Articles | Volume 10, issue 3
https://doi.org/10.5194/cp-10-1165-2014
© Author(s) 2014. 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-10-1165-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Jun 2014
Research article |
| 18 Jun 2014
Impact of precession on the climate, vegetation and fire activity in southern Africa during MIS4
M.-N. Woillez
Centre National de la Recherche Scientifique (CNRS), Environnements et Paléocenvironements Océaniques et Continentaux (EPOC), Unité Mixte de Recherche, UMR5805, CNRS – Université Bordeaux 1, 33400 Talence, France
Ecole Pratique des Hautes Etudes (EPHE), EPOC, UMR 5805, 33400 Talence, France
CNRS, de la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie (PACEA), UMR 5199, 33400 Talence, France
G. Levavasseur
Institut Pierre Simon Laplace, Pôle de Modélisation du Climat, Université Pierre et Marie Curie, 4 Place Jussieu, Paris, France
A.-L. Daniau
Centre National de la Recherche Scientifique (CNRS), Environnements et Paléocenvironements Océaniques et Continentaux (EPOC), Unité Mixte de Recherche, UMR5805, CNRS – Université Bordeaux 1, 33400 Talence, France
M. Kageyama
LSCE/IPSL INSU, UMR 8212, CE Saclay, l'Orme des Merisiers, 91191 Gif-sur-Yvette Cedex, France
D. H. Urrego
Centre National de la Recherche Scientifique (CNRS), Environnements et Paléocenvironements Océaniques et Continentaux (EPOC), Unité Mixte de Recherche, UMR5805, CNRS – Université Bordeaux 1, 33400 Talence, France
Ecole Pratique des Hautes Etudes (EPHE), EPOC, UMR 5805, 33400 Talence, France
CNRS, de la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie (PACEA), UMR 5199, 33400 Talence, France
M.-F. Sánchez-Goñi
Ecole Pratique des Hautes Etudes (EPHE), EPOC, UMR 5805, 33400 Talence, France
V. Hanquiez
Centre National de la Recherche Scientifique (CNRS), Environnements et Paléocenvironements Océaniques et Continentaux (EPOC), Unité Mixte de Recherche, UMR5805, CNRS – Université Bordeaux 1, 33400 Talence, France
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Guillaume Latombe, Ariane Burke, Mathieu Vrac, Guillaume Levavasseur, Christophe Dumas, Masa Kageyama, and Gilles Ramstein
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Masa Kageyama, Pascale Braconnot, Sandy P. Harrison, Alan M. Haywood, Johann H. Jungclaus, Bette L. Otto-Bliesner, Jean-Yves Peterschmitt, Ayako Abe-Ouchi, Samuel Albani, Patrick J. Bartlein, Chris Brierley, Michel Crucifix, Aisling Dolan, Laura Fernandez-Donado, Hubertus Fischer, Peter O. Hopcroft, Ruza F. Ivanovic, Fabrice Lambert, Daniel J. Lunt, Natalie M. Mahowald, W. Richard Peltier, Steven J. Phipps, Didier M. Roche, Gavin A. Schmidt, Lev Tarasov, Paul J. Valdes, Qiong Zhang, and Tianjun Zhou
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Geosci. Model Dev., 10, 3329–3357, https://doi.org/10.5194/gmd-10-3329-2017, https://doi.org/10.5194/gmd-10-3329-2017, 2017
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Priscilla Le Mézo, Luc Beaufort, Laurent Bopp, Pascale Braconnot, and Masa Kageyama
Clim. Past, 13, 759–778, https://doi.org/10.5194/cp-13-759-2017, https://doi.org/10.5194/cp-13-759-2017, 2017
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This paper focuses on the relationship between Arabian Sea biological productivity and the Indian summer monsoon in climates of the last 72 kyr. A general circulation model coupled to a biogeochemistry model simulates the changes in productivity and monsoon intensity and pattern. The paradigm stating that a stronger summer monsoon enhances productivity is not always verified in our simulations. This work highlights the importance of considering the monsoon pattern in addition to its intensity.
Ruza F. Ivanovic, Lauren J. Gregoire, Masa Kageyama, Didier M. Roche, Paul J. Valdes, Andrea Burke, Rosemarie Drummond, W. Richard Peltier, and Lev Tarasov
Geosci. Model Dev., 9, 2563–2587, https://doi.org/10.5194/gmd-9-2563-2016, https://doi.org/10.5194/gmd-9-2563-2016, 2016
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Jennifer R. Marlon, Ryan Kelly, Anne-Laure Daniau, Boris Vannière, Mitchell J. Power, Patrick Bartlein, Philip Higuera, Olivier Blarquez, Simon Brewer, Tim Brücher, Angelica Feurdean, Graciela Gil Romera, Virginia Iglesias, S. Yoshi Maezumi, Brian Magi, Colin J. Courtney Mustaphi, and Tonishtan Zhihai
Biogeosciences, 13, 3225–3244, https://doi.org/10.5194/bg-13-3225-2016, https://doi.org/10.5194/bg-13-3225-2016, 2016
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We reconstruct spatiotemporal variations in biomass burning since the Last Glacial Maximum (LGM) using the Global Charcoal Database version 3 (including 736 records) and a method to grid the data. LGM to late Holocene burning broadly tracks global and regional climate changes over that interval. Human activities increase fire in the 1800s and then reduce it for most of the 20th century. Burning is now rapidly increasing, particularly in western North America and southeastern Australia.
