Articles | Volume 8, issue 5
https://doi.org/10.5194/cp-8-1565-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-8-1565-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Oct 2012
Research article |
| 11 Oct 2012
Modelling large-scale ice-sheet–climate interactions following glacial inception
J. M. Gregory
NCAS-Climate, Department of Meteorology, University of Reading, Reading, UK
Met Office Hadley Centre, Exeter, UK
O. J. H. Browne
NCAS-Climate, Department of Meteorology, University of Reading, Reading, UK
A. J. Payne
School of Geographical Sciences, University of Bristol, Bristol, UK
J. K. Ridley
Met Office Hadley Centre, Exeter, UK
I. C. Rutt
Department of Geography, College of Science, Swansea University, Swansea, UK
Related subject area
Subject: Climate Modelling | Archive: Modelling only | Timescale: Pleistocene
Modeled storm surge changes in a warmer world: the Last Interglacial
No changes in overall AMOC strength in interglacial PMIP4 time slices
On the importance of moisture conveyor belts from the tropical East Pacific for wetter conditions in the Atacama Desert during the Mid-Pliocene
The role of ice-sheet topography in the Alpine hydro-climate at glacial times
Simulating glacial dust changes in the Southern Hemisphere using ECHAM6.3-HAM2.3
Climate and ice sheet evolutions from the last glacial maximum to the pre-industrial period with an ice-sheet–climate coupled model
The role of land cover in the climate of glacial Europe
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
Simulating Marine Isotope Stage 7 with a coupled climate–ice sheet model
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
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
Paolo Scussolini, Job Dullaart, Sanne Muis, Alessio Rovere, Pepijn Bakker, Dim Coumou, Hans Renssen, Philip J. Ward, and Jeroen C. J. H. Aerts
Clim. Past, 19, 141–157, https://doi.org/10.5194/cp-19-141-2023, https://doi.org/10.5194/cp-19-141-2023, 2023
Short summary
Short summary
We reconstruct sea level extremes due to storm surges in a past warmer climate. We employ a novel combination of paleoclimate modeling and global ocean hydrodynamic modeling. We find that during the Last Interglacial, about 127 000 years ago, seasonal sea level extremes were indeed significantly different – higher or lower – on long stretches of the global coast. These changes are associated with different patterns of atmospheric storminess linked with meridional shifts in wind bands.
Zhiyi Jiang, Chris Brierley, David Thornalley, and Sophie Sax
Clim. Past, 19, 107–121, https://doi.org/10.5194/cp-19-107-2023, https://doi.org/10.5194/cp-19-107-2023, 2023
Short summary
Short summary
This work looks at a series of model simulations of two past warm climates. We focus on the deep overturning circulation in the Atlantic Ocean. We show that there are no robust changes in the overall strength of the circulation. We also show that the circulation hardly plays a role in changes in the surface climate across the globe.
Mark Reyers, Stephanie Fiedler, Patrick Ludwig, Christoph Böhm, Volker Wennrich, and Yaping Shao
Clim. Past Discuss., https://doi.org/10.5194/cp-2022-72, https://doi.org/10.5194/cp-2022-72, 2022
Revised manuscript accepted for CP
Short summary
Short summary
In this study we performed high-resolution climate model simulations for the hyper-arid Atacama Desert for a time period 3.2 million years ago (mid-Pliocene). The aim is to uncover the atmospheric processes that are involved in the enhancement of strong rainfall events during this period. We find that strong upper-level moisture fluxes (so-called moisture conveyer belts) originating in the tropical East Pacific are the main driver for increased rainfall in the mid-Pliocene.
Patricio Velasquez, Martina Messmer, and Christoph C. Raible
Clim. Past, 18, 1579–1600, https://doi.org/10.5194/cp-18-1579-2022, https://doi.org/10.5194/cp-18-1579-2022, 2022
Short summary
Short summary
We investigate the sensitivity of the glacial Alpine hydro-climate to northern hemispheric and local ice-sheet changes. We perform sensitivity simulations of up to 2 km horizontal resolution over the Alps for glacial periods. The findings demonstrate that northern hemispheric and local ice-sheet topography are important role in regulating the Alpine hydro-climate and permits a better understanding of the Alpine precipitation patterns at glacial times.
