Articles | Volume 9, issue 5
https://doi.org/10.5194/cp-9-2213-2013
© 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-9-2213-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Sep 2013
Research article |
| 26 Sep 2013
Major dust events in Europe during marine isotope stage 5 (130–74 ka): a climatic interpretation of the "markers"
D.-D. Rousseau
Ecole Normale Supérieure, Laboratoire de Météorologie Dynamique, UMR8539 CNRS, & CERES-ERTI, 24 rue Lhomond, 75231 Paris cedex 05, France
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY 10964, USA
Ecole Normale Supérieure, Laboratoire de Météorologie Dynamique, UMR8539 CNRS, & CERES-ERTI, 24 rue Lhomond, 75231 Paris cedex 05, France
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA 90095-1565, USA
Institute of Geophysics and Planetary Physics, University of California, Los Angeles, CA 90095-1567, USA
G. Kukla
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY 10964, USA
Ecole Normale Supérieure, Laboratoire de Météorologie Dynamique, UMR8539 CNRS, & CERES-ERTI, 24 rue Lhomond, 75231 Paris cedex 05, France
P. Antoine
Laboratoire de Géographie Physique, UMR8591 CNRS, 1 place Aristide Briand, 92195 Meudon, France
M. Fuchs
Department of Geography, Justus-Liebig-University Giessen, 35390 Giessen, Germany
Laboratoire des Sciences du Climat et de l'Environement, UMR8212 CEA-CNRS-UVSQ, Domaine du CNRS, 91198 Gif-sur-Yvette, France
F. Lagroix
Institut de Physique du Globe de Paris, Sorbonne Paris Cité, University Paris Diderot, UMR7154 CNRS, 75005 Paris, France
M. Debret
Ecole Normale Supérieure, Laboratoire de Météorologie Dynamique, UMR8539 CNRS, & CERES-ERTI, 24 rue Lhomond, 75231 Paris cedex 05, France
now at: Morphodynamique Continentale et Côtière, UMR6143 CNRS, University of Rouen, 76821 Mont-Saint-Aignan Cedex, France
O. Moine
Laboratoire de Géographie Physique, UMR8591 CNRS, 1 place Aristide Briand, 92195 Meudon, France
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The role of soil carbon in climate dynamics becomes one of the major uncertainties in land surface models. This work is a presentation of a new version of the land surface model called ORCHIDEE incorporating the radiocarbon (14C) used as integrator of the soil carbon dynamics. It has been possible to highlight an underestimation of the age of carbon in the soil and that model improvements should focus more on a depth-dependent parameterization mainly for the diffusion.
Stefano Pierini, Mickaël D. Chekroun, and Michael Ghil
Nonlin. Processes Geophys., 25, 671–692, https://doi.org/10.5194/npg-25-671-2018, https://doi.org/10.5194/npg-25-671-2018, 2018
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A four-dimensional nonlinear spectral ocean model is used to study the transition to chaos induced by periodic forcing in systems that are nonchaotic in the autonomous limit. The analysis makes use of ensemble simulations and of the system's pullback attractors. A new diagnostic method characterizes the transition to chaos: this is found to occur abruptly at a critical value and begins with the intermittent emergence of periodic oscillations with distinct phases.
Markus Fuchs
DEUQUA Spec. Pub., 1, 1–2, https://doi.org/10.5194/deuquasp-1-1-2018, https://doi.org/10.5194/deuquasp-1-1-2018, 2018
Johanna Lomax, Raphael Steup, Lyudmila Shumilovskikh, Christian Hoselmann, Daniela Sauer, Veit van Diedenhoven, and Markus Fuchs
DEUQUA Spec. Pub., 1, 15–28, https://doi.org/10.5194/deuquasp-1-15-2018, https://doi.org/10.5194/deuquasp-1-15-2018, 2018
Hans W. Linderholm, Marie Nicolle, Pierre Francus, Konrad Gajewski, Samuli Helama, Atte Korhola, Olga Solomina, Zicheng Yu, Peng Zhang, William J. D'Andrea, Maxime Debret, Dmitry V. Divine, Björn E. Gunnarson, Neil J. Loader, Nicolas Massei, Kristina Seftigen, Elizabeth K. Thomas, Johannes Werner, Sofia Andersson, Annika Berntsson, Tomi P. Luoto, Liisa Nevalainen, Saija Saarni, and Minna Väliranta
Clim. Past, 14, 473–514, https://doi.org/10.5194/cp-14-473-2018, https://doi.org/10.5194/cp-14-473-2018, 2018
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This paper reviews the current knowledge of Arctic hydroclimate variability during the past 2000 years. We discuss the current state, look into the future, and describe various archives and proxies used to infer past hydroclimate variability. We also provide regional overviews and discuss the potential of furthering our understanding of Arctic hydroclimate in the past. This paper summarises the hydroclimate-related activities of the Arctic 2k group.
