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Quaternary Science Reviews
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Comment on “Quaternary glaciations: from observations to theories” by D. Paillard [Quat. Sci. Rev. 107 (2015), 11–24]

Authors: Bolshakov, Vyacheslav A.; Kuzmin, Yaroslav V.;

Comment on “Quaternary glaciations: from observations to theories” by D. Paillard [Quat. Sci. Rev. 107 (2015), 11–24]

Abstract

In the invited review by Paillard (2015), comprehensive information about both theoretical and empirical studies of Pleistocene glaciations and their causes are presented. D. Paillard's review concludes that Milankovitch, 1930 and Milankovitch, 1941 theory cannot explain the 100,000 yr periodicity of glaciations within the last one million years, and that an additional factor must be responsible for global climate fluctuations. According to Paillard (2015), changes in the carbon dioxide (CO2) content of the atmosphere are responsible. This statement radically alters the conventional viewpoint about the leading role of orbital variations on global Pleistocene climate (e.g., Hays et al., 1976). However, Paillard's (2015) conclusions cause serious objections. Furthermore, there are some inaccuracies in Paillard (2015) which lead to an incorrect representation of the development of orbital palaeoclimatic theory. This paradigm relates global climatic variations to orbital insolation variations, as put forward for example, by Adhemar, 1842 and Croll, 1875, and Milankovitch, 1930 and Milankovitch, 1941. In this Comment, we discuss the Paillard's (2015) viewpoints and their controversies.

Keywords

рецензии, четвертичные оледенения

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Average
Top 10%
Green