 2021
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Changes in the Hadley and Walker cells cause major climate disruptions across our planet. What has been overlooked so far is the question of whether these two circulations can shift their positions in a synchronized manner. We here show the synchronized spatial shifts between Walker and Hadley cells and further highlight a novel aspect of how tropical sea surface temperature anomalies can couple these two circulations. The re-positioning has important implications for extratropical rainfall.
David Pollard and Robert M. DeConto
Geosci. Model Dev., 13, 6481–6500, https://doi.org/10.5194/gmd-13-6481-2020, https://doi.org/10.5194/gmd-13-6481-2020, 2020
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Buttressing by floating ice shelves at ice-sheet grounding lines is an
important process that affects ice retreat and whether structural failure
occurs in deep bathymetry. Here, we use a simple algorithm to better
represent 2-D grounding-line curvature in an ice-sheet model. Along with other
enhancements, this improves the performance in idealized-fjord intercomparisons
and enables better diagnosis of potential structural failure at future
retreating Antarctic grounding lines.
Stephen L. Cornford, Helene Seroussi, Xylar S. Asay-Davis, G. Hilmar Gudmundsson, Rob Arthern, Chris Borstad, Julia Christmann, Thiago Dias dos Santos, Johannes Feldmann, Daniel Goldberg, Matthew J. Hoffman, Angelika Humbert, Thomas Kleiner, Gunter Leguy, William H. Lipscomb, Nacho Merino, Gaël Durand, Mathieu Morlighem, David Pollard, Martin Rückamp, C. Rosie Williams, and Hongju Yu
The Cryosphere, 14, 2283–2301, https://doi.org/10.5194/tc-14-2283-2020, https://doi.org/10.5194/tc-14-2283-2020, 2020
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We present the results of the third Marine Ice Sheet Intercomparison Project (MISMIP+). MISMIP+ is one in a series of exercises that test numerical models of ice sheet flow in simple situations. This particular exercise concentrates on the response of ice sheet models to the thinning of their floating ice shelves, which is of interest because numerical models are currently used to model the response to contemporary and near-future thinning in Antarctic ice shelves.
Anders Levermann, Ricarda Winkelmann, Torsten Albrecht, Heiko Goelzer, Nicholas R. Golledge, Ralf Greve, Philippe Huybrechts, Jim Jordan, Gunter Leguy, Daniel Martin, Mathieu Morlighem, Frank Pattyn, David Pollard, Aurelien Quiquet, Christian Rodehacke, Helene Seroussi, Johannes Sutter, Tong Zhang, Jonas Van Breedam, Reinhard Calov, Robert DeConto, Christophe Dumas, Julius Garbe, G. Hilmar Gudmundsson, Matthew J. Hoffman, Angelika Humbert, Thomas Kleiner, William H. Lipscomb, Malte Meinshausen, Esmond Ng, Sophie M. J. Nowicki, Mauro Perego, Stephen F. Price, Fuyuki Saito, Nicole-Jeanne Schlegel, Sainan Sun, and Roderik S. W. van de Wal
Earth Syst. Dynam., 11, 35–76, https://doi.org/10.5194/esd-11-35-2020, https://doi.org/10.5194/esd-11-35-2020, 2020
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We provide an estimate of the future sea level contribution of Antarctica from basal ice shelf melting up to the year 2100. The full uncertainty range in the warming-related forcing of basal melt is estimated and applied to 16 state-of-the-art ice sheet models using a linear response theory approach. The sea level contribution we obtain is very likely below 61 cm under unmitigated climate change until 2100 (RCP8.5) and very likely below 40 cm if the Paris Climate Agreement is kept.
Michelle Tigchelaar, Axel Timmermann, Tobias Friedrich, Malte Heinemann, and David Pollard
The Cryosphere, 13, 2615–2631, https://doi.org/10.5194/tc-13-2615-2019, https://doi.org/10.5194/tc-13-2615-2019, 2019
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The Antarctic Ice Sheet has expanded and retracted often in the past, but, so far, studies have not identified which environmental driver is most important: air temperature, snowfall, ocean conditions or global sea level. In a modeling study of 400 000 years of Antarctic Ice Sheet variability we isolated different drivers and found that no single driver dominates. Air temperature and sea level are most important and combine in a synergistic way, with important implications for future change.
Hélène Seroussi, Sophie Nowicki, Erika Simon, Ayako Abe-Ouchi, Torsten Albrecht, Julien Brondex, Stephen Cornford, Christophe Dumas, Fabien Gillet-Chaulet, Heiko Goelzer, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Thomas Kleiner, Eric Larour, Gunter Leguy, William H. Lipscomb, Daniel Lowry, Matthias Mengel, Mathieu Morlighem, Frank Pattyn, Anthony J. Payne, David Pollard, Stephen F. Price, Aurélien Quiquet, Thomas J. Reerink, Ronja Reese, Christian B. Rodehacke, Nicole-Jeanne Schlegel, Andrew Shepherd, Sainan Sun, Johannes Sutter, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, and Tong Zhang
The Cryosphere, 13, 1441–1471, https://doi.org/10.5194/tc-13-1441-2019, https://doi.org/10.5194/tc-13-1441-2019, 2019
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We compare a wide range of Antarctic ice sheet simulations with varying initialization techniques and model parameters to understand the role they play on the projected evolution of this ice sheet under simple scenarios. Results are improved compared to previous assessments and show that continued improvements in the representation of the floating ice around Antarctica are critical to reduce the uncertainty in the future ice sheet contribution to sea level rise.
Malte Heinemann, Joachim Segschneider, and Birgit Schneider
Geosci. Model Dev., 12, 1869–1883, https://doi.org/10.5194/gmd-12-1869-2019, https://doi.org/10.5194/gmd-12-1869-2019, 2019
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Ocean CO2 uptake played a crucial role for the global cooling during ice ages. Dust formation, e.g. by ice scraping over bedrock, potentially contributed to this CO2 uptake because (1) the iron in the dust is a fertilizer and (2) the heavy dust particles can accelerate sinking organic matter (ballasting hypothesis). This study tests the glacial dust ballasting hypothesis for the first time, using an ocean model. It turns out, however, that the ballasting effect probably played a minor role.
David Pollard, Robert M. DeConto, and Richard B. Alley
Geosci. Model Dev., 11, 5149–5172, https://doi.org/10.5194/gmd-11-5149-2018, https://doi.org/10.5194/gmd-11-5149-2018, 2018
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Around the margins of ice sheets in contact with the ocean, calving of icebergs can generate large amounts of floating ice debris called "mélange". In major Greenland fjords, mélange significantly slows down ice flow from upstream. Our study applies numerical models to past and possible future episodes of rapid Antarctic Ice Sheet retreat. We find that, due to larger spatial scales, Antarctic mélange does not significantly impede flow or slow ice retreat and associated sea level rise.
M. Angeles Gallego, Axel Timmermann, Tobias Friedrich, and Richard E. Zeebe
Biogeosciences, 15, 5315–5327, https://doi.org/10.5194/bg-15-5315-2018, https://doi.org/10.5194/bg-15-5315-2018, 2018
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It is projected that the summer–winter difference in pCO2 levels will be larger in the future. In this paper, we study the causes of this seasonal amplification of pCO2. We found that anthropogenic CO2 enhances the effect of seasonal changes in temperature (T) and dissolved inorganic carbon (DIC) on pCO2 seasonality. This is because the oceanic pCO2 becomes more sensitive to seasonal T and DIC changes when the CO2 concentration is higher.