Stephan Krätschmer, Michèlle van der Does, Frank Lamy, Gerrit Lohmann, Christoph Völker, and Martin Werner
Clim. Past, 18, 67–87, https://doi.org/10.5194/cp-18-67-2022, https://doi.org/10.5194/cp-18-67-2022, 2022
Short summary
Short summary
We use an atmospheric model coupled to an aerosol model to investigate the global mineral dust cycle with a focus on the Southern Hemisphere for warmer and colder climate states and compare our results to observational data. Our findings suggest that Australia is the predominant source of dust deposited over Antarctica during the last glacial maximum. In addition, we find that the southward transport of dust from all sources to Antarctica happens at lower altitudes in colder climates.
Aurélien Quiquet, Didier M. Roche, Christophe Dumas, Nathaëlle Bouttes, and Fanny Lhardy
Clim. Past, 17, 2179–2199, https://doi.org/10.5194/cp-17-2179-2021, https://doi.org/10.5194/cp-17-2179-2021, 2021
Short summary
Short summary
In this paper we discuss results obtained with a set of coupled ice-sheet–climate model experiments for the last 26 kyrs. The model displays a large sensitivity of the oceanic circulation to the amount of the freshwater flux resulting from ice sheet melting. Ice sheet geometry changes alone are not enough to lead to abrupt climate events, and rapid warming at high latitudes is here only reported during abrupt oceanic circulation recoveries that occurred when accounting for freshwater flux.
Patricio Velasquez, Jed O. Kaplan, Martina Messmer, Patrick Ludwig, and Christoph C. Raible
Clim. Past, 17, 1161–1180, https://doi.org/10.5194/cp-17-1161-2021, https://doi.org/10.5194/cp-17-1161-2021, 2021
Short summary
Short summary
This study assesses the importance of resolution and land–atmosphere feedbacks for 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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Dipayan Choudhury, Axel Timmermann, Fabian Schloesser, Malte Heinemann, and David Pollard
Clim. Past, 16, 2183–2201, https://doi.org/10.5194/cp-16-2183-2020, https://doi.org/10.5194/cp-16-2183-2020, 2020
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
Northeastern Siberia is currently known for its harsh cold climate, but remarkably it did not experience large-scale glaciation during the last ice age. We show that the region is also exceptional in climate models. As a result of subtle changes in model setup, climate models show a strong divergence in simulated glacial summer temperatures that is ultimately driven by changes in the circumpolar atmospheric stationary wave pattern and associated northward heat transport to northeastern Siberia.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
A set of 13 interglacial time slice experiments was carried out using a CCSM3-DGVM to study global climate variability between and within the Quaternary interglaciations of MIS 1, 5, 11, 13, and 15. Seasonal surface temperature anomalies can be explained by local insolation anomalies induced by the astronomical forcing in most regions and by GHG forcing at high latitudes and early Bruhnes interglacials. However, climate feedbacks may modify the surface temperature response in specific regions.
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
Short summary
Short summary
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
Short summary
Short summary
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
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., Segawa, T., and Saito, F.: Climatic Conditions for modelling the Northern {Hemisphere} ice sheets throughout the ice age cycle, Clim. Past, 3, 423–438, https://doi.org/10.5194/cp-3-423-2007, 2007.
Bonelli, S., Charbit, S., Kageyama, M., Woillez, M.-N., Ramstein, G., Dumas, C., and Quiquet, A.: Investigating the evolution of major Northern {Hemisphere} ice sheets during the last glacial-interglacial cycle, Clim. Past, 5, 329–345, https://doi.org/10.5194/cp-5-329-2009, 2009.
