Preprints
https://doi.org/10.5194/gchron-2021-40
https://doi.org/10.5194/gchron-2021-40

  02 Dec 2021

02 Dec 2021

Review status: this preprint is currently under review for the journal GChron.

Improving age-depth correlations by using the LANDO model ensemble

Gregor Pfalz1,2,3,4, Bernhard Diekmann1,2, Johann-Christoph Freytag3,4, Liudmila Sryrkh5, Dmitry A. Subetto5,6, and Boris K. Biskaborn1,2 Gregor Pfalz et al.
  • 1Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Telegrafenberg A45, 14473 Potsdam, Germany
  • 2University of Potsdam, Institute of Geosciences, Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Germany
  • 3Einstein Center Digital Future, Robert-Koch-Forum, Wilhelmstraße 67, 10117 Berlin, Germany
  • 4Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany
  • 5Herzen State Pedagogical University of Russia, Moyka Emb. 48, St. Petersburg 191186, Russia
  • 6Institute for Water and Environmental Problems of the Siberian Branch of the Russian Academy of Sciences, Molodezhnayastr.1, Barnaul 656038, Russia

Abstract. Age-depth correlations are the key elements in paleoenvironmental studies to place proxy measurements into a temporal context. However, potential influencing factors of the available radiocarbon data and the associated modeling process can cause serious divergences of age-depth correlations from true chronologies, which is particularly challenging for paleolimnological studies in Arctic regions. This paper provides geoscientists with a tool-assisted approach to compare outputs from age-depth modeling systems and to strengthen the robustness of age-depth correlations. We primarily focused in the development on age determination data from a data collection of high latitude lake systems (50° N to 90° N, 62 sediment cores, and a total of 661 dating points). Our approach used five age-depth modeling systems (Bacon, Bchron, clam, hamstr, Undatable) that we linked through a multi-language Jupyter Notebook called LANDO (“Linked age and depth modeling”). Within LANDO we have implemented a pipeline from data integration to model comparison to allow users to investigate the outputs of the modeling systems. In this paper, we focused on highlighting three different case studies: comparing multiple modeling systems for one sediment core with a continuous, undisturbed succession of dating points (CS1 - “Undisturbed sequence”), for one sediment core with scattered dating points (CS2 - “Inconsistent sequence”), and for multiple sediment cores (CS3 - “Multiple cores”). For the first case study (CS1), we showed how we facilitate the output data from all modeling systems to create an ensemble age-depth model. In the special case of scattered dating points (CS2), we introduced an adapted method that uses independent proxy data to assess the performance of each modeling system in representing lithological changes. Based on this evaluation, we reproduced the characteristics of an existing age-depth model (Lake Ilirney, EN18208) without removing age determination data. For the multiple sediment core (CS3) we found that when considering the Pleistocene-Holocene transition, the main regime changes in sedimentation rates do not occur synchronously for all lakes. We linked this behavior to the uncertainty within the modeling process as well as the local variability of the sediment cores within the collection.

Gregor Pfalz et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gchron-2021-40', Bryan Lougheed, 04 Jan 2022
    • RC2: 'Reply on RC1', Bryan C. Lougheed, 09 Jan 2022
  • CC1: 'Comment on gchron-2021-40', Martin Melles, 08 Jan 2022
  • CC2: 'Comment on gchron-2021-40', Tim Heaton, 12 Jan 2022
  • RC3: 'Comment on gchron-2021-40', Timothy Heaton, 12 Jan 2022

Gregor Pfalz et al.

Gregor Pfalz et al.

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Short summary
We use age-depth modeling systems to understand the relationship between age and depth in lake sediment cores. However, depending on which modeling system we use, the model results may vary. We provide a tool to link different modeling systems in an interactive computational environment and make their results comparable. We demonstrate the power of our tool by highlighting three case studies in which we test our application for single sediment cores and a collection of multiple sediment cores.