Articles | Volume 9, issue 2
https://doi.org/10.5194/cp-9-735-2013
© Author(s) 2013. 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-9-735-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Mar 2013
Research article |
| 15 Mar 2013
Modeling the climatic implications and indicative senses of the Guliya δ18O-temperature proxy record to the ocean–atmosphere system during the past 130 ka
D. Xiao
Chinese Academy of Meteorological Sciences, Beijing 100081, China
P. Zhao
State Key Laboratory of Severe Weather, Beijing 100081, China
Chinese Academy of Meteorological Sciences, Beijing 100081, China
Y. Wang
State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China
X. Zhou
State Key Laboratory of Severe Weather, Beijing 100081, China
Chinese Academy of Meteorological Sciences, Beijing 100081, China
Related subject area
Subject: Climate Modelling | Archive: Modelling only | Timescale: Milankovitch
An energy budget approach to understand the Arctic warming during the Last Interglacial
Milankovitch, the father of paleoclimate modeling
Greenland climate simulations show high Eemian surface melt which could explain reduced total air content in ice cores
The response of tropical precipitation to Earth's precession: the role of energy fluxes and vertical stability
Interhemispheric effect of global geography on Earth's climate response to orbital forcing
Link between the North Atlantic Oscillation and the surface mass balance components of the Greenland Ice Sheet under preindustrial and last interglacial climates: a study with a coupled global circulation model
Eemian Greenland SMB strongly sensitive to model choice
The importance of snow albedo for ice sheet evolution over the last glacial cycle
Comparison of surface mass balance of ice sheets simulated by positive-degree-day method and energy balance approach
Sea ice led to poleward-shifted winds at the Last Glacial Maximum: the influence of state dependency on CMIP5 and PMIP3 models
The effect of a dynamic soil scheme on the climate of the mid-Holocene and the Last Glacial Maximum
Obliquity forcing of low-latitude climate
Modelling of mineral dust for interglacial and glacial climate conditions with a focus on Antarctica
Coupled ice sheet–climate modeling under glacial and pre-industrial boundary conditions
Relative impact of insolation and the Indo-Pacific warm pool surface temperature on the East Asia summer monsoon during the MIS-13 interglacial
Factors controlling the last interglacial climate as simulated by LOVECLIM1.3
Deglacial ice sheet meltdown: orbital pacemaking and CO2 effects
Statistical downscaling of a climate simulation of the last glacial cycle: temperature and precipitation over Northern Europe
Impact of precession on the climate, vegetation and fire activity in southern Africa during MIS4
Mending Milankovitch's theory: obliquity amplification by surface feedbacks
Megalake Chad impact on climate and vegetation during the late Pliocene and the mid-Holocene
Quantification of the Greenland ice sheet contribution to Last Interglacial sea level rise
Southern westerlies in LGM and future (RCP4.5) climates
Inferred gas hydrate and permafrost stability history models linked to climate change in the Beaufort-Mackenzie Basin, Arctic Canada
The role of orbital forcing, carbon dioxide and regolith in 100 kyr glacial cycles
Methane variations on orbital timescales: a transient modeling experiment
Deciphering the spatio-temporal complexity of climate change of the last deglaciation: a model analysis
Effects of orbital forcing on atmosphere and ocean heat transports in Holocene and Eemian climate simulations with a comprehensive Earth system model
Investigating the evolution of major Northern Hemisphere ice sheets during the last glacial-interglacial cycle
Individual and combined effects of ice sheets and precession on MIS-13 climate
Marie Sicard, Masa Kageyama, Sylvie Charbit, Pascale Braconnot, and Jean-Baptiste Madeleine
Clim. Past, 18, 607–629, https://doi.org/10.5194/cp-18-607-2022, https://doi.org/10.5194/cp-18-607-2022, 2022
Short summary
Short summary
The Last Interglacial (129–116 ka) is characterised by an increased summer insolation over the Arctic region, which leads to a strong temperature rise. The aim of this study is to identify and quantify the main processes and feedback causing this Arctic warming. Using the IPSL-CM6A-LR model, we investigate changes in the energy budget relative to the pre-industrial period. We highlight the crucial role of Arctic sea ice cover, ocean and clouds on the Last Interglacial Arctic warming.
Andre Berger
Clim. Past, 17, 1727–1733, https://doi.org/10.5194/cp-17-1727-2021, https://doi.org/10.5194/cp-17-1727-2021, 2021
Short summary
Short summary
This paper stresses the original contributions of Milankovitch related to his caloric seasons and his climate model giving the caloric seasons a climatological meaning.
Andreas Plach, Bo M. Vinther, Kerim H. Nisancioglu, Sindhu Vudayagiri, and Thomas Blunier
Clim. Past, 17, 317–330, https://doi.org/10.5194/cp-17-317-2021, https://doi.org/10.5194/cp-17-317-2021, 2021
Short summary
Short summary
In light of recent large-scale melting of the Greenland ice sheet
(GrIS), e.g., in the summer of 2012 several days with surface melt
on the entire ice sheet (including elevations above 3000 m), we use
computer simulations to estimate the amount of melt during a
warmer-than-present period of the past. Our simulations show more
extensive melt than today. This is important for the interpretation of
ice cores which are used to reconstruct the evolution of the ice sheet
and the climate.