Perry Spector, John Stone, David Pollard, Trevor Hillebrand, Cameron Lewis, and Joel Gombiner
The Cryosphere, 12, 2741–2757, https://doi.org/10.5194/tc-12-2741-2018, https://doi.org/10.5194/tc-12-2741-2018, 2018
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Cosmogenic-nuclide analyses in bedrock recovered from below the West Antarctic Ice Sheet have the potential to establish whether and when large-scale deglaciation occurred in the past. Here we (i) discuss the criteria and considerations for subglacial drill sites, (ii) evaluate candidate sites in West Antarctica, and (iii) describe reconnaissance at three West Antarctic sites, focusing on the Pirrit Hills, which we present as a case study of site selection on the scale of an individual nunatak.
Clemens Schannwell, Stephen Cornford, David Pollard, and Nicholas E. Barrand
The Cryosphere, 12, 2307–2326, https://doi.org/10.5194/tc-12-2307-2018, https://doi.org/10.5194/tc-12-2307-2018, 2018
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Despite the speculation on the state and fate of Larsen C Ice Shelf, a key unknown factor remains: what would be the effects of ice-shelf collapse on upstream drainage basins and thus global sea levels? In our paper three state-of-the-art numerical ice-sheet models were used to simulate the volume evolution of the inland ice sheet to ice-shelf collapse at Larsen C and George VI ice shelves. Our results suggest sea-level rise of up to ~ 4 mm for Larsen C ice shelf and ~ 22 for George VI ice shelf.
David Pollard, Won Chang, Murali Haran, Patrick Applegate, and Robert DeConto
Geosci. Model Dev., 9, 1697–1723, https://doi.org/10.5194/gmd-9-1697-2016, https://doi.org/10.5194/gmd-9-1697-2016, 2016
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Computer modeling of variations of the Antarctic Ice Sheet help to
understand the ice sheet's sensitivity to climate change. We apply
a numerical model to its retreat over the last 20 000 years, from its
maximum glacial extent to modern. An ensemble of 625 simulations is performed
with systematic combinations of uncertain model parameter values. Results are
analyzed using (1) simple averaging, and (2) advanced statistical techniques,
and reasonable agreement is found between the two.
Matthew J. Carmichael, Daniel J. Lunt, Matthew Huber, Malte Heinemann, Jeffrey Kiehl, Allegra LeGrande, Claire A. Loptson, Chris D. Roberts, Navjit Sagoo, Christine Shields, Paul J. Valdes, Arne Winguth, Cornelia Winguth, and Richard D. Pancost
Clim. Past, 12, 455–481, https://doi.org/10.5194/cp-12-455-2016, https://doi.org/10.5194/cp-12-455-2016, 2016
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In this paper, we assess how well model-simulated precipitation rates compare to those indicated by geological data for the early Eocene, a warm interval 56–49 million years ago. Our results show that a number of models struggle to produce sufficient precipitation at high latitudes, which likely relates to cool simulated temperatures in these regions. However, calculating precipitation rates from plant fossils is highly uncertain, and further data are now required.
S. J. Koenig, A. M. Dolan, B. de Boer, E. J. Stone, D. J. Hill, R. M. DeConto, A. Abe-Ouchi, D. J. Lunt, D. Pollard, A. Quiquet, F. Saito, J. Savage, and R. van de Wal
Clim. Past, 11, 369–381, https://doi.org/10.5194/cp-11-369-2015, https://doi.org/10.5194/cp-11-369-2015, 2015
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The paper assess the Greenland Ice Sheet’s sensitivity to a warm period in the past, a time when atmospheric CO2 concentrations were comparable to current levels. We quantify ice sheet volume and locations in Greenland and find that the ice sheets are less sensitive to differences in ice sheet model configurations than to changes in imposed climate forcing. We conclude that Pliocene ice was most likely to be limited to highest elevations in eastern and southern Greenland.
M. Heinemann, A. Timmermann, O. Elison Timm, F. Saito, and A. Abe-Ouchi
Clim. Past, 10, 1567–1579, https://doi.org/10.5194/cp-10-1567-2014, https://doi.org/10.5194/cp-10-1567-2014, 2014
A. Levermann, R. Winkelmann, S. Nowicki, J. L. Fastook, K. Frieler, R. Greve, H. H. Hellmer, M. A. Martin, M. Meinshausen, M. Mengel, A. J. Payne, D. Pollard, T. Sato, R. Timmermann, W. L. Wang, and R. A. Bindschadler
Earth Syst. Dynam., 5, 271–293, https://doi.org/10.5194/esd-5-271-2014, https://doi.org/10.5194/esd-5-271-2014, 2014
E. Gasson, D. J. Lunt, R. DeConto, A. Goldner, M. Heinemann, M. Huber, A. N. LeGrande, D. Pollard, N. Sagoo, M. Siddall, A. Winguth, and P. J. Valdes
Clim. Past, 10, 451–466, https://doi.org/10.5194/cp-10-451-2014, https://doi.org/10.5194/cp-10-451-2014, 2014
G. A. Schmidt, J. D. Annan, P. J. Bartlein, B. I. Cook, E. Guilyardi, J. C. Hargreaves, S. P. Harrison, M. Kageyama, A. N. LeGrande, B. Konecky, S. Lovejoy, M. E. Mann, V. Masson-Delmotte, C. Risi, D. Thompson, A. Timmermann, L.-B. Tremblay, and P. Yiou
Clim. Past, 10, 221–250, https://doi.org/10.5194/cp-10-221-2014, https://doi.org/10.5194/cp-10-221-2014, 2014
L. Menviel, A. Timmermann, T. Friedrich, and M. H. England
Clim. Past, 10, 63–77, https://doi.org/10.5194/cp-10-63-2014, https://doi.org/10.5194/cp-10-63-2014, 2014
C. R. Tabor, C. J. Poulsen, and D. Pollard
Clim. Past, 10, 41–50, https://doi.org/10.5194/cp-10-41-2014, https://doi.org/10.5194/cp-10-41-2014, 2014
R. Briggs, D. Pollard, and L. Tarasov
The Cryosphere, 7, 1949–1970, https://doi.org/10.5194/tc-7-1949-2013, https://doi.org/10.5194/tc-7-1949-2013, 2013
S. McGregor, A. Timmermann, M. H. England, O. Elison Timm, and A. T. Wittenberg
Clim. Past, 9, 2269–2284, https://doi.org/10.5194/cp-9-2269-2013, https://doi.org/10.5194/cp-9-2269-2013, 2013
K. Tachikawa, A. Timmermann, L. Vidal, C. Sonzogni, and O. E. Timm
Clim. Past Discuss., https://doi.org/10.5194/cpd-9-1869-2013, https://doi.org/10.5194/cpd-9-1869-2013, 2013
Revised manuscript has not been submitted
F. Joos, R. Roth, J. S. Fuglestvedt, G. P. Peters, I. G. Enting, W. von Bloh, V. Brovkin, E. J. Burke, M. Eby, N. R. Edwards, T. Friedrich, T. L. Frölicher, P. R. Halloran, P. B. Holden, C. Jones, T. Kleinen, F. T. Mackenzie, K. Matsumoto, M. Meinshausen, G.-K. Plattner, A. Reisinger, J. Segschneider, G. Shaffer, M. Steinacher, K. Strassmann, K. Tanaka, A. Timmermann, and A. J. Weaver
Atmos. Chem. Phys., 13, 2793–2825, https://doi.org/10.5194/acp-13-2793-2013, https://doi.org/10.5194/acp-13-2793-2013, 2013
Y. Goddéris, S. L. Brantley, L. M. François, J. Schott, D. Pollard, M. Déqué, and M. Dury
Biogeosciences, 10, 135–148, https://doi.org/10.5194/bg-10-135-2013, https://doi.org/10.5194/bg-10-135-2013, 2013
Related subject area
Subject: Climate Modelling | Archive: Modelling only | Timescale: Pleistocene
Simulated stability of the Atlantic Meridional Overturning Circulation during the Last Glacial Maximum
Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4)
Evaluation of Arctic warming in mid-Pliocene climate simulations
The role of land cover on the climate of glacial Europe
Comparison of past and future simulations of ENSO in CMIP5/PMIP3 and CMIP6/PMIP4 models
An empirical evaluation of bias correction methods for palaeoclimate simulations
Hypersensitivity of glacial summer temperatures in Siberia
Distorted Pacific–North American teleconnection at the Last Glacial Maximum
Understanding the Australian Monsoon change during the Last Glacial Maximum with a multi-model ensemble
Effect of high dust amount on surface temperature during the Last Glacial Maximum: a modelling study using MIROC-ESM
The role of regional feedbacks in glacial inception on Baffin Island: the interaction of ice flow and meteorology
Quantifying the influence of the terrestrial biosphere on glacial–interglacial climate dynamics
Intra-interglacial climate variability: model simulations of Marine Isotope Stages 1, 5, 11, 13, and 15
A GCM comparison of Pleistocene super-interglacial periods in relation to Lake El'gygytgyn, NE Arctic Russia
Global sensitivity analysis of the Indian monsoon during the Pleistocene
Interaction of ice sheets and climate during the past 800 000 years
Simulating last interglacial climate with NorESM: role of insolation and greenhouse gases in the timing of peak warmth
Impact of geomagnetic excursions on atmospheric chemistry and dynamics
Assessing the impact of Laurentide Ice Sheet topography on glacial climate
Interdependence of the growth of the Northern Hemisphere ice sheets during the last glaciation: the role of atmospheric circulation
Different ocean states and transient characteristics in Last Glacial Maximum simulations and implications for deglaciation
Why could ice ages be unpredictable?
