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Danny McCarroll

Researcher at Swansea University

Publications -  157
Citations -  10061

Danny McCarroll is an academic researcher from Swansea University. The author has contributed to research in topics: Ice sheet & Dendrochronology. The author has an hindex of 53, co-authored 155 publications receiving 9018 citations. Previous affiliations of Danny McCarroll include University of Wales & University of Southampton.

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Stable isotopes in tree rings.

TL;DR: In this article, the authors provide an overview of isotope dendroclimatology, explaining the underlying theory and describing the steps taken in building and interpreting isotope chronologies.
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Continental-scale temperature variability during the past two millennia

Moinuddin Ahmed, +86 more
- 21 Apr 2013 - 
TL;DR: The authors reconstructed past temperatures for seven continental-scale regions during the past one to two millennia and found that the most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century.
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Comparison of stable carbon isotope ratios in the whole wood, cellulose and lignin of oak tree-rings

TL;DR: The stable carbon isotope ratios (δ13C) of whole wood, cellulose and acid-insoluble lignin from annual latewood increments of Quercus robur L, from modern and sub-fossil wood, were measured and their potential use as palaeoenvironmental indicators examined.
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European summer temperatures since Roman times

TL;DR: In this paper, a new proxy-based, annually-resolved, spatial reconstruction of the European summer (June-August) temperature fields back to 755 CE based on Bayesian hierarchical modeling (BHM), together with estimates of European mean temperature variation since 138 BCE based on BHM and composite-plus-scaling (CPS).
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Correction of tree ring stable carbon isotope chronologies for changes in the carbon dioxide content of the atmosphere

TL;DR: In this paper, the authors proposed a correction procedure that attempts to calculate the δ13C values that would have been obtained under pre-industrial conditions using nonlinear regression, but the magnitude of the adjustment made is restricted by two logical constraints based on the physiological response of trees.