4.7 Article

Winter temperature conditions (1670-2010) reconstructed from varved sediments, western Canadian High Arctic

Journal

QUATERNARY SCIENCE REVIEWS
Volume 172, Issue -, Pages 1-14

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.quascirev.2017.07.013

Keywords

Lake sediments; Snow melt; Winter climate; Climate change; Sedimentology; Paleoclimatology

Funding

  1. Swiss National Science Foundation [P2BEP2_162029]
  2. NSERC/CRSNS [2015-05276]
  3. Swiss National Science Foundation (SNF) [P2BEP2_162029] Funding Source: Swiss National Science Foundation (SNF)

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Advances in paleoclimatology from the Arctic have provided insights into long-term climate conditions. However, while past annual and summer temperature have received considerable research attention, comparatively little is known about winter paleoclimate. Arctic winter is of special interest as it is the season with the highest sensitivity to climate change, and because it differs substantially from summer and annual measures. Therefore, information about past changes in winter climate is key to improve our knowledge of past forced climate variability and to reduce uncertainty in climate projections. In this context, Arctic lakes with snowmelt-fed catchments are excellent potential winter climate archives. They respond strongly to snowmelt-induced runoff, and indirectly to winter temperature and snowfall conditions. To date, only a few well-calibrated lake sediment records exist, which appear to reflect site specific responses with differing reconstructions. This limits the possibility to resolve large-scale winter climate change prior the instrumental period. Here, we present a well-calibrated quantitative temperature and snowfall record for the extended winter season (November through March; NDJFM) from Chevalier Bay (Melville Island, NWT, Canadian Arctic) back to CE 1670. The coastal embayment has a large catchment influenced by nival terrestrial processes, which leads to high sedimentation rates and annual sedimentary structures (varves). Using detailed microstratigraphic analysis from two sediment cores and supported by R-XRF data, we separated the nival sedimentary units (spring snowmelt) from the rainfall units (summer) and identified subaqueous slumps. Statistical correlation analysis between the proxy data and monthly climate variables reveals that the thickness of the nival units can be used to predict winter temperature (r = 0.71, Pc < 0.01, 5-yr filter) and snowfall (r = 0.65, pc < 0.01, 5-yr filter) for the western Canadian High Arctic over the last ca. 400 years. Results reveal a strong variability in winter temperature back to CE 1670 with the coldest decades reconstructed for the period CE 1800-1880, while the warmest decades and major trends are reconstructed for the period CE 1880-1930 (0.26 degrees C/decade) and CE 1970-2010 (037 degrees C/decade). Although the first aim of this study was to increase the paleoclimate data coverage for the winter season, the record from Chevalier Bay also holds great potential for more applied climate research such as data-model comparisons and proxy data assimilation in climate model simulations. (C) 2017 Elsevier Ltd. All rights reserved.

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