Assessing the impact of late Pleistocene megafaunal extinctions on global vegetation and climate
The last interglacial (Eemian) climate simulated by LOVECLIM and CCSM3
LGM permafrost distribution: how well can the latest PMIP multi-model ensembles perform reconstruction?
Tropical vegetation response to Heinrich Event 1 as simulated with the UVic ESCM and CCSM3
Influence of Last Glacial Maximum boundary conditions on the global water isotope distribution in an atmospheric general circulation model
A new global reconstruction of temperature changes at the Last Glacial Maximum
Modelling snow accumulation on Greenland in Eemian, glacial inception, and modern climates in a GCM
Modelling large-scale ice-sheet–climate interactions following glacial inception
Sensitivity of the North Atlantic climate to Greenland Ice Sheet melting during the Last Interglacial
The impact of different glacial boundary conditions on atmospheric dynamics and precipitation in the North Atlantic region
Present and LGM permafrost from climate simulations: contribution of statistical downscaling
The key role of topography in altering North Atlantic atmospheric circulation during the last glacial period
Uncertainties in modelling CH4 emissions from northern wetlands in glacial climates: the role of vegetation parameters
Modeling Mediterranean Ocean climate of the Last Glacial Maximum
A comparison of climate simulations for the last glacial maximum with three different versions of the ECHAM model and implications for summer-green tree refugia
Changes in atmospheric variability in a glacial climate and the impacts on proxy data: a model intercomparison
Frerk Pöppelmeier, Jeemijn Scheen, Aurich Jeltsch-Thömmes, and Thomas F. Stocker
Clim. Past, 17, 615–632, https://doi.org/10.5194/cp-17-615-2021, https://doi.org/10.5194/cp-17-615-2021, 2021
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The stability of the Atlantic Meridional Overturning Circulation (AMOC) critically depends on its mean state. We simulate the response of the AMOC to North Atlantic freshwater perturbations under different glacial boundary conditions. We find that a closed Bering Strait greatly increases the AMOC's sensitivity to freshwater hosing. Further, the shift from mono- to bistability strongly depends on the chosen boundary conditions, with weaker circulation states exhibiting more abrupt transitions.
Bette L. Otto-Bliesner, Esther C. Brady, Anni Zhao, Chris M. Brierley, Yarrow Axford, Emilie Capron, Aline Govin, Jeremy S. Hoffman, Elizabeth Isaacs, Masa Kageyama, Paolo Scussolini, Polychronis C. Tzedakis, Charles J. R. Williams, Eric Wolff, Ayako Abe-Ouchi, Pascale Braconnot, Silvana Ramos Buarque, Jian Cao, Anne de Vernal, Maria Vittoria Guarino, Chuncheng Guo, Allegra N. LeGrande, Gerrit Lohmann, Katrin J. Meissner, Laurie Menviel, Polina A. Morozova, Kerim H. Nisancioglu, Ryouta O'ishi, David Salas y Mélia, Xiaoxu Shi, Marie Sicard, Louise Sime, Christian Stepanek, Robert Tomas, Evgeny Volodin, Nicholas K. H. Yeung, Qiong Zhang, Zhongshi Zhang, and Weipeng Zheng
Clim. Past, 17, 63–94, https://doi.org/10.5194/cp-17-63-2021, https://doi.org/10.5194/cp-17-63-2021, 2021
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The CMIP6–PMIP4 Tier 1 lig127k experiment was designed to address the climate responses to strong orbital forcing. We present a multi-model ensemble of 17 climate models, most of which have also completed the CMIP6 DECK experiments and are thus important for assessing future projections. The lig127ksimulations show strong summer warming over the NH continents. More than half of the models simulate a retreat of the Arctic minimum summer ice edge similar to the average for 2000–2018.
Wesley de Nooijer, Qiong Zhang, Qiang Li, Qiang Zhang, Xiangyu Li, Zhongshi Zhang, Chuncheng Guo, Kerim H. Nisancioglu, Alan M. Haywood, Julia C. Tindall, Stephen J. Hunter, Harry J. Dowsett, Christian Stepanek, Gerrit Lohmann, Bette L. Otto-Bliesner, Ran Feng, Linda E. Sohl, Mark A. Chandler, Ning Tan, Camille Contoux, Gilles Ramstein, Michiel L. J. Baatsen, Anna S. von der Heydt, Deepak Chandan, W. Richard Peltier, Ayako Abe-Ouchi, Wing-Le Chan, Youichi Kamae, and Chris M. Brierley
Clim. Past, 16, 2325–2341, https://doi.org/10.5194/cp-16-2325-2020, https://doi.org/10.5194/cp-16-2325-2020, 2020
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The simulations for the past climate can inform us about the performance of climate models in different climate scenarios. Here, we analyse Arctic warming in an ensemble of 16 simulations of the mid-Pliocene Warm Period (mPWP), when the CO2 level was comparable to today. The results highlight the importance of slow feedbacks in the model simulations and imply that we must be careful when using simulations of the mPWP as an analogue for future climate change.
Patricio Velasquez, Jed O. Kaplan, Martina Messmer, Patrick Ludwig, and Christoph C. Raible
Clim. Past Discuss., https://doi.org/10.5194/cp-2020-147, https://doi.org/10.5194/cp-2020-147, 2020
Revised manuscript accepted for CP
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This study assesses the importance of resolution and land-atmosphere feedbacks on European climate. We performed an asynchronously coupled experiment that combined a global climate model (~100 km), a regional climate model (18 km), and a dynamic vegetation model (18 km). Modelled climate and land cover agree reasonably well with independent reconstructions based on pollen and other paleoenvironmental proxies. The regional climate is significantly influenced by land cover.