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.
Braithwaite, R. J.: Positive degree-day factors for ablation on the Greenland ice-sheet studied by energy-balance modeling, J. Glaciol., 41, 153–160, 1995.
Brayshaw, D. J., Hoskins, B., and Black, E.: Some physical drivers of changes in the winter storm tracks over the North {Atlantic} and Mediterranean during the Holocene, Philos. Trans. R. Soc. London, 368, 5185–5223, https://doi.org/10.1098/rsta.2010.0180, 2010.
Browne, O. J. H.: Numerical modelling of large-scale ice-sheet–climate interactions, Ph.D. thesis, University of Reading, 2009.
Calov, R., Ganopolski, A., Claussen, M., Petoukhov, V., and Greve, R.: Transient simulation of the last glacial inception. {P}art I: glacial inception as a bifurcation in the climate system, Clim. Dynam., 24, 545–561, 2005.
Calov, R., Ganopolski, A., Kubatzki, C., and Claussen, M.: Mechanisms and time scales of glacial inception simulated with an Earth system model of intermediate complexity, Clim. Past, 5, 245–258, https://doi.org/10.5194/cp-5-245-2009, 2009.
Caputo, R.: Sea-level curves: Perplexities of an end-user in morphotectonic applications, Global Planet. Change, 57, 417–423, https://doi.org/10.1016/j.gloplacha.2007.03.003, 2007.
Charbit, S., Ritz, C., and Ramstein, G.: Simulations of Northern {Hemisphere} ice-sheet retreat: sensitivity to physical mechanisms involved during the Last Deglaciation, Quaternary Sci. Rev., 21, 243–265, https://doi.org/10.1016/S0277-3791(01)00093-2, 2002.
Charbit, S., Kageyama, M., Roche, D., Ritz, C., and Ramstein, G.: Investigating the mechanisms leading to the deglaciation of past continental northern hemisphere ice sheets with the CLIMBER–GREMLINS coupled model, Global Planet. Change, 48, 253–273, 2005.
Dong, B. W. and Valdes, P. J.: Sensitivity studies of northern-hemisphere glaciation using an atmospheric general-circulation model, J. Climate, 8, 2471–2496, 1995.
EPICA Community Members: Eight glacial cycles from an Antarctic ice core, Nature, 429, 623–628, 2004.
Fyke, J. G., Weaver, A. J., Pollard, D., Eby, M., Carter, L., and Mackintosh, A.: A new coupled ice sheet/climate model: description and sensitivity to model physics under Eemian, Last {Glacial} Maximum, late Holocene and modern climate conditions, Geosci. Model Devel., 4, 117–136, https://doi.org/10.5194/gmd-4-117-2011, 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.
Gardner, A. S. and Sharp, M.: Sensitivity of net mass-balance estimates to near-surface temperature lapse rates when employing the degree-day method to estimate glacier melt, Ann. Glaciol., 50, 80–86, 2009.
Gordon, C., Cooper, C., Senior, C. A., Banks, H., Gregory, J. M., Johns, T. C., Mitchell, J. F. B., and Wood, R. A.: The Simulation of SST, sea ice extents and ocean heat transports in a version of the {H}adley {C}entre coupled model without flux adjustments, Clim. Dynam., 16, 147–168, 2000.
Gregoire, L. J., Valdes, P. J., Payne, A. J., and Kahana, R.: Optimal tuning of a GCM using modern and glacial constraints, Clim. Dynam., 37, 705–719, https://doi.org/10.1007/s00382-010-0934-8, 2011.
Herrington, A. R. and Poulsen, C. J.: Terminating the Last Interglacial: The Role of Ice Sheet-Climate Feedbacks in a GCM Asynchronously Coupled to an Ice Sheet Model, J. Climate, 25, 1871–1882, https://doi.org/10.1175/JCLI-D-11-00218.1, 2012.
