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	Comparisons of simulations of soil moisture variations in the yellow river basin driven by various atmospheric forcing data sets
	Li Mingxing1,2; Ma Zhuguo1
刊名	Advances in atmospheric sciences
	2010-11-01
卷号	27期号:6页码:1289-1302
关键词	Soil moisture Clm3.5 Multiple forcing fields The yellow river basin
ISSN号	0256-1530
DOI	10.1007/s00376-010-9155-7
通讯作者	Ma zhuguo(mazg@tea.ac.cn)
英文摘要	Based on station observations, the european centre for medium-range weather forecasts reanalysis (era40), the national centers for environmental prediction/national center for atmospheric research (ncep/ncar) reanalysis and princeton university's global meteorological forcing data set (princeton), four atmospheric forcing fields were constructed for use in driving the community land model version 3.5 (clm3.5). simulated soil moisture content throughout the period 1951-2000 in the yellow river basin was validated via comparison with corresponding observations in the upper, middle, and lower reaches. the results show that clm3.5 is capable of reproducing not only the characteristics of intra-annual and annual variations of soil moisture, but also long-term variation trends, with different statistical significance in the correlations between the observations and simulations from different forcing fields in various reaches. the simulations modeled with station-based atmospheric forcing fields are the most consistent with observed soil moisture, and the simulations based on the princeton data set are the second best, on average. the simulations from era40 and ncep/ncar are close to each other in quality, but comparatively worse to the other sources of forcing information that were evaluated. regionally, simulations are most consistent with observations in the lower reaches and less so in the upper reaches, with the middle reaches in between. in addition, the soil moisture simulated by clm3.5 is systematically greater than the observations in the yellow river basin. comparisons between the simulations by clm3.5 and clm3.0 indicate that simulation errors are primarily caused by deficiencies within clm3.5 and are also associated with the quality of atmospheric forcing field applied.
WOS关键词	COMMUNITY LAND MODEL ; CLIMATE SYSTEM MODEL ; TEMPORAL STABILITY ; THERMAL PARAMETERS ; GLOBAL DATASET ; SURFACE ALBEDO ; VARIABILITY ; PRECIPITATION ; REANALYSIS ; TRANSPIRATION
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000283136900006
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2406053
专题	中国科学院大学
通讯作者	Ma Zhuguo
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate E Asia, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Li Mingxing,Ma Zhuguo. Comparisons of simulations of soil moisture variations in the yellow river basin driven by various atmospheric forcing data sets[J]. Advances in atmospheric sciences,2010,27(6):1289-1302.
APA	Li Mingxing,&Ma Zhuguo.(2010).Comparisons of simulations of soil moisture variations in the yellow river basin driven by various atmospheric forcing data sets.Advances in atmospheric sciences,27(6),1289-1302.
MLA	Li Mingxing,et al."Comparisons of simulations of soil moisture variations in the yellow river basin driven by various atmospheric forcing data sets".Advances in atmospheric sciences 27.6(2010):1289-1302.

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