Chetankumar Jalihal, Joyce Helena Catharina Bosmans, Jayaraman Srinivasan, and Arindam Chakraborty
Clim. Past, 15, 449–462, https://doi.org/10.5194/cp-15-449-2019, https://doi.org/10.5194/cp-15-449-2019, 2019
Short summary
Short summary
Insolation is thought to drive monsoons on orbital timescales. We find that insolation can be a trigger for changes in precipitation, but surface energy and vertical stability play an important role too. These feedbacks are found to be dominant over oceans and can even counter the insolation forcing, thus leading to a land–sea differential response in precipitation.
Rajarshi Roychowdhury and Robert DeConto
Clim. Past, 15, 377–388, https://doi.org/10.5194/cp-15-377-2019, https://doi.org/10.5194/cp-15-377-2019, 2019
Short summary
Short summary
The climate response of the Earth to orbital forcing shows a distinct hemispheric asymmetry, and one of the reasons can be ascribed to the unequal distribution of land in the Northern Hemisphere and Southern Hemisphere. We show that a land asymmetry effect (LAE) exists, and that it can be quantified. By using a GCM with a unique geographic setup, we illustrate that there are far-field influences of global geography that moderate or accentuate the Earth's response to orbital forcing.
Silvana Ramos Buarque and David Salas y Melia
Clim. Past, 14, 1707–1725, https://doi.org/10.5194/cp-14-1707-2018, https://doi.org/10.5194/cp-14-1707-2018, 2018
Short summary
Short summary
The link between the surface mass balance components of the Greenland Ice Sheet and both phases of the NAO is examined under preindustrial and warmer and colder climates of the last interglacial from simulations performed with CNRM-CM5.2. Accumulation in south Greenland is correlated with positive (negative) phases of the NAO in a warm (cold) climate. Melting under a warm (cold) climate is correlated with the negative (positive) phase of the NAO in north and northeast Greenland (at the margins).
Andreas Plach, Kerim H. Nisancioglu, Sébastien Le clec'h, Andreas Born, Petra M. Langebroek, Chuncheng Guo, Michael Imhof, and Thomas F. Stocker
Clim. Past, 14, 1463–1485, https://doi.org/10.5194/cp-14-1463-2018, https://doi.org/10.5194/cp-14-1463-2018, 2018
Short summary
Short summary
The Greenland ice sheet is a huge frozen water reservoir which is crucial for predictions of sea level in a warming future climate. Therefore, computer models are needed to reliably simulate the melt of ice sheets. In this study, we use climate model simulations of the last period where it was warmer than today in Greenland. We test different melt models under these climatic conditions and show that the melt models show very different results under these warmer conditions.
Matteo Willeit and Andrey Ganopolski
Clim. Past, 14, 697–707, https://doi.org/10.5194/cp-14-697-2018, https://doi.org/10.5194/cp-14-697-2018, 2018
Short summary
Short summary
The surface energy and mass balance of ice sheets strongly depends on surface albedo. Here, using an Earth system model of intermediate complexity, we explore the role played by surface albedo for the simulation of glacial cycles. We show that the evolution of the Northern Hemisphere ice sheets over the last glacial cycle is very sensitive to the parameterization of snow grain size and the effect of dust deposition on snow albedo.
Eva Bauer and Andrey Ganopolski
Clim. Past, 13, 819–832, https://doi.org/10.5194/cp-13-819-2017, https://doi.org/10.5194/cp-13-819-2017, 2017
Short summary
Short summary
Transient glacial cycle simulations with an EMIC and the PDD method require smaller melt factors for inception than for termination and larger factors for American than European ice sheets. The PDD online method with standard values simulates a sea level drop of 250 m at the LGM. The PDD online run reproducing the LGM ice volume has deficient ablation for reversing from glacial to interglacial climate, so termination is delayed. The SEB method with dust impact on snow albedo is seen as superior.
Louise C. Sime, Dominic Hodgson, Thomas J. Bracegirdle, Claire Allen, Bianca Perren, Stephen Roberts, and Agatha M. de Boer
Clim. Past, 12, 2241–2253, https://doi.org/10.5194/cp-12-2241-2016, https://doi.org/10.5194/cp-12-2241-2016, 2016
Short summary
Short summary
Latitudinal shifts in the Southern Ocean westerly wind jet could explain large observed changes in the glacial to interglacial ocean CO2 inventory. However there is considerable disagreement in modelled deglacial-warming jet shifts. Here multi-model output is used to show that expansion of sea ice during the glacial period likely caused a slight poleward shift and intensification in the westerly wind jet. Issues with model representation of the winds caused much of the previous disagreement.
