Articles | Volume 16, issue 2
https://doi.org/10.5194/cp-16-713-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-16-713-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dansgaard–Oeschger-like events of the penultimate climate cycle: the loess point of view
Denis-Didier Rousseau
CORRESPONDING AUTHOR
Laboratoire de Meteorologie Dynamique (CNRS and Institute Pierre Simon Laplace, IPSL), Ecole Normale Superieure, Paris Sciences & Lettres (PSL) Research University, 75005 Paris, France
Lamont Doherty Earth Observatory, Columbia University, New York, 10964, USA
Pierre Antoine
Laboratoire de Géographie Physique, Environnements quaternaires et actuels, CNRS, Meudon, France
Niklas Boers
Potsdam Institute for Climate Impact Research, Potsdam, Germany
France Lagroix
Institut de Physique du Globe de Paris, Sorbonne Paris Cité,
University Paris Diderot, UMR7154 CNRS, Paris, France
Michael Ghil
Laboratoire de Meteorologie Dynamique (CNRS and Institute Pierre Simon Laplace, IPSL), Ecole Normale Superieure, Paris Sciences & Lettres (PSL) Research University, 75005 Paris, France
Department of Atmospheric and Oceanic Sciences, University of
California, Los Angeles, CA 90095-1565, USA
Johanna Lomax
Department of Geography, Justus-Liebig-Universität Gießen,
Gießen, Germany
Markus Fuchs
Department of Geography, Justus-Liebig-Universität Gießen,
Gießen, Germany
Maxime Debret
Normandie University, UNIROUEN, UNICAEN, CNRS, M2C, Rouen, France
Christine Hatté
Laboratoire des Sciences du Climat et de l'Environnement,
Université Paris-Saclay, Gif-sur-Yvette, France
Olivier Moine
Laboratoire de Géographie Physique, Environnements quaternaires et actuels, CNRS, Meudon, France
Caroline Gauthier
Laboratoire des Sciences du Climat et de l'Environnement,
Université Paris-Saclay, Gif-sur-Yvette, France
Diana Jordanova
National Institute of Geophysics, Geodesy and Geography, Bulgarian
Academy of Sciences, Acad. G. Bonchev Str., Block 3, 1113, Sofia, Bulgaria
Neli Jordanova
National Institute of Geophysics, Geodesy and Geography, Bulgarian
Academy of Sciences, Acad. G. Bonchev Str., Block 3, 1113, Sofia, Bulgaria
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Dominik Faust and Markus Fuchs
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Denis-Didier Rousseau
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Kim H. Stadelmaier, Patrick Ludwig, Pascal Bertran, Pierre Antoine, Xiaoxu Shi, Gerrit Lohmann, and Joaquim G. Pinto
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Eviatar Bach and Michael Ghil
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2021-35, https://doi.org/10.5194/npg-2021-35, 2021
Preprint withdrawn
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Data assimilation (DA) is the process of combining model forecasts with observations in order to provide an optimal estimate of the system state. When models are imperfect, the uncertainty in the forecasts may be underestimated, requiring inflation of the corresponding error covariance. Here, we present a simple method for estimating the magnitude and structure of the model error covariance matrix. We demonstrate the efficacy of this method with idealized experiments.
Keno Riechers and Niklas Boers
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Greenland ice core data show that the last glacial cycle was punctuated by a series of abrupt climate shifts comprising significant warming over Greenland, retreat of North Atlantic sea ice, and atmospheric reorganization. Statistical analysis of multi-proxy records reveals no systematic lead or lag between the transitions of proxies that represent different climatic subsystems, and hence no evidence for a potential trigger of these so-called Dansgaard–Oeschger events can be found.
Sascha Scherer, Benjamin Höpfer, Katleen Deckers, Elske Fischer, Markus Fuchs, Ellen Kandeler, Jutta Lechterbeck, Eva Lehndorff, Johanna Lomax, Sven Marhan, Elena Marinova, Julia Meister, Christian Poll, Humay Rahimova, Manfred Rösch, Kristen Wroth, Julia Zastrow, Thomas Knopf, Thomas Scholten, and Peter Kühn
SOIL, 7, 269–304, https://doi.org/10.5194/soil-7-269-2021, https://doi.org/10.5194/soil-7-269-2021, 2021
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This paper aims to reconstruct Middle Bronze Age (MBA) land use practices in the northwestern Alpine foreland (SW Germany, Hegau). We used a multi-proxy approach including biogeochemical proxies from colluvial deposits in the surroundings of a MBA settlement, on-site archaeobotanical and zooarchaeological data and off-site pollen data. From our data we infer land use practices such as plowing, cereal growth, forest farming and use of fire that marked the beginning of major colluvial deposition.
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Short summary
New investigations of European loess records from MIS 6 reveal the occurrence of paleosols and horizon showing slight pedogenesis similar to those from the last climatic cycle. These units are correlated with interstadials described in various marine, continental, and ice Northern Hemisphere records. Therefore, these MIS 6 interstadials can confidently be interpreted as DO-like events of the penultimate climate cycle.
New investigations of European loess records from MIS 6 reveal the occurrence of paleosols and...