Comparison of mid-Pliocene climate predictions produced by the HadAM3 and GCMAM3 General Circulation Models

被引:66
作者
Haywood, Alan M. [1 ]
Chandler, Mark A. [2 ]
Valdes, Paul J. [3 ]
Salzmann, Ulrich [4 ]
Lunt, Daniel J. [3 ,4 ]
Dowsett, Harry J. [5 ]
机构
[1] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England
[2] Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USA
[3] Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England
[4] British Antarctic Survey, Geol Sci Div, Cambridge CB3 0ET, Cambs, England
[5] US Geol Survey, Natl Ctr 926A, Reston, VA 20192 USA
基金
美国国家科学基金会; 英国自然环境研究理事会;
关键词
Pliocene; GCM; intercomparison; BIOME; 4; PMIP; Plio-MIP; ATMOSPHERIC SIMULATIONS; GASEOUS ABSORPTION; WATER-VAPOR; RESOLUTION; IMPACT; PALEOCLIMATE; SENSITIVITY; SCHEME; RECONSTRUCTION; REPRESENTATION;
D O I
10.1016/j.gloplacha.2008.12.014
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The mid-Pliocene warm period (ca. 3 to 3.3 million years ago) has become an important interval of time for palaeoclimate modelling exercises, with a large number of studies published during the last decade. However, there has been no attempt to assess the degree of model dependency of the results obtained. Here we present an initial comparison of mid-Pliocene climatologies produced by the Goddard Institute for Space Studies and Hadley Centre for Climate Prediction and Research atmosphere-only General Circulation Models (GCMAM3 and HadAM3). Whilst both models are consistent in the simulation of broad-scale differences in mid-Pliocene surface air temperature and total precipitation rates, significant variation is noted on regional and local scales. There are also significant differences in the model predictions of total cloud cover. A terrestrial data/model comparison, facilitated by the BIOME 4 model and a new data set of Piacenzian Stage land cover [Salzmann, U., Haywood, A.M., Lunt, D.J., Valdes, P.J., Hill, DJ., (2008). A new global biome reconstruction and data model comparison for the Middle Pliocene. Global Ecology and Biogeography 17, 432-447, doi:10.1111/j.1466-8238.2007.00381.x] and combined with the use of Kappa statistics, indicates that HadAM3-based biome predictions provide a closer fit to proxy data in the mid to high-latitudes. However, GCMAM3-based biomes in the tropics provide the closest fit to proxy data. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:208 / 224
页数:17
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