Niklas Boers, Mickael D. Chekroun, Honghu Liu, Dmitri Kondrashov, Denis-Didier Rousseau, Anders Svensson, Matthias Bigler, and Michael Ghil
Earth Syst. Dynam., 8, 1171–1190, https://doi.org/10.5194/esd-8-1171-2017, https://doi.org/10.5194/esd-8-1171-2017, 2017
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We use a Bayesian approach for inferring inverse, stochastic–dynamic models from northern Greenland (NGRIP) oxygen and dust records of subdecadal resolution for the interval 59 to 22 ka b2k. Our model reproduces the statistical and dynamical characteristics of the records, including the Dansgaard–Oeschger variability, with no need for external forcing. The crucial ingredients are cubic drift terms, nonlinear coupling terms between the oxygen and dust time series, and non-Markovian contributions.
Denis-Didier Rousseau, Anders Svensson, Matthias Bigler, Adriana Sima, Jorgen Peder Steffensen, and Niklas Boers
Clim. Past, 13, 1181–1197, https://doi.org/10.5194/cp-13-1181-2017, https://doi.org/10.5194/cp-13-1181-2017, 2017
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We show that the analysis of δ18O and dust in the Greenland ice cores, and a critical study of their source variations, reconciles these records with those observed on the Eurasian continent. We demonstrate the link between European and Chinese loess sequences, dust records in Greenland, and variations in the North Atlantic sea ice extent. The sources of the emitted and transported dust material are variable and relate to different environments.
Niklas Boers, Bedartha Goswami, and Michael Ghil
Clim. Past, 13, 1169–1180, https://doi.org/10.5194/cp-13-1169-2017, https://doi.org/10.5194/cp-13-1169-2017, 2017
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We introduce a Bayesian framework to represent layer-counted proxy records as probability distributions on error-free time axes, accounting for both proxy and dating errors. Our method is applied to NGRIP δ18O data, revealing that the cumulative dating errors lead to substantial uncertainties for the older parts of the record. Applying our method to the widely used radiocarbon comparison curve derived from varved sediments of Lake Suigetsu provides the complete uncertainties of this curve.
Keroboto B. Z. Ogutu, Fabio D'Andrea, Michael Ghil, and Charles Nyandwi
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2016-64, https://doi.org/10.5194/esd-2016-64, 2017
Preprint retracted
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The CoCEB model is used to evaluate hypotheses on the long-term effect of investment in emission abatement, and on the comparative efficacy of different approaches to abatement. While many studies in the literature treat abatement costs as an unproductive loss of income, we show that mitigation costs do slow down economic growth over the next few decades, but only up to the mid-21st century or even earlier; growth reduction is compensated later on by having avoided climate negative impacts.
Alexia Paul, Christine Hatté, Lucie Pastor, Yves Thiry, Françoise Siclet, and Jérôme Balesdent
Biogeosciences, 13, 6587–6598, https://doi.org/10.5194/bg-13-6587-2016, https://doi.org/10.5194/bg-13-6587-2016, 2016
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The terrestrial environment has been affected by tritium contamination. There is a need to assess the dynamics of organic hydrogen in soils in order to predict the fate of tritium. In the present study we traced carbon and hydrogen from plant-derived molecules and hydrogen from water in different soil types. The main findings of the work are that water is the main donor of organic hydrogen and the long-term fate of hydrogen (and tritium) will depend on the status of soil carbon dynamics.
J. Rombouts and M. Ghil
Nonlin. Processes Geophys., 22, 275–288, https://doi.org/10.5194/npg-22-275-2015, https://doi.org/10.5194/npg-22-275-2015, 2015
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Our conceptual model describes global temperature and vegetation extent. We use elements from Daisyworld and classical energy balance models and add an ocean with sea ice. The model exhibits oscillatory behavior within a plausible range of parameter values.
Its periodic solutions have sawtooth behavior that is characteristic of relaxation oscillations, as well as suggestive of Quaternary glaciation cycles. The model is one of the simplest of its kind to produce such oscillatory behavior.
