Articles | Volume 16, issue 6
https://doi.org/10.5194/cp-16-2599-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-16-2599-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Dec 2020
Research article |
| 23 Dec 2020
| 23 Dec 2020
OPTiMAL: a new machine learning approach for GDGT-based palaeothermometry
Tom Dunkley Jones
CORRESPONDING AUTHOR
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
Yvette L. Eley
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
William Thomson
School of Mathematics, University of Birmingham, Edgbaston, B15 2TT, UK
Sarah E. Greene
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
Ilya Mandel
School of Physics and Astronomy, Monash University, Clayton, Vic.
3800, Australia
The ARC Centre of Excellence for Gravitational Wave Discovery –
OzGrav, Hawthorn, Australia
Birmingham Institute for Gravitational Wave Astronomy, School of
Physics and Astronomy, University of Birmingham, B15 2TT, Birmingham, UK
Kirsty Edgar
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
James A. Bendle
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
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Short summary
We explore the utiliity of the composition of fossil lipid biomarkers, which are commonly preserved in ancient marine sediments, in providing estimates of past ocean temperatures. The group of lipids concerned show compositional changes across the modern oceans that are correlated, to some extent, with local surface ocean temperatures. Here we present new machine learning approaches to improve our understanding of this temperature sensitivity and its application to reconstructing past climates.
We explore the utiliity of the composition of fossil lipid biomarkers, which are commonly...