Josephine R. Brown, Chris M. Brierley, Soon-Il An, Maria-Vittoria Guarino, Samantha Stevenson, Charles J. R. Williams, Qiong Zhang, Anni Zhao, Ayako Abe-Ouchi, Pascale Braconnot, Esther C. Brady, Deepak Chandan, Roberta D'Agostino, Chuncheng Guo, Allegra N. LeGrande, Gerrit Lohmann, Polina A. Morozova, Rumi Ohgaito, Ryouta O'ishi, Bette L. Otto-Bliesner, W. Richard Peltier, Xiaoxu Shi, Louise Sime, Evgeny M. Volodin, Zhongshi Zhang, and Weipeng Zheng
Clim. Past, 16, 1777–1805, https://doi.org/10.5194/cp-16-1777-2020, https://doi.org/10.5194/cp-16-1777-2020, 2020
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El Niño–Southern Oscillation (ENSO) is the largest source of year-to-year variability in the current climate, but the response of ENSO to past or future changes in climate is uncertain. This study compares the strength and spatial pattern of ENSO in a set of climate model simulations in order to explore how ENSO changes in different climates, including past cold glacial climates and past climates with different seasonal cycles, as well as gradual and abrupt future warming cases.
Robert Beyer, Mario Krapp, and Andrea Manica
Clim. Past, 16, 1493–1508, https://doi.org/10.5194/cp-16-1493-2020, https://doi.org/10.5194/cp-16-1493-2020, 2020
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Even the most sophisticated global climate models are known to have significant biases in the way they simulate the climate system. Correcting model biases is therefore essential for creating realistic reconstructions of past climate that can be used, for example, to study long-term ecological dynamics. Here, we evaluated three widely used bias correction methods by means of a global dataset of empirical temperature and precipitation records from the last 125 000 years.
Pepijn Bakker, Irina Rogozhina, Ute Merkel, and Matthias Prange
Clim. Past, 16, 371–386, https://doi.org/10.5194/cp-16-371-2020, https://doi.org/10.5194/cp-16-371-2020, 2020
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Northeastern Siberia is currently known for its harsh cold climate, but remarkably it did not experience large-scale glaciation during the last ice age. We show that the region is also exceptional in climate models. As a result of subtle changes in model setup, climate models show a strong divergence in simulated glacial summer temperatures that is ultimately driven by changes in the circumpolar atmospheric stationary wave pattern and associated northward heat transport to northeastern Siberia.
Yongyun Hu, Yan Xia, Zhengyu Liu, Yuchen Wang, Zhengyao Lu, and Tao Wang
Clim. Past, 16, 199–209, https://doi.org/10.5194/cp-16-199-2020, https://doi.org/10.5194/cp-16-199-2020, 2020
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The paper shows, using climate simulations, that the Pacific–North American (PNA) teleconnection was distorted or completely broken at the Last Glacial Maximum (LGM). The results suggest that ENSO would have little direct impact on North American climates at the LGM.
Mi Yan, Bin Wang, Jian Liu, Axing Zhu, Liang Ning, and Jian Cao
Clim. Past, 14, 2037–2052, https://doi.org/10.5194/cp-14-2037-2018, https://doi.org/10.5194/cp-14-2037-2018, 2018
Rumi Ohgaito, Ayako Abe-Ouchi, Ryouta O'ishi, Toshihiko Takemura, Akinori Ito, Tomohiro Hajima, Shingo Watanabe, and Michio Kawamiya
Clim. Past, 14, 1565–1581, https://doi.org/10.5194/cp-14-1565-2018, https://doi.org/10.5194/cp-14-1565-2018, 2018
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The behaviour of dust in terms of climate can be investigated using past climate. The Last Glacial Maximum (LGM; 21000 years before present) is known to be dustier. We investigated the impact of plausible dust distribution on the climate of the LGM using an Earth system model and found that the higher dust load results in less cooling over the polar regions. The main finding is that radiative perturbation by the high dust loading does not necessarily cool the surface surrounding Antarctica.
Leah Birch, Timothy Cronin, and Eli Tziperman
Clim. Past, 14, 1441–1462, https://doi.org/10.5194/cp-14-1441-2018, https://doi.org/10.5194/cp-14-1441-2018, 2018
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We investigate the regional dynamics at the beginning of the last ice age, using a nested configuration of the Weather Research and Forecasting (WRF) model with a simple ice flow model. We find that ice sheet height causes a negative feedback on continued ice growth by interacting with the atmospheric circulation, causing warming on Baffin Island, and inhibiting the initiation of the last ice age. We conclude that processes at larger scales are needed to overcome the regional warming effect.
Taraka Davies-Barnard, Andy Ridgwell, Joy Singarayer, and Paul Valdes
Clim. Past, 13, 1381–1401, https://doi.org/10.5194/cp-13-1381-2017, https://doi.org/10.5194/cp-13-1381-2017, 2017
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We present the first model analysis using a fully coupled dynamic atmosphere–ocean–vegetation GCM over the last 120 kyr that quantifies the net effect of vegetation on climate. This analysis shows that over the whole period the biogeophysical effect (albedo, evapotranspiration) is dominant, and that the biogeochemical impacts may have a lower possible range than typically estimated. This emphasises the temporal reliance of the balance between biogeophysical and biogeochemical effects.
Rima Rachmayani, Matthias Prange, and Michael Schulz
Clim. Past, 12, 677–695, https://doi.org/10.5194/cp-12-677-2016, https://doi.org/10.5194/cp-12-677-2016, 2016
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A set of 13 interglacial time slice experiments was carried out using a CCSM3-DGVM to study global climate variability between and within the Quaternary interglaciations of MIS 1, 5, 11, 13, and 15. Seasonal surface temperature anomalies can be explained by local insolation anomalies induced by the astronomical forcing in most regions and by GHG forcing at high latitudes and early Bruhnes interglacials. However, climate feedbacks may modify the surface temperature response in specific regions.
A. J. Coletti, R. M. DeConto, J. Brigham-Grette, and M. Melles
Clim. Past, 11, 979–989, https://doi.org/10.5194/cp-11-979-2015, https://doi.org/10.5194/cp-11-979-2015, 2015
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Evidence from Pleistocene sediments suggest that the Arctic's climate went through multiple sudden transitions, warming by 2-4 °C (compared to preindustrial times), and stayed warm for hundreds to thousands of years. A climate modelling study of these events suggests that the Arctic's climate and landscape drastically changed, transforming a cold and barren landscape as we know today to a warm, lush, evergreen and boreal forest landscape only seen in the modern midlatitudes.
P. A. Araya-Melo, M. Crucifix, and N. Bounceur
Clim. Past, 11, 45–61, https://doi.org/10.5194/cp-11-45-2015, https://doi.org/10.5194/cp-11-45-2015, 2015
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By using a statistical tool termed emulator, we study the sensitivity of the Indian monsoon during the the Pleistocene. The originality of the present work is to consider, as inputs, several elements of the climate forcing that have varied in the past, and then use the emulator as a method to quantify the link between forcing variability and climate variability. The methodology described here may naturally be applied to other regions of interest.
