Climate Sensitivity Estimated from Temperature Reconstructions of the Last Glacial Maximum

被引:170
作者
Schmittner, Andreas [1 ]
Urban, Nathan M. [2 ]
Shakun, Jeremy D. [3 ]
Mahowald, Natalie M. [4 ]
Clark, Peter U. [5 ]
Bartlein, Patrick J. [6 ]
Mix, Alan C. [1 ]
Rosell-Mele, Antoni [7 ,8 ]
机构
[1] Oregon State Univ, Coll Ocean & Atmospher Sci, Corvallis, OR 97331 USA
[2] Princeton Univ, Woodrow Wilson Sch Publ & Int Affairs, Princeton, NJ 08544 USA
[3] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
[4] Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14850 USA
[5] Oregon State Univ, Dept Geosci, Corvallis, OR 97331 USA
[6] Univ Oregon, Dept Geog, Eugene, OR 97403 USA
[7] Autonomous Univ Barcelona, Inst Catalana Recerca & Estudis Avancats, Bellaterra, Spain
[8] Autonomous Univ Barcelona, Inst Environm Sci & Technol, Bellaterra, Spain
基金
美国国家科学基金会;
关键词
MODEL; CO2;
D O I
10.1126/science.1203513
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Assessing the impact of future anthropogenic carbon emissions is currently impeded by uncertainties in our knowledge of equilibrium climate sensitivity to atmospheric carbon dioxide doubling. Previous studies suggest 3 kelvin (K) as the best estimate, 2 to 4.5 K as the 66% probability range, and nonzero probabilities for much higher values, the latter implying a small chance of high-impact climate changes that would be difficult to avoid. Here, combining extensive sea and land surface temperature reconstructions from the Last Glacial Maximum with climate model simulations, we estimate a lower median (2.3 K) and reduced uncertainty (1.7 to 2.6 K as the 66% probability range, which can be widened using alternate assumptions or data subsets). Assuming that paleoclimatic constraints apply to the future, as predicted by our model, these results imply a lower probability of imminent extreme climatic change than previously thought.
引用
收藏
页码:1385 / 1388
页数:4
相关论文
共 30 条
  • [1] Objective estimation of the probability density function for climate sensitivity
    Andronova, NG
    Schlesinger, ME
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D19) : 22605 - 22611
  • [2] Using multiple observationally-based constraints to estimate climate sensitivity
    Annan, JD
    Hargreaves, JC
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (06)
  • [3] [Anonymous], 1979, CARBON DIOXIDE CLIMA, DOI DOI 10.17226/12181
  • [4] Meta-analysis of tropical surface temperatures during the Last Glacial Maximum
    Ballantyne, AP
    Lavine, M
    Crowley, TJ
    Liu, J
    Baker, PB
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (05) : 1 - 4
  • [5] Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis
    Bartlein, P. J.
    Harrison, S. P.
    Brewer, S.
    Connor, S.
    Davis, B. A. S.
    Gajewski, K.
    Guiot, J.
    Harrison-Prentice, T. I.
    Henderson, A.
    Peyron, O.
    Prentice, I. C.
    Scholze, M.
    Seppa, H.
    Shuman, B.
    Sugita, S.
    Thompson, R. S.
    Viau, A. E.
    Williams, J.
    Wu, H.
    [J]. CLIMATE DYNAMICS, 2011, 37 (3-4) : 775 - 802
  • [6] A new method to estimate ice age temperatures
    Bintanja, R
    van de Wal, RSW
    Oerlemans, J
    [J]. CLIMATE DYNAMICS, 2005, 24 (2-3) : 197 - 211
  • [7] EFFECT OF SOLAR RADIATION VARIATIONS ON CLIMATE OF EARTH
    BUDYKO, MI
    [J]. TELLUS, 1969, 21 (05): : 611 - &
  • [8] Does the Last Glacial Maximum constrain climate sensitivity?
    Crucifix, M.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (18)
  • [9] Constraining climate model parameters from observed 20th century changes
    Forest, Chris E.
    Stone, Peter H.
    Sokolov, Andrei P.
    [J]. TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2008, 60 (05) : 911 - 920
  • [10] Gregory JM, 2002, J CLIMATE, V15, P3117, DOI 10.1175/1520-0442(2002)015<3117:AOBEOT>2.0.CO