C. Reutenauer, A. Landais, T. Blunier, C. Bréant, M. Kageyama, M.-N. Woillez, C. Risi, V. Mariotti, and P. Braconnot
Clim. Past, 11, 1527–1551, https://doi.org/10.5194/cp-11-1527-2015, https://doi.org/10.5194/cp-11-1527-2015, 2015
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Isotopes of atmospheric O2 undergo millennial-scale variations during the last glacial period, and systematically increase during Heinrich stadials.
Such variations are mostly due to vegetation and water cycle processes.
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It highlights the strong role of hydrology on O2 isotopes, which can be seen as a global integrator of precipitation changes over vegetated areas.
A. Abe-Ouchi, F. Saito, M. Kageyama, P. Braconnot, S. P. Harrison, K. Lambeck, B. L. Otto-Bliesner, W. R. Peltier, L. Tarasov, J.-Y. Peterschmitt, and K. Takahashi
Geosci. Model Dev., 8, 3621–3637, https://doi.org/10.5194/gmd-8-3621-2015, https://doi.org/10.5194/gmd-8-3621-2015, 2015
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We describe the creation of boundary conditions related to the presence of ice sheets, including ice-sheet extent and height, ice-shelf extent, and the distribution and altitude of ice-free land, at the Last Glacial Maximum (LGM), for use in LGM experiments conducted as part of the Coupled Modelling Intercomparison Project (CMIP5) and Palaeoclimate Modelling Intercomparison Project (PMIP3). The difference in the ice sheet boundary conditions as well as the climate response to them are discussed.
P. Beghin, S. Charbit, C. Dumas, M. Kageyama, and C. Ritz
Clim. Past, 11, 1467–1490, https://doi.org/10.5194/cp-11-1467-2015, https://doi.org/10.5194/cp-11-1467-2015, 2015
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The present study investigates the potential impact of the North American ice sheet on the surface mass balance of the Eurasian ice sheet through changes in the past glacial atmospheric circulation. Using an atmospheric circulation model and an ice-sheet model, we show that the albedo of the American ice sheet favors the growth of the Eurasian ice sheet, whereas the topography of the American ice sheet leads to more ablation over North Eurasia, and therefore to a smaller Eurasian ice sheet.
D. H. Urrego, M. F. Sánchez Goñi, A.-L. Daniau, S. Lechevrel, and V. Hanquiez
Clim. Past, 11, 1417–1431, https://doi.org/10.5194/cp-11-1417-2015, https://doi.org/10.5194/cp-11-1417-2015, 2015
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We present a new pollen-based palaeoclimatic reconstruction covering the period between 190,000 and 24,000 years ago from a marine sediment core located off the Namibian coast. Our work identifies increased dryness during the three warmest periods of the last interglacial involving atmospheric and oceanic reorganisations in southern Africa that are linked to precession minima.
D. Zhu, S. S. Peng, P. Ciais, N. Viovy, A. Druel, M. Kageyama, G. Krinner, P. Peylin, C. Ottlé, S. L. Piao, B. Poulter, D. Schepaschenko, and A. Shvidenko
Geosci. Model Dev., 8, 2263–2283, https://doi.org/10.5194/gmd-8-2263-2015, https://doi.org/10.5194/gmd-8-2263-2015, 2015
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This study presents a new parameterization of the vegetation dynamics module in the process-based ecosystem model ORCHIDEE for mid- to high-latitude regions, showing significant improvements in the modeled distribution of tree functional types north of 40°N. A new set of metrics is proposed to quantify the performance of ORCHIDEE, which integrates uncertainties in the observational data sets.
A. Cauquoin, A. Landais, G. M. Raisbeck, J. Jouzel, L. Bazin, M. Kageyama, J.-Y. Peterschmitt, M. Werner, E. Bard, and ASTER Team
Clim. Past, 11, 355–367, https://doi.org/10.5194/cp-11-355-2015, https://doi.org/10.5194/cp-11-355-2015, 2015
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We present a new 10Be record at EDC between 269 and 355ka. Our 10Be-based accumulation rate is in good agreement with the one associated with the EDC3 timescale except for the warm MIS 9.3 optimum. This suggests that temperature reconstruction from water isotopes may be underestimated by 2.4K for the difference between the MIS 9.3 and present day. The CMIP5-PMIP3 models do not quantitatively reproduce changes in precipitation vs. temperature increase during glacial–interglacial transitions.