L. B. Stap, R. S. W. van de Wal, B. de Boer, R. Bintanja, and L. J. Lourens
Clim. Past, 10, 2135–2152, https://doi.org/10.5194/cp-10-2135-2014, https://doi.org/10.5194/cp-10-2135-2014, 2014
P.M. Langebroek and K. H. Nisancioglu
Clim. Past, 10, 1305–1318, https://doi.org/10.5194/cp-10-1305-2014, https://doi.org/10.5194/cp-10-1305-2014, 2014
I. Suter, R. Zech, J. G. Anet, and T. Peter
Clim. Past, 10, 1183–1194, https://doi.org/10.5194/cp-10-1183-2014, https://doi.org/10.5194/cp-10-1183-2014, 2014
D. J. Ullman, A. N. LeGrande, A. E. Carlson, F. S. Anslow, and J. M. Licciardi
Clim. Past, 10, 487–507, https://doi.org/10.5194/cp-10-487-2014, https://doi.org/10.5194/cp-10-487-2014, 2014
P. Beghin, S. Charbit, C. Dumas, M. Kageyama, D. M. Roche, and C. Ritz
Clim. Past, 10, 345–358, https://doi.org/10.5194/cp-10-345-2014, https://doi.org/10.5194/cp-10-345-2014, 2014
X. Zhang, G. Lohmann, G. Knorr, and X. Xu
Clim. Past, 9, 2319–2333, https://doi.org/10.5194/cp-9-2319-2013, https://doi.org/10.5194/cp-9-2319-2013, 2013
M. Crucifix
Clim. Past, 9, 2253–2267, https://doi.org/10.5194/cp-9-2253-2013, https://doi.org/10.5194/cp-9-2253-2013, 2013
M.-O. Brault, L. A. Mysak, H. D. Matthews, and C. T. Simmons
Clim. Past, 9, 1761–1771, https://doi.org/10.5194/cp-9-1761-2013, https://doi.org/10.5194/cp-9-1761-2013, 2013
I. Nikolova, Q. Yin, A. Berger, U. K. Singh, and M. P. Karami
Clim. Past, 9, 1789–1806, https://doi.org/10.5194/cp-9-1789-2013, https://doi.org/10.5194/cp-9-1789-2013, 2013
K. Saito, T. Sueyoshi, S. Marchenko, V. Romanovsky, B. Otto-Bliesner, J. Walsh, N. Bigelow, A. Hendricks, and K. Yoshikawa
Clim. Past, 9, 1697–1714, https://doi.org/10.5194/cp-9-1697-2013, https://doi.org/10.5194/cp-9-1697-2013, 2013
D. Handiani, A. Paul, M. Prange, U. Merkel, L. Dupont, and X. Zhang
Clim. Past, 9, 1683–1696, https://doi.org/10.5194/cp-9-1683-2013, https://doi.org/10.5194/cp-9-1683-2013, 2013
T. Tharammal, A. Paul, U. Merkel, and D. Noone
Clim. Past, 9, 789–809, https://doi.org/10.5194/cp-9-789-2013, https://doi.org/10.5194/cp-9-789-2013, 2013
J. D. Annan and J. C. Hargreaves
Clim. Past, 9, 367–376, https://doi.org/10.5194/cp-9-367-2013, https://doi.org/10.5194/cp-9-367-2013, 2013
H. J. Punge, H. Gallée, M. Kageyama, and G. Krinner
Clim. Past, 8, 1801–1819, https://doi.org/10.5194/cp-8-1801-2012, https://doi.org/10.5194/cp-8-1801-2012, 2012
J. M. Gregory, O. J. H. Browne, A. J. Payne, J. K. Ridley, and I. C. Rutt
Clim. Past, 8, 1565–1580, https://doi.org/10.5194/cp-8-1565-2012, https://doi.org/10.5194/cp-8-1565-2012, 2012
P. Bakker, C. J. Van Meerbeeck, and H. Renssen
Clim. Past, 8, 995–1009, https://doi.org/10.5194/cp-8-995-2012, https://doi.org/10.5194/cp-8-995-2012, 2012
D. Hofer, C. C. Raible, A. Dehnert, and J. Kuhlemann
Clim. Past, 8, 935–949, https://doi.org/10.5194/cp-8-935-2012, https://doi.org/10.5194/cp-8-935-2012, 2012
G. Levavasseur, M. Vrac, D. M. Roche, D. Paillard, A. Martin, and J. Vandenberghe
Clim. Past, 7, 1225–1246, https://doi.org/10.5194/cp-7-1225-2011, https://doi.org/10.5194/cp-7-1225-2011, 2011
F. S. R. Pausata, C. Li, J. J. Wettstein, M. Kageyama, and K. H. Nisancioglu
Clim. Past, 7, 1089–1101, https://doi.org/10.5194/cp-7-1089-2011, https://doi.org/10.5194/cp-7-1089-2011, 2011
C. Berrittella and J. van Huissteden
Clim. Past, 7, 1075–1087, https://doi.org/10.5194/cp-7-1075-2011, https://doi.org/10.5194/cp-7-1075-2011, 2011
U. Mikolajewicz
Clim. Past, 7, 161–180, https://doi.org/10.5194/cp-7-161-2011, https://doi.org/10.5194/cp-7-161-2011, 2011
K. Arpe, S. A. G. Leroy, and U. Mikolajewicz
Clim. Past, 7, 91–114, https://doi.org/10.5194/cp-7-91-2011, https://doi.org/10.5194/cp-7-91-2011, 2011
F. S. R. Pausata, C. Li, J. J. Wettstein, K. H. Nisancioglu, and D. S. Battisti
Clim. Past, 5, 489–502, https://doi.org/10.5194/cp-5-489-2009, https://doi.org/10.5194/cp-5-489-2009, 2009
Cited articles
Abe-Ouchi, A., Saito, F., Kawamura, K., Raymo, M. E., Okuno, J. i.,
Takahashi, K., and Blatter, H.: Insolation-driven 100,000-year glacial
cycles and hysteresis of ice-sheet volume, Nature, 500, 190–193, 2013.
Ashwin, P. and Ditlevsen, P.: The middle Pleistocene transition as a
generic bifurcation on a slow manifold, Clim. Dynam., 45, 2683–2695,
2015.
Bahadory, T. and Tarasov, L.: LCice 1.0 – a generalized Ice Sheet System Model coupler for LOVECLIM version 1.3: description, sensitivities, and validation with the Glacial Systems Model (GSM version D2017.aug17), Geosci. Model Dev., 11, 3883–3902, https://doi.org/10.5194/gmd-11-3883-2018, 2018.
Bahadory, T., Tarasov, L., and Andres, H.: The phase space of last glacial inception for the Northern Hemisphere from coupled ice and climate modelling, Clim. Past Discuss., https://doi.org/10.5194/cp-2020-1, in review, 2020.
Batchelor, C. L., Margold, M., Krapp, M., Murton, D. K., Dalton, A. S.,
Gibbard, P. L., Stokes, C. R., Murton, J. B., and Manica, A.: The
configuration of Northern Hemisphere ice sheets through the Quaternary,
Nat. Commun., 10, 1–10, 2019.
Berger, A.: Long-term variations of daily insolation and Quaternary climatic
changes, J. Atmos. Sci., 35, 2362–2367, 1978.
Bigg, G. R., Wadley, M. R., Stevens, D. P., and Johnson, J. A.: Modelling
the dynamics and thermodynamics of icebergs, Cold Reg. Sci.
Technol., 26, 113–135, 1997.
Bintanja, R., van de Wal, R. S. W., and Oerlemans, J.: Modelled atmospheric
temperatures and global sea levels over the past million years, Nature, 437,
125–125, 2005.
Born, A., Kageyama, M., and Nisancioglu, K. H.: Warm Nordic Seas delayed glacial inception in Scandinavia, Clim. Past, 6, 817–826, https://doi.org/10.5194/cp-6-817-2010, 2010.
Brovkin, V., Ganopolski, A., and Svirezhev, Y.: A continuous
climate-vegetation classification for use in climate-biosphere studies,
Ecol. Modell., 101, 251–261, 1997.
Calov, R. and Ganopolski, A.: Multistability and hysteresis in the
climate-cryosphere system under orbital forcing, Geophys. Res.
Lett., 32, L21717, https://doi.org/10.1029/2005gl024518, 2005.
Calov, R., Ganopolski, A., Claussen, M., Petoukhov, V., and Greve, R.:
Transient simulation of the last glacial inception. Part I: glacial
inception as a bifurcation in the climate system, Clim. Dynam., 24,
545–561, https://doi.org/10.1007/s00382-005-0007-6, 2005.
