气候变化领域集成服务门户(CCPortal): Development of a Chinese land data assimilation system: its progress and prospects

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	Development of a Chinese land data assimilation system: its progress and prospects
	Li, Xin; Huang, Chunlin; Che, Tao; Jin, Rui; Wang, Shugong; Wang, Jiemin; Gao, Feng; Zhang, Shuwen; Qiu, Chongjian; Wang, Chenghai
发表日期	2007
ISSN	1002-0071
EISSN	1745-5391
起始页码	881
结束页码	892
卷号	17 期号:8
英文摘要	The objective of land data assimilation is to merge multi-source observations into the dynamics of land surface model for improving the estimation of land surface states. We have developed a land data assimilation system for China' s land territory. In this system, the Common Land Model and Simple Biosphere Model 2 are used to simulate land surface processes. The radiative transfer models of thawed and frozen soil, snow, lake, and vegetation are used as observation operators to transfer model predictions into estimated brightness temperatures. A Monte-Carlo based sequential filter, the ensemble Kalman filter, is implemented as data assimilation method to integrate modeling and observation. The system is capable of assimilating passive microwave remotely sensed data such as special sensor microwave/imager (SSM/I), TRMM microwave imager (TMI), and advanced microwave scanning radiometer enhanced for EOS (AMSR-E) and the conventional in situ measurements of soil and snow. A spatiotemporally consistent assimilated dataset for soil moisture, soil temperature, snow and frozen soil, with a spatial resolution of 0.25 degree and temporal resolution of one hour, has been produced. This paper introduces the development of Chinese land data assimilation system and the progress made on data assimilation algorithms, land Surface modeling, microwave remote sensing of land surface hydrological variables, and the preparation of atmospheric forcing data. The distinct characteristics and challenges of developing land data assimilation system and the perspectives for future development are also discussed.
英文关键词	land data assimilation; land surface model; passive microwave remote sensing; Kalman filter
WOS研究方向	Materials Science ; Science & Technology - Other Topics
WOS类目	Materials Science, Multidisciplinary ; Multidisciplinary Sciences
WOS关键词	VARIATIONAL DATA ASSIMILATION ; HYDROLOGIC DATA ASSIMILATION ; SEQUENTIAL DATA ASSIMILATION ; MICROWAVE EMISSION MODEL ; SOIL-MOISTURE RETRIEVAL ; SATELLITE MISSION ; SURFACE MODEL ; TEMPERATURE ; PROFILE ; METHODOLOGY
WOS记录号	WOS:000249864400002
来源期刊	PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/241001
作者单位	Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China; Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Li, Xin,Huang, Chunlin,Che, Tao,et al. Development of a Chinese land data assimilation system: its progress and prospects[J]. 中国科学院西北生态环境资源研究院,2007,17(8).
APA	Li, Xin.,Huang, Chunlin.,Che, Tao.,Jin, Rui.,Wang, Shugong.,...&Wang, Chenghai.(2007).Development of a Chinese land data assimilation system: its progress and prospects.PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL,17(8).
MLA	Li, Xin,et al."Development of a Chinese land data assimilation system: its progress and prospects".PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL 17.8(2007).