Hewitt, C. D. and Mitchell, J. F. B.: Radiative forcing and response of a GCM to ice age boundary conditions: Cloud feedback and climate sensitivity, Clim. Dynam., 13, 821–834, 1997.
Hewitt, C. D., Broccoli, A. J., Mitchell, J. F. B., and Stouffer, R. J.: A coupled model study of the last glacial maximum: {W}as part of the {N}orth {A}tlantic relatively warm?, Geophys. Res. Lett., 28, 1571–1574, 2001.
Hewitt, C. D., Stouffer, R. J., Broccoli, A. J., Mitchell, J. F. B., and Valdes, P. J.: The effect of ocean dynamics in a coupled GCM simulation of the last glacial maximum, Clim. Dynam., 20, 203–218, https://doi.org/10.1007/s00382-002-0272-6, 2003.
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, 2002.
Huybrechts, P., Letreguilly, A., and Reeh, N.: The Greenland ice sheet and greenhouse warming, Palaeogeogr. Palaeocl., 89, 399–412, 1991.
Huybrechts, P., Goelzer, H., Janssens, I., Driesschaert, E., Fichefet, T., Goosse, H., and Loutre, M.-F.: Response of the Greenland and Antarctic Ice Sheets to Multi-Millennial Greenhouse Warming in the Earth System Model of Intermediate Complexity LOVECLIM, Surv. Geophys., 32, 397–416, https://doi.org/10.1007/s10712-011-9131-5, 2011.
Jones, C. D., Gregory, J. M., Thorpe, R. B., Cox, P. M., Murphy, J. M., Sexton, D. M. H., and Valdes, P.: Systematic optimisation and climate simulation of FAMOUS, a fast version of {H}ad{CM}3, Clim. Dynam., 25, 189–204, https://doi.org/10.1007/s00382-005-0027-2, 2005.
Kageyama, M., Charbit, S., Ritz, C., Khodri, M., and Ramstein, G.: Quantifying ice-sheet feedbacks during the last glacial inception, Geophys. Res. Lett., 31, L24203, https://doi.org/10.1029/2004GL021339, 2004.
Khodri, M., Ramstein, G., de Noblet-Ducoudré, N., and Kageyama, M.: Sensitivity of the northern extratropics hydrological cycle to the changing insolation forcing at 126 and 115 ky BP, Clim. Dynam., 21, 273–287, https://doi.org/10.1007/s00382-003-0333-5, 2003.
Lunt, D. J., de Noblet-Ducoudre, N., and Charbit, S.: Effects of a melted Greenland ice sheet on climate, vegetation, and the cryosphere, Clim. Dynam., 23, 679–694, https://doi.org/10.1007/s00382-004-0463-4, 2004.
Marshall, S. J., James, T. S., and Clarke, G. K. C.: North {American} Ice Sheet reconstructions at the Last {Glacial} Maximum, Quaternary Sci. Rev., 21, 175–192, 2002.
Marshall, S. J., Sharp, M. J., Burgess, D. O., and Anslow, F. S.: Near-surface-temperature lapse rates on the Prince of Wales Icefield, Ellesmere Island, {Canada}: implications for regional downscaling of temperature, Int. J. Climatol., 27, 385–398, 2007.
Otieno, F. O. and Bromwich, D. H.: Contribution of Atmospheric Circulation to Inception of the Laurentide Ice Sheet at 116 kyr BP, J. Climate, 22, 39–57, https://doi.org/10.1175/2008JCLI2211.1, 2009.
Payne, A. J.: A thermomechanical model of ice flow in West Antarctica, Clim. Dynam., 15, 115–125, 1999.
Pollard, D.: A retrospective look at coupled ice sheet–climate modeling, Clim. Change, 100, 173–194, https://doi.org/10.1007/s10584-010-9830-9, 2010.
Pritchard, M. S., Bush, A. B. G., and Marshall, S. J.: Neglecting ice-atmosphere interactions underestimates ice sheet melt in millennial-scale deglaciation simulations, Geophys. Res. Lett., 35, L01503, https://doi.org/10.1029/2007GL031738, 2008.
