Earth System Science Data (Sep 2020)

VARDA (VARved sediments DAtabase) – providing and connecting proxy data from annually laminated lake sediments

  • A. Ramisch,
  • A. Brauser,
  • M. Dorn,
  • C. Blanchet,
  • B. Brademann,
  • M. Köppl,
  • J. Mingram,
  • I. Neugebauer,
  • N. Nowaczyk,
  • F. Ott,
  • S. Pinkerneil,
  • B. Plessen,
  • M. J. Schwab,
  • R. Tjallingii,
  • A. Brauer

DOI
https://doi.org/10.5194/essd-12-2311-2020
Journal volume & issue
Vol. 12
pp. 2311 – 2332

Abstract

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Varved lake sediments provide climatic records with seasonal to annual resolution and low associated age uncertainty. Robust and detailed comparison of well-dated and annually laminated sediment records is crucial for reconstructing abrupt and regionally time-transgressive changes as well as validation of spatial and temporal trajectories of past climatic changes. The VARved sediments DAtabase (VARDA) presented here is the first data compilation for varve chronologies and associated palaeoclimatic proxy records. The current version 1.0 allows detailed comparison of published varve records from 95 lakes. VARDA is freely accessible and was created to assess outputs from climate models with high-resolution terrestrial palaeoclimatic proxies. VARDA additionally provides a technical environment that enables us to explore the database of varved lake sediments using a connected data model and can generate a state-of-the-art graphic representation of a multisite comparison. This allows the reassessment of existing chronologies and tephra events to synchronize and compare even distant varved lake records. Furthermore, the present version of VARDA permits the exploration of varve thickness data. In this paper, we report in detail on the data-mining and compilation strategies for the identification of varved lakes and assimilation of high-resolution chronologies, as well as the technical infrastructure of the database. Additional palaeoclimatic proxy data will be provided in forthcoming updates. The VARDA graph database and user interface can be accessed online at https://varve.gfz-potsdam.de (last access: 15 September 2020), all datasets of version 1.0 are available at https://doi.org/10.5880/GFZ.4.3.2019.003 (Ramisch et al., 2019).