Cheng, H., Edwards, R. L., Sinha, A., Spotl, C., Yi, L., Chen, S., Kelly,
M., Kathayat, G., Wang, X., Li, X., Kong, X., Wang, Y., Ning, Y., and Zhang,
H.: The Asian monsoon over the past 640,000 years and ice age terminations,
Nature, 534, 640–646, https://doi.org/10.1038/nature18591, 2016.
Clark, P. U. and Huybers, P.: Global change: Interglacial and future sea
level, Nature, 462, 856–856, 2009.
Clark, P. U., Dyke, A. S., Shakun, J. D., Carlson, A. E., Clark, J.,
Wohlfarth, B., Mitrovica, J. X., Hostetler, S. W., and McCabe, A. M.: The
last glacial maximum, Science, 325, 710–714, 2009.
Clark, P. U., He, F., Golledge, N. R., Mitrovica, J. X., Dutton, A.,
Hoffman, J. S., and Dendy, S.: Oceanic forcing of penultimate deglacial and
last interglacial sea-level rise, Nature, 577, 660–664, 2020.
Colleoni, F. and Liakka, J.: Transient simulations of the Eurasian ice
sheet during the Saalian glacial cycle, SVENSK KÄRNBRÄNSLEHANTERING
AB, Stockholm SKB TR-19-17, 2020.
Colleoni, F. and Masina, S.: Impact of greenhouse gases and insolation on
the threshold of glacial inception, Annual Conference of the Societá
Italiana per le Scienze del Clima, 29–30 September 2014 at Ca'Foscari University of Venice, available at: https://www.sisclima.it/hp-rewrite/3dac344d8a6d44cdcb25853565ba9387 (last access: 11 November 2020), 2014,
Colleoni, F., Masina, S., Cherchi, A., and Iovino, D.: Impact of Orbital
Parameters and Greenhouse Gas on the Climate of MIS 7 and MIS 5 Glacial
Inceptions, J. Climate, 27, 8918–8933, 2014a.
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, 2014b.
Crucifix, M. and Loutre, F. M.: Transient simulations over the last
interglacial period (126–115 kyr BP): feedback and forcing analysis,
Clim. Dynam., 19, 417–433, 2002.
DeConto, R. M. and Pollard, D.: Contribution of Antarctica to past and
future sea-level rise, Nature, 531, 591–591, 2016.
Dolan, A. M., Hunter, S. J., Hill, D. J., Haywood, A. M., Koenig, S. J., Otto-Bliesner, B. L., Abe-Ouchi, A., Bragg, F., Chan, W.-L., Chandler, M. A., Contoux, C., Jost, A., Kamae, Y., Lohmann, G., Lunt, D. J., Ramstein, G., Rosenbloom, N. A., Sohl, L., Stepanek, C., Ueda, H., Yan, Q., and Zhang, Z.: Using results from the PlioMIP ensemble to investigate the Greenland Ice Sheet during the mid-Pliocene Warm Period, Clim. Past, 11, 403–424, https://doi.org/10.5194/cp-11-403-2015, 2015.
Dutton, A., Bard, E., Antonioli, F., Esat, T. M., Lambeck, K., and
McCulloch, M. T.: Phasing and amplitude of sea-level and climate change
during the penultimate interglacial, Nat. Geosci., 2, 355–355, 2009.
Francis, J. A. and Vavrus, S. J.: Evidence linking Arctic amplification to
extreme weather in mid-latitudes, Geophys. Res. Lett., 39, L06801, https://doi.org/10.1029/2012GL051000, 2012.
Friedrich, T. and Timmermann, A.: Using Late Pleistocene sea surface
temperature reconstructions to constrain future greenhouse warming, Earth
Planet. Sci. Lett., 530, 115911, https://doi.org/10.1016/j.epsl.2019.115911 2020.
Friedrich, T., Timmermann, A., Tigchelaar, M., Timm, O. E., and Ganopolski,
A.: Nonlinear climate sensitivity and its implications for future greenhouse
warming, Sci. Adv., 2, e1501923–e1501923, 2016.
Ganopolski, A. and Brovkin, V.: Simulation of climate, ice sheets and CO2 evolution during the last four glacial cycles with an Earth system model of intermediate complexity, Clim. Past, 13, 1695–1716, https://doi.org/10.5194/cp-13-1695-2017, 2017.
Ganopolski, A. and Calov, R.: The role of orbital forcing, carbon dioxide and regolith in 100 kyr glacial cycles, Clim. Past, 7, 1415–1425, https://doi.org/10.5194/cp-7-1415-2011, 2011.
Ganopolski, A., Calov, R., and Claussen, M.: Simulation of the last glacial cycle with a coupled climate ice-sheet model of intermediate complexity, Clim. Past, 6, 229–244, https://doi.org/10.5194/cp-6-229-2010, 2010.
Ganopolski, A., Winkelmann, R., and Schellnhuber, H. J.: Critical
insolation–CO2 relation for diagnosing past and future glacial
inception, Nature, 529, 200-3, https://doi.org/10.1038/nature16494, 2016.
Gasson, E. G. W., DeConto, R. M., Pollard, D., and Clark, C. D.: Numerical
simulations of a kilometre-thick Arctic ice shelf consistent with ice
grounding observations, Nat. Commun., 9, 1510–1510, 2018.
Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C.,
Jayne, S. R., Lawrence, D. M., Neale, R. B., Rasch, P. J., Vertenstein, M.,
Worley, P. H., Yang, Z.-L., and Zhang, M.: The community climate system model version 4, J.
Climate, 24, 4973–4991, 2011.
Gildor, H. and Tziperman, E.: Sea ice as the glacial cycles' climate
switch: Role of seasonal and orbital forcing, Paleoceanogr.
Paleoclimatol., 15, 605–615, 2000.
Goosse, H. and Fichefet, T.: Importance of ice-ocean interactions for the
global ocean circulation: A model study, J. Geophys. Res.-Oceans, 104, 23337–23355, 1999.
Goosse, H., Brovkin, V., Fichefet, T., Haarsma, R., Huybrechts, P., Jongma, J., Mouchet, A., Selten, F., Barriat, P.-Y., Campin, J.-M., Deleersnijder, E., Driesschaert, E., Goelzer, H., Janssens, I., Loutre, M.-F., Morales Maqueda, M. A., Opsteegh, T., Mathieu, P.-P., Munhoven, G., Pettersson, E. J., Renssen, H., Roche, D. M., Schaeffer, M., Tartinville, B., Timmermann, A., and Weber, S. L.: Description of the Earth system model of intermediate complexity LOVECLIM version 1.2, Geosci. Model Dev., 3, 603–633, https://doi.org/10.5194/gmd-3-603-2010, 2010.
Gregoire, L. J., Payne, A. J., and Valdes, P. J.: Deglacial rapid sea level
rises caused by ice-sheet saddle collapses, Nature, 487, 219–222, https://doi.org/10.1038/nature11257, 2012.
Greve, R.: A continuum-mechanical formulation for shallow polythermal ice
sheets, Philos. Trans. Roy. Soc. London A, 355, 921–974, 1997.
Hays, J. D., Imbrie, J., and Shackleton, N. J.: Variations in the Earth's
orbit: pacemaker of the ice ages, Science, 194, 1121–1132, 1976.
Heinemann, M., Timmermann, A., Elison Timm, O., Saito, F., and Abe-Ouchi, A.: Deglacial ice sheet meltdown: orbital pacemaking and CO2 effects, Clim. Past, 10, 1567–1579, https://doi.org/10.5194/cp-10-1567-2014, 2014.
