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未来不同排放情景下气候变化预估研究进展
引用本文:张雪芹,彭莉莉,林朝晖.未来不同排放情景下气候变化预估研究进展[J].地球科学进展,2008,23(2):174-185.
作者姓名:张雪芹  彭莉莉  林朝晖
作者单位:1. 中国科学院地理科学与资源研究所,北京,100101
2. 中国科学院地理科学与资源研究所,北京,100101;中国科学院研究生院,北京,100049
3. 中国科学院大气物理研究所国际气候与环境科学中心,北京,100029
基金项目:国家重点基础研究发展规划(973计划) , 中国科学院知识创新工程领域前沿项目
摘    要:概述未来不同排放情景下气候变化预估研究的主要进展。首先,对用于开展气候变化预估研究的不同复杂程度的气候系统及地球系统模式及其模拟能力进行了简要的介绍,指出虽然目前气候系统模式在很多方面存在着较大的不确定性,但大体说来可提供当前气候状况的可信模拟结果;进而介绍了IPCC不同的排放情景,以及不同排放情景下全球与东亚区域气候变化预估的主要结果。研究表明,尽管不同模式对不同情景下未来气候变化预估的结果存有差异,但对未来50~100年全球气候变化的模拟大体一致,即全球将持续增温、降水出现区域性增加。在此基础上,概述了全球气候模式模拟结果的区域化技术,并重点介绍了降尺度方法的分类与应用。同时对气候变化预估的不确定性进行了讨论。最后,对气候变化预估的研究前景进行了展望,并讨论了未来我国气候变化预估研究的重点发展方向。

关 键 词:气候模式  排放情景  气候变化预估  降尺度  不确定性
文章编号:1001-8166(2008)02-0174-12
收稿时间:2007-09-11
修稿时间:2008-01-08

Progress on the Projections of Future Climate Change with Various Emission Scenarios
ZHANG Xueqin,PENG Lili,LIN Zhaohui.Progress on the Projections of Future Climate Change with Various Emission Scenarios[J].Advance in Earth Sciences,2008,23(2):174-185.
Authors:ZHANG Xueqin  PENG Lili  LIN Zhaohui
Institution:1.Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences,Beijing 100101, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3. International Centre for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Abstract:Researches on the projection of climate change are comprehensively reviewed here. Firstly, three kinds of climate models are presented in order to evaluate the ability of models (in particular coupled atmosphere ocean general circulation models) in the application of climate change projection. It is outlined that coupled models can provide credible simulations of the present climate for most variables of interest for climate change although clouds and humidity remain significant sources of uncertainty. Secondly, a series of emission scenarios released by the IPCC are summarized, so are the results of climate change projections at the global scale and in East Asia. Analysis indicates that in spite of the different outputs from global climate models (GCMs) with various scenarios, the model experiments show similar climate pattern with global warming and the regional increasing of mean precipitation over the 21st century. Considering the coarse spatial resolution of GCMs for many subgrid scales, this paper introduces the downscaling techniques used to enhance the regional details of climate projection. Then, the uncertainties of climate change projection are addressed. At last, the perspectives of research on the future climate change projection as well as the priority focus of climate change projection in China are discussed.
Keywords:Climate model  Emission scenario  Projection of climate change  Downscaling  Uncertainty  
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