2014
DOI: 10.1038/sdata.2014.26
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An extended Arctic proxy temperature database for the past 2,000 years

Abstract: Robust climate reconstructions of the most recent centuries and millennia are invaluable for placing modern warming in the context of natural variability. Here we present an extended and revised database (version 1.1) of proxy temperature records recently used to reconstruct Arctic temperatures for the past 2,000 years. The datasets are presented in a machine-readable format, and have been extended with the geochronologic data and consistently generated time-uncertain ensembles, which will be useful in future … Show more

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Cited by 128 publications
(172 citation statements)
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References 68 publications
(90 reference statements)
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“…clusions reached previously in Shi et al (2012), Hanhijärvi et al (2013), andKaufmann (2014). At the same time, in contrast to other reconstructions (notably Hanhijärvi et al, 2013) the Roman times around the first and second century CE do not show up as particularly warm in the circum-Arctic mean, which is also reflected in the analyses presented in section 4.2.…”
contrasting
confidence: 42%
“…clusions reached previously in Shi et al (2012), Hanhijärvi et al (2013), andKaufmann (2014). At the same time, in contrast to other reconstructions (notably Hanhijärvi et al, 2013) the Roman times around the first and second century CE do not show up as particularly warm in the circum-Arctic mean, which is also reflected in the analyses presented in section 4.2.…”
contrasting
confidence: 42%
“…To compare global surface ocean and global land temperature trends, we calculate a terrestrial composite of nonmarine reconstructions 7,25 (Terrestrial 2k composite; Supplementary Section 9), ensuring that independent data sets are used to determine marine and terrestrial signals. The Terrestrial 2k composite shows a cooling trend qualitatively similar to the Ocean2k SST synthesis over the 801-1800 ce interval, the interval with the highest availability of SST reconstruction data and model simulations ( Fig.…”
Section: Comparisons With Simulations and Terrestrial Datamentioning
confidence: 99%
“…Most temperature reconstructions include different types of archives and proxies (Moberg et al, 2005;Mann et al, 2009;Kaufman et al, 2009;Ljungqvist, 2010;Marcott et al, 2013) and some studies focused on a single paleoclimate archive type and/or area (e.g., McGregor et al, 2015, for oceans;Weissbach et al, 2016, for ice core; Wilson et al, 2016, for tree rings). In the Arctic and subarctic area • N), several multi-proxy reconstructions of temperatures encompassing the last 2 millennia were published on a global (PAGES 2k Consortium, 2013;McKay and Kaufman, 2014;Werner et al, 2017) and regional scale (Hanhijärvi et al, 2013). The annual resolution of these reconstructions allows the study of the climate variability from low frequencies (i.e., millennial and multi-centennial fluctuations) to high frequencies such as decadal variations.…”
Section: Introductionmentioning
confidence: 99%