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
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
C. Marzin, N. Kallel, M. Kageyama, J.-C. Duplessy, and P. Braconnot
Clim. Past, 9, 2135–2151, https://doi.org/10.5194/cp-9-2135-2013, https://doi.org/10.5194/cp-9-2135-2013, 2013
D. H. Urrego, M. F. Sánchez Goñi, A.-L. Daniau, S. Lechevrel, and V. Hanquiez
Clim. Past Discuss., https://doi.org/10.5194/cpd-9-4323-2013, https://doi.org/10.5194/cpd-9-4323-2013, 2013
Revised manuscript not accepted
A. Sima, M. Kageyama, D.-D. Rousseau, G. Ramstein, Y. Balkanski, P. Antoine, and C. Hatté
Clim. Past, 9, 1385–1402, https://doi.org/10.5194/cp-9-1385-2013, https://doi.org/10.5194/cp-9-1385-2013, 2013
S. Charbit, C. Dumas, M. Kageyama, D. M. Roche, and C. Ritz
The Cryosphere, 7, 681–698, https://doi.org/10.5194/tc-7-681-2013, https://doi.org/10.5194/tc-7-681-2013, 2013
M. Kageyama, U. Merkel, B. Otto-Bliesner, M. Prange, A. Abe-Ouchi, G. Lohmann, R. Ohgaito, D. M. Roche, J. Singarayer, D. Swingedouw, and X Zhang
Clim. Past, 9, 935–953, https://doi.org/10.5194/cp-9-935-2013, https://doi.org/10.5194/cp-9-935-2013, 2013
M.-N. Woillez, M. Kageyama, N. Combourieu-Nebout, and G. Krinner
Biogeosciences, 10, 1561–1582, https://doi.org/10.5194/bg-10-1561-2013, https://doi.org/10.5194/bg-10-1561-2013, 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
B. Ringeval, P. O. Hopcroft, P. J. Valdes, P. Ciais, G. Ramstein, A. J. Dolman, and M. Kageyama
Clim. Past, 9, 149–171, https://doi.org/10.5194/cp-9-149-2013, https://doi.org/10.5194/cp-9-149-2013, 2013
Related subject area
Subject: Climate Modelling | Archive: Modelling only | Timescale: Milankovitch
Large-ensemble simulations of the North American and Greenland ice sheets at the Last Glacial Maximum with a coupled atmospheric general circulation–ice sheet model
New estimation of critical insolation–CO2 relationship for triggering glacial inception
Antarctic climate response in Last-Interglacial simulations using the Community Earth System Model (CESM2)
Toward generalized Milankovitch theory (GMT)
Unraveling the complexities of the Last Glacial Maximum climate: the role of individual boundary conditions and forcings
Do phenomenological dynamical paleoclimate models have physical similarity with Nature? Seemingly, not all of them do
Deglacial climate changes as forced by different ice sheet reconstructions
The coupled system response to 250 years of freshwater forcing: Last Interglacial CMIP6–PMIP4 HadGEM3 simulations
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
Mending Milankovitch's theory: obliquity amplification by surface feedbacks
Megalake Chad impact on climate and vegetation during the late Pliocene and the mid-Holocene
Modeling the climatic implications and indicative senses of the Guliya δ18O-temperature proxy record to the ocean–atmosphere system during the past 130 ka
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
Sam Sherriff-Tadano, Ruza Ivanovic, Lauren Gregoire, Charlotte Lang, Niall Gandy, Jonathan Gregory, Tamsin L. Edwards, Oliver Pollard, and Robin S. Smith
Clim. Past, 20, 1489–1512, https://doi.org/10.5194/cp-20-1489-2024, https://doi.org/10.5194/cp-20-1489-2024, 2024
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Ensemble simulations of the climate and ice sheets of the Last Glacial Maximum (LGM) are performed with a new coupled climate–ice sheet model. Results show a strong sensitivity of the North American ice sheet to the albedo scheme, while the Greenland ice sheet appeared more sensitive to basal sliding schemes. Our result implies a potential connection between the North American ice sheet at the LGM and the future Greenland ice sheet through the albedo scheme.
