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Code in supplement to "Contrasting state-dependent effects of natural forcing on global and local climate variability"

Authors: Ellerhoff, Beatrice; Kirschner, Moritz J.; Ziegler, Elisa; Rehfeld, Kira;

Code in supplement to "Contrasting state-dependent effects of natural forcing on global and local climate variability"

Abstract

{"references": ["Rehfeld et al., Global patterns of declining temperature variability from the Last Glacial Maximum to the Holocene, Nature (2018) https://doi.org/10.1038/nature25454", "Rayner et al.. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century, Journal of Geophysical Research D: Atmospheres (2003) (downloaded latest version of HadISST dataset 11/2019)", "PAGES 2k Consortium, \"A global multiproxy database for temperature reconstructions of the Common Era.\" Scientific data 4 (2017).https://dx.doi.org/10.1038%2Fsdata.2017.88", "G. A. Schmidt et al., Climate forcing reconstructions for use in PMIP simulations of the Last Millennium (v1.1), Geoscientific Model Development (2012)", "T. J. Crowley and M. B. Unterman, Technical details concerning development of a 1200 yr proxy index for global volcanism, Earth System Science Data (2013)", "F. Steinhilber et al., Total solar irradiance during the Holocene, Geophysical Research Letters (2009)", "Y. Wang et al., Modeling the Sun's Magnetic Field and Irradiance since 1713, The Astrophysical Journal (2005)"]}

Financial support for this study was given by the Deutsche Forschungsgemeinschaft (DFG, projects 316076679 and 395588486), the German Federal Ministry of Education and Research (BMBF, grant no. 01LP1926C) and the Heinrich Böll Stiftung. Simulations were carried out using the ARCHER UK National Supercomputing Service (\url{http://www.archer.ac.uk}).

This repository provides data and code to reproduce the figures of "Contrasting state-dependent effects of natural forcing on global and local climate variability" (Ellerhoff et al., 2022) accepted in Geophysical Research Letters.

Related Organizations
Keywords

statistics, variability, climate

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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