Evaluation of climate models using palaeoclimatic data

被引:718
作者
Braconnot, Pascale [1 ]
Harrison, Sandy P. [2 ]
Kageyama, Masa [1 ]
Bartlein, Patrick J. [3 ]
Masson-Delmotte, Valerie [1 ]
Abe-Ouchi, Ayako [4 ]
Otto-Bliesner, Bette [5 ]
Zhao, Yan [2 ]
机构
[1] Orme Merisiers, Unite Mixte Rech CEA CNRS UVSQ, Inst Pierre Simon Laplace, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France
[2] Macquarie Univ, Sch Biol Sci, N Ryde, NSW 2109, Australia
[3] Univ Oregon, Dept Geog, Eugene, OR 97403 USA
[4] Univ Tokyo, Ctr Climate Syst Res, Kashiwa, Chiba 2778569, Japan
[5] Natl Ctr Atmospher Res, Climate & Global Dynam Div, Boulder, CO 80305 USA
关键词
LAST GLACIAL MAXIMUM; PMIP2 COUPLED SIMULATIONS; SEA-SURFACE TEMPERATURES; AFRICAN MONSOON; NORTH-ATLANTIC; SYNERGISTIC FEEDBACKS; PALAEOVEGETATION DATA; MID-LATITUDE; FIRE REGIMES; EL-NINO;
D O I
10.1038/NCLIMATE1456
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There is large uncertainty about the magnitude of warming and how rainfall patterns will change in response to any given scenario of future changes in atmospheric composition and land use. The models used for future climate projections were developed and calibrated using climate observations from the past 40 years. The geologic record of environmental responses to climate changes provides a unique opportunity to test model performance outside this limited climate range. Evaluation of model simulations against palaeodata shows that models reproduce the direction and large-scale patterns of past changes in climate, but tend to underestimate the magnitude of regional changes. As part of the effort to reduce model-related uncertainty and produce more reliable estimates of twenty-first century climate, the Palaeoclimate Modelling Intercomparison Project is systematically applying palaeoevaluation techniques to simulations of the past run with the models used to make future projections. This evaluation will provide assessments of model performance, including whether a model is sufficiently sensitive to changes in atmospheric composition, as well as providing estimates of the strength of biosphere and other feedbacks that could amplify the model response to these changes and modify the characteristics of climate variability.
引用
收藏
页码:417 / 424
页数:8
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