Stefanie Talento, Matteo Willeit, and Andrey Ganopolski
Clim. Past, 20, 1349–1364, https://doi.org/10.5194/cp-20-1349-2024, https://doi.org/10.5194/cp-20-1349-2024, 2024
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To trigger glacial inception, the summer maximum insolation at high latitudes in the Northern Hemisphere must be lower than a critical value. This value is not constant but depends on the atmospheric CO2 concentration. Paleoclimatic data do not give enough information to derive the relationship between the critical threshold and CO2. However, knowledge of such a relation is important for predicting future glaciations and the impact anthropogenic CO2 emissions might have on them.
Mira Berdahl, Gunter R. Leguy, William H. Lipscomb, Bette L. Otto-Bliesner, Esther C. Brady, Robert A. Tomas, Nathan M. Urban, Ian Miller, Harriet Morgan, and Eric J. Steig
Clim. Past Discuss., https://doi.org/10.5194/cp-2024-19, https://doi.org/10.5194/cp-2024-19, 2024
Revised manuscript accepted for CP
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Studying climate conditions near the Antarctic ice sheet (AIS) during Earth’s past warm periods informs us about how global warming may influence AIS ice loss. Using a global climate model, we investigate climate conditions near the AIS during the Last Interglacial (129 to 116 kyr ago), a period with warmer global temperatures and higher sea level than today. We identify the orbital and freshwater forcings that could cause ice loss and probe the mechanisms that lead to warmer climate conditions.
Andrey Ganopolski
Clim. Past, 20, 151–185, https://doi.org/10.5194/cp-20-151-2024, https://doi.org/10.5194/cp-20-151-2024, 2024
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Despite significant progress in modelling Quaternary climate dynamics, a comprehensive theory of glacial cycles is still lacking. Here, using the results of model simulations and data analysis, I present a framework of the generalized Milankovitch theory (GMT), which further advances the concept proposed by Milutin Milankovitch over a century ago. The theory explains a number of facts which were not known during Milankovitch time's, such as the 100 kyr periodicity of the late Quaternary.
Xiaoxu Shi, Martin Werner, Hu Yang, Roberta D'Agostino, Jiping Liu, Chaoyuan Yang, and Gerrit Lohmann
Clim. Past, 19, 2157–2175, https://doi.org/10.5194/cp-19-2157-2023, https://doi.org/10.5194/cp-19-2157-2023, 2023
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The Last Glacial Maximum (LGM) marks the most recent extremely cold and dry time period of our planet. Using AWI-ESM, we quantify the relative importance of Earth's orbit, greenhouse gases (GHG) and ice sheets (IS) in determining the LGM climate. Our results suggest that both GHG and IS play important roles in shaping the LGM temperature. Continental ice sheets exert a major control on precipitation, atmospheric dynamics, and the intensity of El Niño–Southern Oscillation.
Mikhail Y. Verbitsky and Michel Crucifix
Clim. Past, 19, 1793–1803, https://doi.org/10.5194/cp-19-1793-2023, https://doi.org/10.5194/cp-19-1793-2023, 2023
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Are phenomenological dynamical paleoclimate models physically similar to Nature? We demonstrated that though they may be very accurate in reproducing empirical time series, this is not sufficient to claim physical similarity with Nature until similarity parameters are considered. We suggest that the diagnostics of physical similarity should become a standard procedure before a phenomenological model can be utilized for interpretations of historical records or future predictions.
Nathaelle Bouttes, Fanny Lhardy, Aurélien Quiquet, Didier Paillard, Hugues Goosse, and Didier M. Roche
Clim. Past, 19, 1027–1042, https://doi.org/10.5194/cp-19-1027-2023, https://doi.org/10.5194/cp-19-1027-2023, 2023
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The last deglaciation is a period of large warming from 21 000 to 9000 years ago, concomitant with ice sheet melting. Here, we evaluate the impact of different ice sheet reconstructions and different processes linked to their changes. Changes in bathymetry and coastlines, although not often accounted for, cannot be neglected. Ice sheet melt results in freshwater into the ocean with large effects on ocean circulation, but the timing cannot explain the observed abrupt climate changes.
Maria Vittoria Guarino, Louise C. Sime, Rachel Diamond, Jeff Ridley, and David Schroeder
Clim. Past, 19, 865–881, https://doi.org/10.5194/cp-19-865-2023, https://doi.org/10.5194/cp-19-865-2023, 2023
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We investigate the response of the atmosphere, ocean, and ice domains to the release of a large volume of glacial meltwaters thought to have occurred during the Last Interglacial period. We show that the signal that originated in the North Atlantic travels over great distances across the globe. It modifies the ocean gyre circulation in the Northern Hemisphere as well as the belt of westerly winds in the Southern Hemisphere, with consequences for Antarctic sea ice.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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
D. Xiao, P. Zhao, Y. Wang, and X. Zhou
Clim. Past, 9, 735–747, https://doi.org/10.5194/cp-9-735-2013, https://doi.org/10.5194/cp-9-735-2013, 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
Cited articles
Amante, C. and Eakins, B.: Etopo1–1 arc-minute global relief model: procdures, data sources and analysis, Technical report, National Geophysical Data Center, NESDIS, NOAA, US Department of Commerce, National Geophysical Data Center, Boulder, Colorado, 2008.
