DOI: 10.1002/jgrd.50301
论文题名: Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau
作者: Chen Y. ; Yang K. ; Qin J. ; Zhao L. ; Tang W. ; Han M.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 10 起始页码: 4466
结束页码: 4475
语种: 英语
英文关键词: AMSR-E
; GLDAS
; soil moisture
; Tibetan Plateau
Scopus关键词: Algorithms
; Arid regions
; Computer simulation
; Mean square error
; Temperature measurement
; Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E)
; AMSR-E
; Central Tibetan plateau
; GLDAS
; Land data assimilation systems
; Root mean square errors
; Soil moisture monitoring
; Tibetan Plateau
; Soil moisture
; AMSR-E
; data assimilation
; land surface
; season
; simulation
; soil moisture
; temperature profile
; China
; Qinghai-Xizang Plateau
英文摘要: A multi-scale soil moisture and temperature monitoring network, consisting of 55 soil moisture and temperature measurement stations, has been established in central Tibetan Plateau (TP). In this study, the station-averaged surface soil moisture data from the network are used to evaluate four soil moisture products retrieved from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) and four land surface modeling products from the Global Land Data Assimilation System (GLDAS). Major findings are (1) none of the four AMSR-E products provides reliable estimates in the unfrozen season, in terms of the mission requirement of the root mean square error (RMSE) < 0.06 m3m-3. These algorithms either evidently overestimate soil moisture or obviously underestimate it, although some of them showed the soil moisture dynamic range, indicating that the retrieval algorithms have much space to be improved for the cold semi-arid regions. (2) The four GLDAS models tend to systematically underestimate the surface soil moisture (0-5 cm) while well simulate the soil moisture for 20-40 cm layer. In comparison with the satellite surface soil moisture products, three among the four models give low RMSE and BIAS values, but still falling out of the acceptable range. The causes for the modeling biases in this cold region were discussed. Key Points Installed a dense soil moisture monitoring network on central Tibetan PlateauEvaluation of four AMSR-E retrieved soil moisture productsEvaluation of four GLDAS simulated soil moisture outputs © 2013. American Geophysical Union. All Rights Reserved. 资助项目: 41105003
; 41171268
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63734
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Chen Y.,Yang K.,Qin J.,et al. Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)