M. Stärz, G. Lohmann, and G. Knorr
Clim. Past, 12, 151–170, https://doi.org/10.5194/cp-12-151-2016, https://doi.org/10.5194/cp-12-151-2016, 2016
Short summary
Short summary
In order to account for coupled climate-soil processes, we developed a soil scheme which is asynchronously coupled to an earth system model. We tested the scheme and found additional warming for a relatively warm climate (mid-Holocene), and extra cooling for a colder (Last Glacial Maximum) than preindustrial climate. These findings indicate a relatively strong positive soil feedback to climate, which may help to reduce model-data discrepancies for the climate of the geological past.
J. H. C. Bosmans, F. J. Hilgen, E. Tuenter, and L. J. Lourens
Clim. Past, 11, 1335–1346, https://doi.org/10.5194/cp-11-1335-2015, https://doi.org/10.5194/cp-11-1335-2015, 2015
Short summary
Short summary
Our study shows that the influence of obliquity (the tilt of Earth's rotational axis) can be explained through changes in the insolation gradient across the tropics. This explanation is fundamentally different from high-latitude mechanisms that were previously often inferred to explain obliquity signals in low-latitude paleoclimate records, for instance glacial fluctuations. Our study is based on state-of-the-art climate model experiments.
N. Sudarchikova, U. Mikolajewicz, C. Timmreck, D. O'Donnell, G. Schurgers, D. Sein, and K. Zhang
Clim. Past, 11, 765–779, https://doi.org/10.5194/cp-11-765-2015, https://doi.org/10.5194/cp-11-765-2015, 2015
F. A. Ziemen, C. B. Rodehacke, and U. Mikolajewicz
Clim. Past, 10, 1817–1836, https://doi.org/10.5194/cp-10-1817-2014, https://doi.org/10.5194/cp-10-1817-2014, 2014
Q. Z. Yin, U. K. Singh, A. Berger, Z. T. Guo, and M. Crucifix
Clim. Past, 10, 1645–1657, https://doi.org/10.5194/cp-10-1645-2014, https://doi.org/10.5194/cp-10-1645-2014, 2014
M. F. Loutre, T. Fichefet, H. Goosse, P. Huybrechts, H. Goelzer, and E. Capron
Clim. Past, 10, 1541–1565, https://doi.org/10.5194/cp-10-1541-2014, https://doi.org/10.5194/cp-10-1541-2014, 2014
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
N. Korhonen, A. Venäläinen, H. Seppä, and H. Järvinen
Clim. Past, 10, 1489–1500, https://doi.org/10.5194/cp-10-1489-2014, https://doi.org/10.5194/cp-10-1489-2014, 2014
M.-N. Woillez, G. Levavasseur, A.-L. Daniau, M. Kageyama, D. H. Urrego, M.-F. Sánchez-Goñi, and V. Hanquiez
Clim. Past, 10, 1165–1182, https://doi.org/10.5194/cp-10-1165-2014, https://doi.org/10.5194/cp-10-1165-2014, 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
C. Contoux, A. Jost, G. Ramstein, P. Sepulchre, G. Krinner, and M. Schuster
Clim. Past, 9, 1417–1430, https://doi.org/10.5194/cp-9-1417-2013, https://doi.org/10.5194/cp-9-1417-2013, 2013
E. J. Stone, D. J. Lunt, J. D. Annan, and J. C. Hargreaves
Clim. Past, 9, 621–639, https://doi.org/10.5194/cp-9-621-2013, https://doi.org/10.5194/cp-9-621-2013, 2013
Y. Chavaillaz, F. Codron, and M. Kageyama
Clim. Past, 9, 517–524, https://doi.org/10.5194/cp-9-517-2013, https://doi.org/10.5194/cp-9-517-2013, 2013
J. Majorowicz, J. Safanda, and K. Osadetz
Clim. Past, 8, 667–682, https://doi.org/10.5194/cp-8-667-2012, https://doi.org/10.5194/cp-8-667-2012, 2012
A. Ganopolski and R. Calov
Clim. Past, 7, 1415–1425, https://doi.org/10.5194/cp-7-1415-2011, https://doi.org/10.5194/cp-7-1415-2011, 2011
T. Y. M. Konijnendijk, S. L. Weber, E. Tuenter, and M. van Weele
Clim. Past, 7, 635–648, https://doi.org/10.5194/cp-7-635-2011, https://doi.org/10.5194/cp-7-635-2011, 2011
D. M. Roche, H. Renssen, D. Paillard, and G. Levavasseur
Clim. Past, 7, 591–602, https://doi.org/10.5194/cp-7-591-2011, https://doi.org/10.5194/cp-7-591-2011, 2011
N. Fischer and J. H. Jungclaus
Clim. Past, 6, 155–168, https://doi.org/10.5194/cp-6-155-2010, https://doi.org/10.5194/cp-6-155-2010, 2010
S. Bonelli, S. Charbit, M. Kageyama, M.-N. Woillez, G. Ramstein, C. Dumas, and A. Quiquet
Clim. Past, 5, 329–345, https://doi.org/10.5194/cp-5-329-2009, https://doi.org/10.5194/cp-5-329-2009, 2009
Q. Z. Yin, A. Berger, and M. Crucifix
Clim. Past, 5, 229–243, https://doi.org/10.5194/cp-5-229-2009, https://doi.org/10.5194/cp-5-229-2009, 2009
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