Archibald, S., David, R., Van Wilgen, B., and Scholes, R.: What limits fire? an examination of drivers of burnt area in southern africa, Global Change Biol., 15, 613–630, 2009.
Archibald, S., Scholes, R., Roy, D., Roberts, G., and Boschetti, L.: Southern African fire regimes as reaveled by remote sensing, J. Wildland Fire, 19, 861–878, 2010.
Archibald, S., Staver, A., and Levin, S.: Evolution of human-driven fire regimes in africa, Proc. Natl. Acad. Sci., 109, 847–852, 2012.
Argus, D. and Peltier, W.: Constraining models of postglacial rebound using space geodesy: a detailed assessment of model ICE-5G (VM2) and its relatives, Geophys. J. Int., 181, 697–723, 2010.
Banks, W., d'Errico, F., Townsend Peterson, A., Vanhaeren, M., Kageyama, M., Sepulchre, P., Ramstein, G., Jost, A., and Lunt, D.: Human ecological niches and ranges during the LGM in Europe derived from an application of eco-cultural niche modeling, J. Archeol. Sci., 35, 481–491, 2008.
Bond, W., Midgley, G., and Woodward, F.: The importance of low atmospheric CO2 and fire in promoting the spread of grasslands and savannas, Global Change Biol., 9, 973–982, 2003a.
Bond, W., Midgley, G., and Woodward, F.: What controls South African vegetation – climate or fire ?, South Afr. J. Botany, 69, 79–91, 2003b.
Braconnot, P. and Marti, O.: Impact of precession on monsoon characteristics from coupled ocean atmosphere experiments: changes in Indian monsoon and Indian ocean climatology, Mar. Geol., 1–3, 23–24, 2003.
Braconnot, P., Joussaume, S. de Noblet, N., and Ramstein, G.: Mid-Holocene and last glacial maximum African monsoon changes as simulated within the Paleoclimate modelling intercomparison project, Global Planet. Changes, 26, 51–66, 2000.
Cheng, M. and Qi, Y.: Frontal Rainfall-Rate Distribution and some conclusions on the threshold method, J. Appl. Meteorol., 41, 1128–1139, 2002.
Christian, H., Blakeslee, R., Boccippio, D., Boeck, W., Buechler, D., Driscoll, K., Goodman, S., Hall, J., Koshak, W., Mach, D., and Stewart, M.: Global frequency and distribution of lightning as observed from space by the optical transient detector, J. Geophys. Res.-Atmos. (1984–2012), 108, ACL4-1–ACL4-15, 2003.
Compo, G., Whitaker, J., Sardeshmukh, P., Matsui, N., Allan, R., Yin, X., Gleason, B., Vose, R., Rutledge, G., Bessemoulin, P., Brönnimann, S., Brunet, M., Crouthamel, R., Grant, A., Groisman, P., Jones, P., Kruk, M., Kruger, A., Marshall, G., Maugeri, M., Mok, H., Nordli, E., Ross, T., Trigo, R., Wang, X., Woodruff, S., and Worley, S.: The Twentieth Century Reanalysis Project, Q. J. Roy. Meteorol. Soc., 137 1–28, 2011.
Cowling, R., Richardson, D., and Pierce, S. (Eds.): Vegetation of Southern Africa, Cambridge University Press, 1997.
Daniau, A.-L., Sanchez-Goñi, M.-F., Beaufort, L., Laggoun-Défarge, F., Loutre, M.-F., and Duprat, J.: Dansgaard-Oeschger climatic variability revealed by fire emissions in southwestern Iberia, Quaternary Sci. Rev., 26, 1369–1383, 2007.
Daniau, A.-L., Sánchez-Go i, M.-F., Martinez, P., Urrego, D., Bout-Roumazeilles, V., Desprat, S., and Marlon, J. R.: Orbital-scale climate forcing of grassland burning in southern africa, Proc. Natl. Acad. Sci., 110, 5069–5073, 2013.
d'Errico, F. and Henshilwood, C.: Additional evidence for bone technology in the southern African middle stone age, J. Human Evolut., 52, 142–163, 2007.
