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Discussion papers
https://doi.org/10.5194/essd-2019-223
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-223
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 02 Jan 2020

Submitted as: data description paper | 02 Jan 2020

Review status
A revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PALMOD 130k marine palaeoclimate data synthesis

Lukas Jonkers1, Olivier Cartapanis2, Michael Langner1, Nick McKay3, Stefan Mulitza1, Anne Strack1, and Michal Kucera1 Lukas Jonkers et al.
  • 1MARUM - center for marine environmental sciences. University of Bremen, Bremen, Germany
  • 2Institute of Geological Sciences and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
  • 3School of Earth & Sustainability, Northern Arizona University, Flagstaff, USA

Abstract. Palaeoclimate data hold the unique promise of providing a long-term perspective on climate change and as such can serve as an important benchmark for climate models. However, palaeoclimate data have generally been archived with insufficient standardisation and metadata to allow for transparent and consistent uncertainty assessment in an automated way. Thanks to improved computation capacity, transient palaeoclimate simulations are now possible, calling for data products containing multiparameter time series rather than information on a single parameter for a single time slice. Efforts are underway to simulate a complete glacial-interglacial cycle using general circulation models (palmod.de) and to confront these simulations with palaeoclimate data, we have compiled a multi-parameter marine palaeoclimate data synthesis that contains time series spanning 0 to 130,000 years ago. We present the first version of the data product that focuses exclusively on time series for which a robust chronology based on benthic foraminifera δ18O and radiocarbon dating is available. The product contains 896 time series of eight palaeoclimate parameters from 143 individual sites, each associated with rich metadata, age-depth model ensembles and information to refine and update the chronologies. This version contains 205 time series of benthic foraminifera δ18O, 169 of benthic foraminifera δ13C, 131 of seawater temperature, 174 and 119 of planktonic foraminifera δ18O and δ13C and 44, 38 and 16 of carbonate, organic carbon and biogenic silica content, respectively. The data product is available in three formats (R, LiPD and netCDF) facilitating use across different software and operating systems and can be downloaded at https://doi.pangaea.de/10.1594/PANGAEA.908831 (Jonkers et al., 2019). This data descriptor presents our data synthesis strategy and describes the contents and format of the data product in detail. It ends with a set of recommendations for data archiving.

Lukas Jonkers et al.

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Interactive discussion

Status: closed
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Lukas Jonkers et al.

Data sets

PALMOD 130k marine palaeoclimate data synthesis V1.0 L.Jonkers, O. Cartapanis, M. Langner, N. McKay, S. Mulitza, A. Strack, M. Kucera https://doi.org/10.1594/PANGAEA.908831

Lukas Jonkers et al.

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