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DOI	10.1007/s11430-019-9620-x
	Harmonizing models and observations: Data assimilation in Earth system science
	Li, Xin; Liu, Feng; Fang, Miao
通讯作者	Li, X (通讯作者)
发表日期	2020
ISSN	1674-7313
EISSN	1869-1897
起始页码	1059
结束页码	1068
卷号	63 期号:8
英文摘要	Models and observations are two fundamental methodological approaches in Earth system science (ESS). They evolve collaboratively and enhance one another. However, neither of these two approaches is perfect, and they have incompatibilities due to their methodological differences. The emergence of data assimilation (DA) has enabled these two approaches to develop in conjunction and form a harmonic ESS methodology. As a result, DA has shown a fresh vitality and applicability in ESS. This paper reviews the application of DA in the main branches of ESS, traces the coordinated evolution of DA with the methodologies of rationalism and empiricism, analyzes the relationships of DA with estimation theory and cybernetics, summarizes the advances of DA in China, and presents an outlook on the challenges facing the development of a uniform DA for ESS. DA theories and methods will continue to evolve and provide an increasingly mature methodology for enhancing the understanding and prediction of Earth as a system.
关键词	LAND DATA ASSIMILATION SURFACE MODEL REANALYSIS FRAMEWORK PROGRESS IMPROVE
英文关键词	Data assimilation; Model; Observation; Earth system science; Methodology; Philosophy of science; Synthesis
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000537408500001
来源期刊	SCIENCE CHINA-EARTH SCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259668
推荐引用方式 GB/T 7714	Li, Xin,Liu, Feng,Fang, Miao. Harmonizing models and observations: Data assimilation in Earth system science[J]. 中国科学院青藏高原研究所,2020,63(8).
APA	Li, Xin,Liu, Feng,&Fang, Miao.(2020).Harmonizing models and observations: Data assimilation in Earth system science.SCIENCE CHINA-EARTH SCIENCES,63(8).
MLA	Li, Xin,et al."Harmonizing models and observations: Data assimilation in Earth system science".SCIENCE CHINA-EARTH SCIENCES 63.8(2020).