Radić, V. and Hock, H.: Regional and global volumes of glaciers derived from statistical upscaling of glacier inventory data, J. Geophys. Res., 115, F01010, https://doi.org/10.1029/2009JF001373, 2010.
Reeh, N.: Parameterization of melt rate and surface temperature on the Greenland ice sheet, Polarforschung, 59, 113–128, 1989.
Reichler, T. and Kim, J.: How well do coupled models simulate Today's climate?, B. Am. Meteorol. Soc., 89, 303–311, https://doi.org/10.1175/BAMS-89-3-303, 2008.
Ridley, J., Huybrechts, P., Gregory, J. M., and Lowe, J. A.: Elimination of the Greenland ice sheet in a high CO2 climate, J. Climate, 18, 3409–3427, 2005.
Ridley, J., Gregory, J. M., Huybrechts, P., and Lowe, J.: Thresholds for irreversible decline of the Greenland ice sheet, Clim. Dynam., 35, 1065–1073, https://doi.org/10.1007/s00382-009-0646-0, 2010.
Rutt, I. C., Hagdorn, M., Hulton, N. R. J., and Payne, A. J.: The Glimmer community ice sheet model, J. Geophys. Res., 114, F02004, https://doi.org/10.1029/2008JF001015, 2009.
Smith, R. S. and Gregory, J. M.: Transient simulations of the last glacial cycle with an AOGCM, Clim. Dynam., 38, 1545–1559, https://doi.org/10.1007/s00382-011-1283-y, 2012.
Smith, R. S., Osprey, A., and Gregory, J. M.: A description of the FAMOUS (version {XDBUA}) climate model and control run, Geosci. Model Devel., 1, 53–68, https://doi.org/10.5194/gmd-1-53-2008, 2008.
Tarasov, L. and Peltier, W. R.: A calibrated deglacial drainage chronology for the North American} continent: evidence of an Arctic trigger for the Younger {Dryas, Quaternary Sci. Rev., 25, 659–688, 2006.
van den Broeke, M., Bus, C., Ettema, J., and Smeets, P.: Temperature thresholds for degree-day modelling of Greenland ice sheet melt rates, Geophys. Res. Lett., 37, L18501, https://doi.org/10.1029/2010GL044123, 2010.
Vettoretti, G. and Peltier, W. R.: Post-Eemian Glacial Inception. Part I}: {The impact of a Summer Seasonal Temperature Bias, J. Climate, 16, 889–911, 2003.
Vizca\'{i}no, M., Mikolajewicz, U., Gröger, M., Maier-Reimer, E., Schurgers, G., and Winguth, A. M. E.: Long-term ice sheet-climate interactions under anthropogenic greenhouse forcing simulated with a complex Earth System Model, Clim. Dynam., 31, 665–690, https://doi.org/10.1007/s00382-008-0369-7, 2008.
Vizca\'{i}no, M., Mikolajewicz, U., Jungclaus, J., and Schurgers, G.: Climate modification by future ice sheet changes and consequences for ice sheet mass balance, Clim. Dynam., 34, 301–324, https://doi.org/10.1007/s00382-009-0591-y, 2010.
Wang, Z. and Mysak, L. A.: Simulation of the last glacial inception and rapid ice sheet growth in the McGill paleoclimate model, Geophys. Res. Lett., 29, 2102, https://doi.org/10.1029/2002GL015120, 2002.
Yoshimori, M., Reader, M. C., Weaver, A. J., and McFarlane, N. A.: On the causes of glacial inception at 116ka BP, Clim. Dynam., 18, 383–402, 2002.
Zweck, C. and Huybrechts, P.: Modeling of the northern hemisphere ice sheets during the last glacial cycle and glaciological sensitivity, J. Geophys. Res., 110, D07103, https://doi.org/10.1029/2004JD005489, 2005.
