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


Fig. 6a. Growing Degree Days above 5C at 6ka
Fig. 6a. Growing Degree Days above 5°C at 6ka
Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis

Climate Dynamics
DOI: 10.1007/s00382-010-0904-1

Bartlein, P.J.1, S.P. Harrison2,3, S. Brewer4, S. Connor5, B.A.S. Davis6, K. Gajewski7, J. Guiot8, T.I. Harrison-Prentice9, A. Henderson10, O. Peyron11, I.C. Prentice3,12, M. Scholze12, H. Seppa13, B. Shuman14, S. Sugita15, R.S. Thompson16, A.E. Viau7, J. Williams17, and H. Wu18.
ABSTRACT:
Subfossil pollen and plant macrofossil data derived from 14C-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.
Download data from the WDC Paleo archive:
Data Description or entire data set in Excel format
Data files in netCDF or Comma Separated Values (CSV) format:
Mean Annual Temperature, 6kyrBP, netCDF or CSV
Mean Annual Temperature, 21kyrBP, netCDF or CSV
Mean Annual Precipitation, 6kyrBP, netCDF or CSV
Mean Annual Precipitation, 21kyrBP, netCDF or CSV
Mean Temperature Anomaly of the warmest month, 6kyrBP, netCDF or CSV
Mean Temperature Anomaly of the warmest month, 21kyrBP, netCDF or CSV
Mean Temperature Anomaly of the coldest month, 6kyrBP, netCDF or CSV
Mean Temperature Anomaly of the coldest month, 21kyrBP, netCDF or CSV
Growing Degree Days, above 5C base, Ann Mean, 6kyrBP, netCDF or CSV
Growing Degree Days, above 5C base, Ann Mean, 21kyrBP, netCDF or CSV
alpha (AE/PE, Actual/Potential Evapotranspiration), 6kyrBP, netCDF or CSV
alpha (AE/PE, Actual/Potential Evapotranspiration), 21kyrBP, netCDF or CSV

To read or view the full study, please visit the Springer website.
It was published in Climate Dynamics, DOI: 10.1007/s00382-010-0904-1
1 Department of Geography, University of Oregon, Eugene, Oregon, USA
2 School of Geographical Sciences, University of Bristol, Bristol, UK
3 School of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia
4 Botany Department, University of Wyoming, Wyoming 82071, USA
5 Centre for Marine and Environmental Research, University of the Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
6 School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
7 Department of Geography, University of Ottawa, Ottawa, ON K1N 6N5, Canada
8 CEREGE, BP 80, 13545 Aix-en-Provence cedex 4, France
9 GTZ, PAKLIM, Jl. D. I. Panjaitan Kav 24, Jakarta 13410, Indonesia
10 Department of Geology and Geophysics, University of Minnesota, Minneapolis, MN 55455, USA
11 Laboratoire Chrono-Environnement UMR 6249 CNRS-UFC UFR Sciences et Techniques, Besancon Cedex, France
12 QUEST, Department of Earth Sciences, University of Bristol, Bristol, UK
13 Department of Geology, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland
14 Department of Geology and Geophysics, University of Wyoming, Laramie, WY 82071, USA
15 Institute of Ecology, Tallinn University, Tallinn, Estonia
16 US Geological Survey, PO Box 25046, MS 919, Denver, CO, USA
17 Department of Geography, University of Wisconsin, Madison, WI 53706, USA
18 Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
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