4.6 Article

Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis

期刊

CLIMATE DYNAMICS
卷 37, 期 3-4, 页码 775-802

出版社

SPRINGER
DOI: 10.1007/s00382-010-0904-1

关键词

Pollen; Plant macrofossils; Palaeovegetation palaeoclimate reconstructions; Reconstruction uncertainties; Mid-Holocene; Last glacial maximum; Climate model evaluation

资金

  1. UK Natural Environment Research Council
  2. International Quaternary Association (INQUA) [0801]
  3. QUEST (Quantifying Uncertainties in the Earth System) programme
  4. US National Science Foundation
  5. Natural Sciences and Engineering Research Council of Canada (NSERC)
  6. Canadian Foundation for Climate and Atmospheric Sciences (CFCAS)
  7. Natural Environment Research Council [NE/F014600/1, quest010001] Funding Source: researchfish
  8. NERC [NE/F014600/1, quest010001] Funding Source: UKRI

向作者/读者索取更多资源

Subfossil pollen and plant macrofossil data derived from C-14-dated sediment profiles can provide quantitative information on glacial and interglacial climates. The data allow climate variables related to growing-season warmth, winter cold, and plant-available moisture to be reconstructed. Continental-scale reconstructions have been made for the mid-Holocene (MH, around 6 ka) and Last Glacial Maximum (LGM, around 21 ka), allowing comparison with palaeoclimate simulations currently being carried out as part of the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change. The synthesis of the available MH and LGM climate reconstructions and their uncertainties, obtained using modern-analogue, regression and model-inversion techniques, is presented for four temperature variables and two moisture variables. Reconstructions of the same variables based on surface-pollen assemblages are shown to be accurate and unbiased. Reconstructed LGM and MH climate anomaly patterns are coherent, consistent between variables, and robust with respect to the choice of technique. They support a conceptual model of the controls of Late Quaternary climate change whereby the first-order effects of orbital variations and greenhouse forcing on the seasonal cycle of temperature are predictably modified by responses of the atmospheric circulation and surface energy balance.

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