数据同化在气候模拟中的应用——对中国西部区域气候研究的展望

doi:10.11867/j.issn.1001-8166.2007.11.1177

地球科学进展 ›› 2007, Vol. 22 ›› Issue (11): 1177 -1184. doi: 10.11867/j.issn.1001-8166.2007.11.1177

蒲朝霞 ^1,2

1. 美国犹他大学气象系,美国犹他；2. 甘肃省干旱气候变化与健在重点实验室，甘肃兰州 730020

收稿日期:2007-08-20 修回日期:2007-10-20 出版日期:2007-11-10
通讯作者: 蒲朝霞（1968-)，女，博士，美国犹他大学气象系教授，主要从事数值模拟和气象资料的四维同化方面的研究.E-mail：Zhaoxia.Pu@utah.edu E-mail:Zhaoxia.Pu@utah.edu

Applications of Data Assimilation in Climate Modeling:A Perspective from Regional Climate Studies Over Western China

PU Zhao-xia ^1,2

1.Department of Meteorology, University of Utah, USA; 2.Key Open Laboratory of Arid Climate Change and Disaster Reduction of Gansu Province, Lanzhou 730000,China

Received:2007-08-20 Revised:2007-10-20 Online:2007-11-10 Published:2007-11-10

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现代数值模拟技术是一种把数值模型与观测资料结合起来对地球系统状态进行理想化评估的方法。除了在数值天气预报和气候分析中发挥重要作用外，数据同化技术也被应用于气候研究的许多方面，如模式初始化、确认及最优化。主要通过几个与中国西部区域气候研究紧密相关的议题，讨论了数据同化在气候模拟中的应用。并且阐述了其将面对的挑战、潜在方法学、最新研究成果和未来发展。

关键词: 数据同化, 气候模拟, 区域气候, 中国西部

Modern data assimilation techniques represent a way to combine the numerical model and observations together for an optimal estimation of the state of the earth system. In addition to their vital role in numerical weather prediction and climate reanalysis, data assimilation techniques can also be applied in many aspects of climate study, such as model initialization, validation and optimization. The paper gives a brief discussion on the applications of data assimilation in climate modeling with emphases on a few key issues that are closely associated with the regional climate study over the western China. Challenges, potential methodologies, recent results and future development are presented.

Key words: Data assimilation, Climate modeling, Regional climate, Western China.

中图分类号:

P435

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