Knutti, R., Flückiger, J., Stocker, T., and Timmermann, A.: Strong
hemispheric coupling of glacial climate through freshwater discharge and
ocean circulation, Nature, 430, 851–856, 2004.
Koenig, S. J., Dolan, A. M., de Boer, B., Stone, E. J., Hill, D. J., DeConto, R. M., Abe-Ouchi, A., Lunt, D. J., Pollard, D., Quiquet, A., Saito, F., Savage, J., and van de Wal, R.: Ice sheet model dependency of the simulated Greenland Ice Sheet in the mid-Pliocene, Clim. Past, 11, 369–381, https://doi.org/10.5194/cp-11-369-2015, 2015.
Laskar, J., Robutel, P., Joutel, F., Gastineau, M., Correia, A., and
Levrard, B.: A long-term numerical solution for the insolation quantities of
the Earth, Astro. Astrophys., 428, 261–285, 2004.
Le Morzadec, K., Tarasov, L., Morlighem, M., and Seroussi, H.: A new sub-grid surface mass balance and flux model for continental-scale ice sheet modelling: testing and last glacial cycle, Geosci. Model Dev., 8, 3199–3213, https://doi.org/10.5194/gmd-8-3199-2015, 2015.
Lisiecki, L. E. and Raymo, M. E.: A Pliocene-Pleistocene stack of 57
globally distributed benthic δ18O records, Paleoceanography, 20,
PA1003, https://doi.org/10.1029/2004PA001071, 2005.
Liu, Z., Otto-Bliesner, B., He, F., Brady, E., Tomas, R., Clark, P.,
Carlson, A., Lynch-Stieglitz, J., Curry, W., and Brook, E.: Transient
simulation of last deglaciation with a new mechanism for
Bølling-Allerød warming, Science, 325, 310–314, 2009.
Lofverstrom, M. and Liakka, J.: The influence of atmospheric grid resolution in a climate model-forced ice sheet simulation, The Cryosphere, 12, 1499–1510, https://doi.org/10.5194/tc-12-1499-2018, 2018.
Loulergue, L., Schilt, A., Spahni, R., Masson-Delmotte, V., Blunier, T.,
Lemieux, B., Barnola, J.-M., Raynaud, D., Stocker, T. F., and Chappellaz,
J.: Orbital and millennial-scale features of atmospheric CH4 over the past
800,000 years, Nature, 453, 383–383, 2008.
Lunt, D. J., Abe-Ouchi, A., Bakker, P., Berger, A., Braconnot, P., Charbit, S., Fischer, N., Herold, N., Jungclaus, J. H., Khon, V. C., Krebs-Kanzow, U., Langebroek, P. M., Lohmann, G., Nisancioglu, K. H., Otto-Bliesner, B. L., Park, W., Pfeiffer, M., Phipps, S. J., Prange, M., Rachmayani, R., Renssen, H., Rosenbloom, N., Schneider, B., Stone, E. J., Takahashi, K., Wei, W., Yin, Q., and Zhang, Z. S.: A multi-model assessment of last interglacial temperatures, Clim. Past, 9, 699–717, https://doi.org/10.5194/cp-9-699-2013, 2013.
Lüthi, D., Le Floch, M., Bereiter, B., Blunier, T., Barnola, J.-M.,
Siegenthaler, U., Raynaud, D., Jouzel, J., Fischer, H., Kawamura, K., and
others: High-resolution carbon dioxide concentration record 650,000-800,000
years before present, Nature, 453, 379–379, 2008.
Menviel, L., Joos, F., and Ritz, S.: Simulating atmospheric CO2,
13C and the marine carbon cycle during the Last Glacial–Interglacial
cycle: possible role for a deepening of the mean remineralization depth and
an increase in the oceanic nutrient inventory, Quaternary Sci. Rev.,
56, 46–68, 2012.
Nikolova, I., Yin, Q., Berger, A., Singh, U. K., and Karami, M. P.: The last interglacial (Eemian) climate simulated by LOVECLIM and CCSM3, Clim. Past, 9, 1789–1806, https://doi.org/10.5194/cp-9-1789-2013, 2013.
Opsteegh, J. D., Haarsma, R. J., Selten, F. M., and Kattenberg, A.: ECBILT:
A dynamic alternative to mixed boundary conditions in ocean models, Tellus
A, 50, 348–367, 1998.
Oster, J. L., Ibarra, D. E., Winnick, M. J., and Maher, K.: Steering of
westerly storms over western North America at the Last Glacial Maximum,
Nat. Geosci., 8, 201–205, https://doi.org/10.1038/ngeo2365, 2015.
Otto-Bliesner, B. L., Braconnot, P., Harrison, S. P., Lunt, D. J., Abe-Ouchi, A., Albani, S., Bartlein, P. J., Capron, E., Carlson, A. E., Dutton, A., Fischer, H., Goelzer, H., Govin, A., Haywood, A., Joos, F., LeGrande, A. N., Lipscomb, W. H., Lohmann, G., Mahowald, N., Nehrbass-Ahles, C., Pausata, F. S. R., Peterschmitt, J.-Y., Phipps, S. J., Renssen, H., and Zhang, Q.: The PMIP4 contribution to CMIP6 – Part 2: Two interglacials, scientific objective and experimental design for Holocene and Last Interglacial simulations, Geosci. Model Dev., 10, 3979–4003, https://doi.org/10.5194/gmd-10-3979-2017, 2017.
Pages, P. I. W. G. O.: Interglacials of the last 800,000 years, Rev.
Geophys., 54, 162–219, 2016.
Paillard, D.: The timing of Pleistocene glaciations from a simple
multiple-state climate model, Nature, 391, 378–381, https://doi.org/10.1038/34891, 1998.
Pedersen, R. A., Langen, P. L., and Vinther, B. M.: The last interglacial
climate: comparing direct and indirect impacts of insolation changes,
Clim. Dynam., 48, 3391–3407, 2017.
Petoukhov, V., Ganopolski, A., Brovkin, V., Claussen, M., Eliseev, A.,
Kubatzki, C., and Rahmstorf, S.: CLIMBER-2: a climate system model of
intermediate complexity. Part I: model description and performance for
present climate, Clim. Dynam., 16, 1–17, 2000.
Pollard, D. and DeConto, R. M.: A simple inverse method for the distribution of basal sliding coefficients under ice sheets, applied to Antarctica, The Cryosphere, 6, 953–971, https://doi.org/10.5194/tc-6-953-2012, 2012a.
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, 2012b.
Pollard, D., DeConto, R. M., and Alley, R. B.: Potential Antarctic Ice Sheet
retreat driven by hydrofracturing and ice cliff failure, Earth Planet.
Sci. Lett., 412, 112–121, 2015.
Rachmayani, R., Prange, M., and Schulz, M.: Intra-interglacial climate variability: model simulations of Marine Isotope Stages 1, 5, 11, 13, and 15, Clim. Past, 12, 677–695, https://doi.org/10.5194/cp-12-677-2016, 2016.
Rahmstorf, S.: Ocean circulation and climate during the past 120,000 years,
Nature, 419, 207–214, 2002.
Railsback, L. B., Gibbard, P. L., Head, M. J., Voarintsoa, N. R. G., and
Toucanne, S.: An optimized scheme of lettered marine isotope substages for
the last 1.0 million years, and the climatostratigraphic nature of isotope
stages and substages, Quaternary Sci. Rev., 111, 94–106, 2015.
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.-Atmos., 106,
31943–31964, 2001.
Robinson, A., Calov, R., and Ganopolski, A.: An efficient regional energy-moisture balance model for simulation of the Greenland Ice Sheet response to climate change, The Cryosphere, 4, 129–144, https://doi.org/10.5194/tc-4-129-2010, 2010.
