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Manfred Mudelsee

Researcher at Alfred Wegener Institute for Polar and Marine Research

Publications -  117
Citations -  12722

Manfred Mudelsee is an academic researcher from Alfred Wegener Institute for Polar and Marine Research. The author has contributed to research in topics: Stalagmite & Monsoon. The author has an hindex of 50, co-authored 113 publications receiving 11473 citations. Previous affiliations of Manfred Mudelsee include University of Kiel & British Antarctic Survey.

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Redundancies in the Earth's climatological time series

TL;DR: In this article, the authors examined nonlinear coupling among a number of important climatological variables, d 13 C, d 18 O and insolation, using mutual information and redundancy.
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Inter-hemispheric synchroneity of Holocene precipitation anomalies controlled by Earth's latitudinal insolation gradients.

TL;DR: It is demonstrated that regional hydroclimates controlled by the Northern Hemisphere mid-latitude storm tracks and the African and South American Monsoons changed synchronously during the last 10 kyrs, arguing that these regional hydroclimate variations are connected and reflect the adjustment of the atmospheric poleward energy transport to the evolving differential heating of the Northern and Southern Hemispheres.
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Northern Hemisphere Glaciation, African climate and human evolution

TL;DR: A critical review of key publications on the topic and statistical re-analysis of key records of global ice volume and African climate leads to three conclusions: (1) The Northern Hemisphere Glaciation was a gradual process occurring between ∼3.5 and 2.5 Ma, not a single event at ∼2.8 Ma or at any other time as discussed by the authors.
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Plio-/Pleistocene climate modeling based on oxygen isotope time series from deep-sea sediment cores: The Grassberger-Procaccia algorithm and chaotic climate systems

TL;DR: In this paper, a modified Grassberger-Procaccaccia algorithm was used to estimate the correlation dimension of the Henon map (Henon map) for global Plio-/Pleistocene climate variability, and the nonlinear least squares Gauss-Marquardt regression method was used instead of the linear least squares fit to the logarithmically transformed points.
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Short note: CLIM-X-DETECT: A Fortran 90 program for robust detection of extremes against a time-dependent background in climate records

TL;DR: This work searches for peaks in the sulfate time series from a Greenland ice core, whereas the background and variability reflect changing oceanic and other input, which may be difficult when background signal and climatic variability are time-dependent.