Dufresne, J.-L., Foujols, M.-A., Denvil, S., Caubel, A., Marti, O., Aumont, O., Balkanski, Y., Bekki, S., Bellenger, H., Benshila, R., Bony, S., Bopp, L., Braconnot, P., Borckmann, P., Cadule, P., Cheruy, F., Codron, F., Cozic, A., Cugnet, D., de Noblet, N., Duvel, J.-P., Ethé, C., Fairhead, L., Fichefet, T., Flavoni, S., Friedlingstien, P., Grandpeix, J.-Y., Guez, L., Guilyardi, E., Hauglustaine, D., Hourdin, F., Idelkadi, A., Ghattas, J., Joussaume, S., Kageyama, M., Krinner, G., Labetoulle, S., Lahellec, A., Lefebvre, M.-P., Lefevre, F., Levy, C., Li, Z., Lloyd, J., Lott, F., Madec, G., Mancip, M., Marchand, M., Masson, S., Meurdesoif, Y., Mignot, J., Musat, I., Parouty, S., Polcher, J., Rio, C., Schultz, M., Swingedouw, D., Szopa, S., Talandier, C., Terray, P., Viovy, N., and Vuichard, N.: Climate change projections using the IPSL-CM5 Earth system model with an emphasis on changes between CMIP3 and CMIP5, Clim. Dynam., 40, 2123–2165, 2013.
Dupont, L.: Orbital scale vegetation change in Africa, Quaternary Sci. Rev., 30, 3589–3602, 2011.
Fichefet, T. and Morales-Maqueda, A.-M.: Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics, J. Geophys. Res., 102, 12609–12646, 1997.
Fichefet, T. and Morales-Maqueda, A.-M.: Modelling the influence of snow accumulation and snow-ice formation on the seasonal cycle of the antarctic sea-ice cover, Clim.e Dynam., 15, 251–268, 1999.
Gasse, F.: Hydrological changes in the African tropics since the Last Glacial Maximum, Quaternary Sci. Rev., 19, 189–211, 2000.
Giglio, L., Randerson, J. T., van der Werf, G. R., Kasibhatla, P. S., Collatz, G. J., Morton, D. C., and DeFries, R. S.: Assessing variability and long-term trends in burned area by merging multiple satellite fire products, Biogeosciences, 7, 1171–1186, https://doi.org/10.5194/bg-7-1171-2010, 2010.
Harrison, S. and Prentice, C.: Climate and CO}2 controls on global vegetation distribution at the last glacial maximum : analysis based on palaeovegetationdata, biome modelling and palaeoclimate simulations, {Global Change Biol., 9, 983–1004, 2003.
Hastie, T. and Tibshirani, R.: Generalized Additive Models, London: Chapman and Hall, 1990.
Henshilwood, C., d'Errico, F., Yates, R., Jacobs, Z., Tribolo, C., Duller, G., Mercier, N., Sealy, J., Valladas, H., Watts, I., and Wintle, A.: Emergence of modern human behavior: middle stone age engravings from South Africa, Science, 295, 1278–1280, 2002.
Henshilwood, C., d'Errico, F., and Watts, I.: Engraved ochres from the middle stone age levels at Blombos Cave. South Africa, J. Human Evolut., 57, 27–47, 2009.
Hourdin, F., Musat, I., Bony, S., Braconnot, P., Codron, F., Dufresne, J.-L., Fairhead, L., Filiberti, M.-A., Friedlingstein, P., Grandpeix, J.-Y., Krinner, G., LeVan, P., Li, Z., and Lott, F.: The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection, Clim. Dynam., 27, 787–813, 2006.
Jacobs, Z., Roberts, R., Galbraith, R., Deacon, H., Grün, R., Mackay, A., Mitchell, P., Vogelsang, R., and Wadley, L.: Ages for the middle Stone age of southern Africa: implications for human behavior and dispersal, Science, 322, 733–735, 2008.
Jolly, D. and Haxeltine, A.: Effect of low glacial atmospheric CO2 on tropical African montane vegetation, Science, 276, 786–788, 1997.
Kageyama, M., Mignot, J., Swingedouw, D., Marzin, C., Alkama, R., and Marti, O.: Glacial climate sensitivity to different states of the Atlantic Meridional Overturning Circulation: results from the IPSL model, Clim. Past, 5, 551–570, https://doi.org/10.5194/cp-5-551-2009, 2009.
Kageyama, M., braconnot, P., Bopp, L., Caubel, A., Foujols, M.-A., Guilyardi, E., Khodri, M., Lloyd, J., Lombard, F., Mariotti, V., Marti, O., Roy, T., and Woillez, M.-N.: Mid-Holocene and Last Glacial Maximum climate simulations with the IPSL model – part I: comparing IPSL_CM5A to IPSL_CM4. Clim. Dynam., 40, 2447–2468, 2013a.
Kageyama, M., Braconnot, P., Bopp, L., Mariotti, V., Roy, T., Woillez, M.-N., Caubel, A., Foujols, M.-A., Guilyardi, E., Khodri, M., Lloyd, J., Lombard, F., and Marti, O.: Mid-Holocene and Last Glacial Maximum climate simulations with the IPSL model: part II: model-data comparisons. Clim. Dynam., 40, 2469–2495, 2013b.