É. Boucher, J. Guiot, C. Hatté, V. Daux, P.-A. Danis, and P. Dussouillez
Biogeosciences, 11, 3245–3258, https://doi.org/10.5194/bg-11-3245-2014, https://doi.org/10.5194/bg-11-3245-2014, 2014
M. Magny, N. Combourieu-Nebout, J. L. de Beaulieu, V. Bout-Roumazeilles, D. Colombaroli, S. Desprat, A. Francke, S. Joannin, E. Ortu, O. Peyron, M. Revel, L. Sadori, G. Siani, M. A. Sicre, S. Samartin, A. Simonneau, W. Tinner, B. Vannière, B. Wagner, G. Zanchetta, F. Anselmetti, E. Brugiapaglia, E. Chapron, M. Debret, M. Desmet, J. Didier, L. Essallami, D. Galop, A. Gilli, J. N. Haas, N. Kallel, L. Millet, A. Stock, J. L. Turon, and S. Wirth
Clim. Past, 9, 2043–2071, https://doi.org/10.5194/cp-9-2043-2013, https://doi.org/10.5194/cp-9-2043-2013, 2013
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
C. Hatté, C. Gauthier, D.-D. Rousseau, P. Antoine, M. Fuchs, F. Lagroix, S. B. Marković, O. Moine, and A. Sima
Clim. Past, 9, 1001–1014, https://doi.org/10.5194/cp-9-1001-2013, https://doi.org/10.5194/cp-9-1001-2013, 2013
J. Dabkowski, J. Andrews, P. Antoine, and A. Marca-Bell
Clim. Past Discuss., https://doi.org/10.5194/cpd-9-1657-2013, https://doi.org/10.5194/cpd-9-1657-2013, 2013
Revised manuscript not accepted
Related subject area
Subject: Atmospheric Dynamics | Archive: Terrestrial Archives | Timescale: Millenial/D-O
Reconstruction of warm season temperatures in central Europe during the past 60,000 years from lacustrine GDGTs
Multiscale monsoon variability during the last two climatic cycles revealed by spectral signals in Chinese loess and speleothem records
Interhemispheric gradient of atmospheric radiocarbon reveals natural variability of Southern Ocean winds
North Atlantic abrupt climatic events of the last glacial period recorded in Ukrainian loess deposits
Paul D. Zander, Daniel Böhl, Frank Sirocko, Alexandra Auderset, Gerald Haug, and Alfredo Martínez-García
EGUsphere, https://doi.org/10.5194/egusphere-2023-1960, https://doi.org/10.5194/egusphere-2023-1960, 2023
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Bacterial lipids (branched glycerol dialkyl glycerol tetraethers; brGDGTs) extracted from lake sediments were used to reconstruct warm-season temperatures in central Europe during the past 60 kyr. Modern samples were used to test and correct for bias related to varying sources of brGDGTs. The temperature reconstruction is significantly correlated with other temperature reconstructions but features less millennial-scale variability, which is attributed to the seasonal signal of the proxy.
Y. Li, N. Su, L. Liang, L. Ma, Y. Yan, and Y. Sun
Clim. Past, 11, 1067–1075, https://doi.org/10.5194/cp-11-1067-2015, https://doi.org/10.5194/cp-11-1067-2015, 2015
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Multiscale signals were decomposed from Chinese loess and speleothem records over the last 260 kyr. We found great glacial and orbital impacts on the loess grain size changes and dominant precession forcing in the speleothem δ18O variability. The millennial components are evident in the loess and speleothem proxies with variances of 13 and 17%. Close matches of millennial monsoon events between these two proxies indicate similar driving force linked to high-latitude Northern Hemisphere climate.
K. B. Rodgers, S. E. Mikaloff-Fletcher, D. Bianchi, C. Beaulieu, E. D. Galbraith, A. Gnanadesikan, A. G. Hogg, D. Iudicone, B. R. Lintner, T. Naegler, P. J. Reimer, J. L. Sarmiento, and R. D. Slater
Clim. Past, 7, 1123–1138, https://doi.org/10.5194/cp-7-1123-2011, https://doi.org/10.5194/cp-7-1123-2011, 2011
D.-D. Rousseau, P. Antoine, N. Gerasimenko, A. Sima, M. Fuchs, C. Hatté, O. Moine, and L. Zoeller
Clim. Past, 7, 221–234, https://doi.org/10.5194/cp-7-221-2011, https://doi.org/10.5194/cp-7-221-2011, 2011
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