Roche, D. M., Dumas, C., Bügelmayer, M., Charbit, S., and Ritz, C.: Adding a dynamical cryosphere to iLOVECLIM (version 1.0): coupling with the GRISLI ice-sheet model, Geosci. Model Dev., 7, 1377–1394, https://doi.org/10.5194/gmd-7-1377-2014, 2014.
Roe, G. H. and Lindzen, R. S.: The mutual interaction between
continental-scale ice sheets and atmospheric stationary waves, J.
Climate, 14, 1450–1465, 2001.
Rohling, E. J., Hibbert, F. D., Williams, F. H., Grant, K. M., Marino, G.,
Foster, G. L., Hennekam, R., De Lange, G. J., Roberts, A. P., and Yu, J.:
Differences between the last two glacial maxima and implications for
ice-sheet, δ18O, and sea-level reconstructions, Quaternary Sci.
Rev., 176, 1–28, 2017.
Saito, F. and Abe-Ouchi, A.: Thermal structure of Dome Fuji and east
Dronning Maud Land, Antarctica, simulated by a three-dimensional ice-sheet
model, Ann. Glaciol., 39, 433–438, 2004.
Schilt, A., Baumgartner, M., Blunier, T., Schwander, J., Spahni, R.,
Fischer, H., and Stocker, T. F.: Glacial–interglacial and millennial-scale
variations in the atmospheric nitrous oxide concentration during the last
800,000 years, Quaternary Sci. Rev., 29, 182–192, 2010.
Schloesser, F., Friedrich, T., Timmermann, A., DeConto, R. M., and Pollard,
D.: Antarctic iceberg impacts on future Southern Hemisphere climate, Nat.
Clim. Change, 9, 672–677, 2019.
Schoof, C.: Ice sheet grounding line dynamics: Steady states, stability, and
hysteresis, J. Geophys. Res.-Earth Surf., 112, F03S28, https://doi.org/10.1029/2006JF000664, 2007.
Spratt, R. M. and Lisiecki, L. E.: A Late Pleistocene sea level stack, Clim. Past, 12, 1079–1092, https://doi.org/10.5194/cp-12-1079-2016, 2016.
Stap, L. B., van de Wal, R. S. W., de Boer, B., Bintanja, R., and Lourens, L. J.: Interaction of ice sheets and climate during the past 800 000 years, Clim. Past, 10, 2135–2152, https://doi.org/10.5194/cp-10-2135-2014, 2014.
Stein, K., Timmermann, A., Kwon, E. Y., and Friedrich, T.: Timing and
magnitude of Southern Ocean sea ice/carbon cycle feedbacks, P.
Natl. Acad. Sci. USA, 117, 4498–4504, https://doi.org/10.1073/pnas.1908670117, 2020.
Svendsen, J. I., Alexanderson, H., Astakhov, V. I., Demidov, I., Dowdeswell,
J. A., Funder, S., Gataullin, V., Henriksen, M., Hjort, C., and
Houmark-Nielsen, M.: Late Quaternary ice sheet history of northern Eurasia,
Quaternary Sci. Rev., 23, 1229–1271, 2004.
Tigchelaar, M., Timmermann, A., Pollard, D., Friedrich, T., and Heinemann,
M.: Local insolation changes enhance Antarctic interglacials: Insights from
an 800,000-year ice sheet simulation with transient climate forcing, Earth
Planet. Sci. Lett., 495, 69–78, https://doi.org/10.1016/j.epsl.2018.05.004, 2018.
Timm, O. and Timmermann, A.: Simulation of the last 21 000 years using
accelerated transient boundary conditions, J. Climate, 20,
4377–4401, 2007.
Timm, O., Köhler, P., Timmermann, A., and Menviel, L.: Mechanisms for
the onset of the African Humid Period and Sahara Greening 14.5–11 ka BP,
J. Climate, 23, 2612–2633, 2010.
Timmermann, A. and Friedrich, T.: Late Pleistocene climate drivers of early
human migration, Nature, 538, 92–95, https://doi.org/10.1038/nature19365, 2016.
Timmermann, A., Sachs, J., and Timm, O. E.: Assessing divergent SST behavior
during the last 21 ka derived from alkenones andG. ruber-Mg/Ca in the
equatorial Pacific, Paleoceanography, 29, 680–696, 2014.
Ullman, D. J., LeGrande, A. N., Carlson, A. E., Anslow, F. S., and Licciardi, J. M.: Assessing the impact of Laurentide Ice Sheet topography on glacial climate, Clim. Past, 10, 487–507, https://doi.org/10.5194/cp-10-487-2014, 2014.
Uppala, S. M., Kållberg, P., Simmons, A., Andrae, U., Bechtold, V. D.
C., Fiorino, M., Gibson, J., Haseler, J., Hernandez, A., and Kelly, G.: The
ERA-40 re-analysis, Quarterly Journal of the Royal Meteorological Society: A
journal of the atmospheric sciences, Appl. Meteorol. Phys.
Oceanogr., 131, 2961–3012, 2005.
Van Den Berg, J., van de Wal, R., and Oerlemans, H.: A mass balance model
for the Eurasian Ice Sheet for the last 120,000 years, Global Planet.
Change, 61, 194–208, 2008.
Vizcaino, M., Mikolajewicz, U., Ziemen, F., Rodehacke, C. B., Greve, R., and
Van Den Broeke, M. R.: Coupled simulations of Greenland Ice Sheet and
climate change up to AD 2300, Geophys. Res. Lett., 42, 3927–3935,
2015.
Waelbroeck, C., Labeyrie, L., Michel, E., Duplessy, J. C., McManus, J. F.,
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.
Weertman, J.: Stability of ice-age ice sheets, J. Geophys.
Res., 66, 3783–3792, 1961.
Willeit, M., Ganopolski, A., Calov, R., and Brovkin, V.: Mid-Pleistocene
transition in glacial cycles explained by declining CO2 and regolith
removal, Sci. Adv., 5, eaav7337, https://doi.org/10.1126/sciadv.aav7337, 2019.
Yin, Q. Z. and Berger, A.: Individual contribution of insolation and
CO2 to the interglacial climates of the past 800,000 years, Clim.
Dynam., 38, 709–724, 2012.
Yoshimori, M., Reader, M., Weaver, A., and McFarlane, N.: On the causes of
glacial inception at 116 ka BP, Clim. Dynam., 18, 383–402, 2002.
Zhang, Z., Yan, Q., Zhang, R., Colleoni, F., Ramstein, G., Dai, G., Jakobsson, M., O'Regan, M., Liess, S., Rousseau, D.-D., Wu, N., Farmer, E. J., Contoux, C., Guo, C., Tan, N., and Guo, Z.: Rapid waxing and waning of Beringian ice sheet reconcile glacial climate records from around North Pacific, Clim. Past Discuss., https://doi.org/10.5194/cp-2020-38, 2020.
Ziemen, F. A., Kapsch, M.-L., Klockmann, M., and Mikolajewicz, U.: Heinrich events show two-stage climate response in transient glacial simulations, Clim. Past, 15, 153–168, https://doi.org/10.5194/cp-15-153-2019, 2019.
Short summary
Our study is the first study to conduct transient simulations over MIS 7, using a 3-D coupled climate–ice sheet model with interactive ice sheets in both hemispheres. We find glacial inceptions to be more sensitive to orbital variations, whereas glacial terminations need the concerted action of both orbital and CO2 forcings. We highlight the issue of multiple equilibria and an instability due to stationary-wave–topography feedback that can trigger unrealistic North American ice sheet growth.
Our study is the first study to conduct transient simulations over MIS 7, using a 3-D coupled...