Köhler, P., Joos, F., Gerber, S., and Knutti, R.: Simulated changes in vegetation distribution, land carbon storage, and atmospheric CO2 in response to a collapse of the North Atlantic thermohaline circulation, Clim. Dynam., 25, 689–708, 2005.
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., J., O., Polcher, J., friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy., 19, GB1015, https://doi.org/10.1029/2003GB002199, 2005.
Kristen, I., Fuhrmann, A., Thorpe, J., Röhl, U., Wilkes, H., and Oberhänsli, H.: Hydrological changes in southern Africa over the last 200 Ka as recorded in lake sediments from the Tswaing impact crater, South Afr. J. Geol., 110, 311–326, 2007.
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, Astronom. Astrophys., 428, 261–285, 2004.
Levavasseur, G., Vrac, M., Roche, D. M., Paillard, D., Martin, A., and Vandenberghe, J.: Present and LGM permafrost from climate simulations: contribution of statistical downscaling, Clim. Past, 7, 1225–1246, https://doi.org/10.5194/cp-7-1225-2011, 2011.
Liu, Y., Stanturf, J., and Goodrick, S.: Trends in global wildfire potential in a changing climate, Forest Ecol. Manage., 259, 685–697, 2010.
Madec, G., Delecluse, P., Imbard, M., and Lévy, C.: OPA version 8.1 Ocean general circulation model reference manual, 91 pp., Number 11, Note du Pole de Modélisation, Institut Pierre-Simon Laplace, Institut Pierre Simon Laplace, France, 1998.
Martin, A., Vrac, M., Paillard, D., Dumas, C., and Kageyama, M.: Statistical-dynamical downscaling for Earth Models of Intermediate Complexity, submitted, 2011.
Marzin, C. and Braconnot, P.: The role of the ocean feedback on Asian and African monsoon variations at 6 kyr and 9.5 kyr BP, Compt. Rendus Geosci., 341, 643–655, 2009a.
Marzin, C. and Braconnot, P.: Variations of Indian and African monsoons induced by insolation changes at 6 and 9.5 kyr BP, Clim. Dynam., 33, 215–231, 2009b.
Masson, V., Braconnot, P., Jouzel, J., de Noblet, N., Cheddadi, R., and Marchal, O.: Simulation of intense monsoons under glacial conditions. Geophys. Res. Lett., 27, 1747–1750, 2000.
Mucina, L., Rutherford, M., and Powrie, L.: Vegetation Map of South Africa, Lesotho and Swaziland, 2nd Ed., South African National Biodiversity Institute Pretoria, 2007.
New, M., Lister, D., Hulme, M., and Makin, I.: A high-resolution data set of surface climate over global land areas, Clim. Res., 21, 1–25, 2002.
Oghaito, R. and Abe-Ouchi, A.: The role of ocean thermodynamics and dynamics in Asian summer monsoon changes during the Mid-Holocene, Clim. Dynam., 29, 39–50, 2007.
Partridge, T., Demenocal, P., Lorentz, S., Paiker, M., and Vogel, J.: Orbital forcing of climate over South Africa: a 200,000-year rainfall record from the Pretorian Saltpan, Quaternary Sci. Rev., 16, 1125–1133, 1997.
Petit, J., Jouzel, J., Raynaud, D., Barkov, N., Barnola, J., Basile, I., Bender, M., Chappellaz, J., Davis, M., Delaygue, G., Delmotte, M., Kotlyakov, V., Legrand, M., Lipenkov, V., Lorius, C., Pepin, L., Ritz, C., Saltzman, E., and Stievenard, M.: Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica, Nature, 399, 429–436, 1999.
Pfeiffer, M., Spessa, A., and Kaplan, J. O.: A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0), Geosci. Model Dev., 6, 643–685, https://doi.org/10.5194/gmd-6-643-2013, 2013.
Prentice, I. C. and Harrison, S. P.: Ecosystem effects of CO2 concentration: evidence from past climates, Clim. Past, 5, 297–307, https://doi.org/10.5194/cp-5-297-2009, 2009.
Rutherford, M.: Categorization of biomes, Vegetation of Southern Africa, Cambridge University Press, Cambridge, 91–98, ISBN 0-521-57142-1, 1997.
Saporta, G.: Probabilités, Analyse des données et statistiques, Editions Technip, 1990.
Scholes, R.: Savanna, in: Vegetation of Southern Africa, edited by: Cowling, R. M., Richardson, D. M., and Pierce, S. M., Cambridge University Press, Cambridge, UK, 258–277, 1997.
Schwartz, G.: Estimating the dimension of a model, The Ann. Statist., 6, 461–464, 1978.
