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地球科学进展  2005, Vol. 20 Issue (3): 320-329    DOI: 10.11867/j.issn.1001-8166.2005.03.0320
综述与评述     
统计降尺度法对未来区域气候变化情景预估的研究进展
范丽军1,符淙斌1,陈德亮2,3
1.中国科学院大气物理研究所东亚区域气候—环境重点实验室,北京 100029;
2.Earth Sciences Centre, Göteborg University, Sweden 40530;
3.中国气象局国家气候中心,气候研究开放实验室,北京 100081
REVIEW ON CREATING FUTURE CLIMATE CHANGE SCENARIOS BY STATISTICAL DOWNSCALING TECHNIQUES
FAN Lijun1;FU Congbin1;CHEN Deliang2,3
1.Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,China;
2. Earth Sciences Centre, Göteborg University,Sweden 40530;
3.National Climate Center,China Meteorological Administration,Beijing 100081,China
 全文: PDF(291 KB)  
摘要:

由于迄今为止大部分的海气耦合气候模式(AOGCM)的空间分辨率还较低,很难对区域尺度的气候变化情景做合理的预测,降尺度法已广泛用于弥补AOGCM在这方面的不足。简要介绍了3种常用的降尺度法:动力降尺度法、统计降尺度法和统计与动力相结合的降尺度法;系统论述了统计降尺度方法的理论和应用的研究进展,其中包括:统计降尺度法的基本假设,统计降尺度法的优缺点,以及常用的3种统计降尺度法;还论述了用统计降尺度法预估未来气候情景的一般步骤,以及方差放大技术在统计降尺度中的应用;同时还强调了统计降尺度方法和动力降尺度方法比较研究在统计降尺度研究中的重要性;最后指出统计与动力相结合的降尺度方法将成为降尺度技术的重要发展方向。

关键词: 统计降尺度法;动力降尺度法统计与动力相结合的降尺度法海气耦合气候模式(AOGCM)未来区域气候变化情景    
Abstract:

Coupled General Circulation models (AOGCMs) are widely used as an important tool of projecting global climate change. However, their resolution is too coarse to provide the regional scale information required for regional impact assessments. Therefore, downscaling methods for extracting regional scale information from output of AOGCMs have been developed. Regional climate models nested in AOGCMs, statistical downscaling, and dynamicalstatistical downscaling are usually used for downscaling. In this review paper, focus is placed on statistical downscaling techniques. These methods can be used to predict regional scale climate from AOGCM output using statistical relationship between the large-scale climate and the regional-scale climate, which offers the advantages of being computationally inexpensive. The principle and assumptions of three categories of statistical downscaling are introduced. Important issues in using statistical downscaling to create future climate change scenario is also discussed. At the same time, dynamical downscaling is briefly compared with statistical downscaling in terms of their advantages and disadvantages. Finally, prospects of developing new downscaling techniques by combining statistical and dynamical downscaling techniques are pointed out.

Key words: Statistical downscaling    Dynamical downscaling    Statistical-dynamical downscaling    Coupled general circulation models(AOGCMs)    Future climate change scenario.
收稿日期: 2003-10-24 出版日期: 2005-03-25
:  P432+1  
基金资助:

国家重点基础研究发展规划项目“我国生存环境演变和北方干旱化趋势预测研究”(编号:G1999043400);中国科学院海外杰出学者基金项目“一种新的降尺度模式的研制及其在中国区域气候预测中的应用”(编号: 2001-2-10 ); 科技部项目“全球与中国气候变化的检测和预估”(编号: 2001BA611B-01); 瑞典STINT基金会资助项目

通讯作者: 范丽军     E-mail: fanlj@tea.ac.cn
作者简介: 范丽军(1976-),女,山西省新绛人,博士研究生,主要从事统计降尺度法的应用研究 E-mail:fanlj@tea.ac.cn
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引用本文:

范丽军;符淙斌;陈德亮;. 统计降尺度法对未来区域气候变化情景预估的研究进展[J]. 地球科学进展, 2005, 20(3): 320-329.

FAN Lijun;FU Congbin;CHEN Deliang,. REVIEW ON CREATING FUTURE CLIMATE CHANGE SCENARIOS BY STATISTICAL DOWNSCALING TECHNIQUES. Advances in Earth Science, 2005, 20(3): 320-329.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2005.03.0320        http://www.adearth.ac.cn/CN/Y2005/V20/I3/320

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