Sitch, S., Smith, B., Prentice, I., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J., Levis, S., Lucht, W., Sykes, M., Thonicke, K., and Venevsky, S.: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model, Global Change Biol., 9, 161–185, 2003.
Spahni, R., Chappellaz, J., Stocker, T., Loulergue, L., Hausammann, G., Kawamura, K., Flückiger, J., Schwander, J., Raynaud, D., Masson-Delmotte, V., and Jouzel, J.: Atmospheric Methane and Nitrous Oxide of the Late Pleistocene from Antarctic Ice Cores, Science, 310, 1317–1321, 2005.
Thonicke, K., Spessa, A., Prentice, I. C., Harrison, S. P., Dong, L., and Carmona-Moreno, C.: The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model, Biogeosciences, 7, 1991–2011, https://doi.org/10.5194/bg-7-1991-2010, 2010.
Titshall, L., O'Connor, T., and Morris, C.: Effect of long-term exclusion of fire and herbivory on the soils and vegetation of sour grassveld, Afr. J. Range Forage Sci., 17, 70–80, 2000.
Townsend, J., Carroll, M., DiMiceli, C., Sohlberg, R., Hansen, M., and DeFries, R.: Vegetation Contiuous Fields MOD44B, [2001–2010] Percent Tree Cover, Collection 5, Version 1, University of Maryland, College Park, Maryland, 2001, downloaded 8 February 2013, provided on 0.05 degree Climate Modeling Grid in NetCDF by the Integrated Climate Data Center (ICDC, http://icdc.zmaw.de) University of Hamburg, Hamburg, Germany, 2011
Turner, R., Roberts, N., and Jones, M.: Climatic pacing of Mediterranean fire histories from lake sedimentary microcharcoal, Global Planet. Change, 63, 317–324, 2008.
Urrego, D., Sanchez-Goñi, M.-F., Daniau, A.-L., Lechevrel, S., and Hanquiez, V.: Increased aridity in southwestern africa during the last-interglacial warmest periods, in progress, 2013.
Valcke, S.: OASIS3 user guide (prism_2-5), PRISM report no 2. Tech. rep. TR/CMGC/06/73, CERFACS, Toulouse, France, 60, 2006.
Vrac, M., Marbaix, P., Paillard, D., and Naveau, P.: Non-linear statistical downscaling of present and LGM precipitation and temperatures over Europe, Clim. Past, 3, 669–682, https://doi.org/10.5194/cp-3-669-2007, 2007.
Waelbroeck, C., Labeyrie, L., Michel, E., Duplessy, J.-C., McManus, J., Lambeck, K., Balbon, E., and Labracherie, M.: Sea-level and deep water temperature changes derived from benthic foraminifera isotopic records, Quaternary Sci. Rev., 21, 295–305, 2002.
Wang, P., Clemens, S., Beaufort, L., Braconnot, P., Ganssen, G., Jian, Z., Kershaw, P., and Sarnthein, M.: Evolution and variability of the Asian monsoon system: state of the art and outstanding issues, Quaternary Sci. Rev., 24, 595–629, 2005.
Westfall, R., Everson, C., and Everson, T.: The vegetation of the protected plots at Thabamhlope Research Station, Afr. J. Botany, 2, 15–25, 1983.
White, F.: The vegetation of Africa: a descriptive memoir to accompany the Unesco/AETFAT/UNSO vegetation map of Africa, (Natural Resources Research: 20). Paris: United Nations Educational, Scientific and Cultural Organization, 356 p., 1983.
Wilby, R., Wigley, T., Conway, D., Jones, P., Hewitson, B., Main, J., and Wilks, D.: Statistical downscaling of general circulation model output: A comparison of methods, Water Resour. Res., 34, 2995–3008, 1998.
Woillez, M.-N., Kageyama, M., Krinner, G., de Noblet-Ducoudré, N., Viovy, N., and Mancip, M.: Impact of CO2 and climate on the Last Glacial Maximum vegetation: results from the ORCHIDEE/IPSL models, Clim. Past, 7, 557–577, https://doi.org/10.5194/cp-7-557-2011, 2011.
Woillez, M.-N., Kageyama, M., Combourieu-Nebout, N., and Krinner, G.: Simulating the vegetation response in western Europe to abrupt climate changes under glacial background conditions, Biogeosciences, 10, 1561–1582, https://doi.org/10.5194/bg-10-1561-2013, 2013.
Wood, S.: Generalized Additive Models: A introduction with R, Chapman and Hall/CRC Press, 2006.
Ziegler, M., Simon, M., Hall, I., Barker, S., Stringer, C., and Zahn, R.: Development of middle stone age innovation linked to rapid climate change, Nat. Commun., 4, 1905, https://doi.org/10.1038/ncomms2897, 2013.
