globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017JD026800
论文题名:
Evaluation and analysis of AMSR-2, SMOS, and SMAP soil moisture products in the Genhe area of China
作者: Cui H.; Jiang L.; Du J.; Zhao S.; Wang G.; Lu Z.; Wang J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
卷: 122, 期:16
起始页码: 8650
结束页码: 8666
语种: 英语
英文关键词: evaluation ; Genhe ; in situ ; soil moisture ; surface temperature ; vegetation optical depth
英文摘要: High-precision soil moisture products play an important role in estimating forest carbon storage and carbon emissions in Genhe, China. In this paper, we evaluated the Soil Moisture and Ocean Salinity (SMOS) L3 product, the Soil Moisture Active Passive (SMAP) L3 product, and four soil moisture products derived from the Advanced Microwave Scanning Radiometer 2 (AMSR-2), i.e., the Dual Channel Algorithm based on the Qp model (QDCA) product, the Japan Aerospace Exploration Agency (JAXA) L3 product, and the Land Parameter Retrieval Model (LPRM) C band and X band products in the Genhe area of China. The results indicated that the root-mean-square error (RMSE) and bias of the QDCA product were lower than those of the other AMSR-2 products, although the QDCA still fell outside of the acceptable range with a volumetric error of no greater than 6%. The JAXA product underestimated the soil moisture and had a constant bias of 0.089–0.099 m3 m−3. The LPRM C-band and X-band products had a constant variable season bias of 0.261–0.576 m3 m−3. The quality of the SMOS was better than that of the AMSR-2 products; however, the results were noisy and unstable. The SMAP was closest to the ground measurements and presented a low RMSE (0.039–0.063 m3 m−3) and bias (0.022–0.050 m3 m−3). Finally, an assessment was performed on the parameters in these soil moisture algorithms. ©2017. American Geophysical Union. All Rights Reserved.
资助项目: 41371354 ; 41671334
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62596
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: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University and Joint Center for Global Change Studies, Beijing, China; Numerical Terradynamic Simulation Group, College of Forestry and Conservation, University of Montana, Missoula, MT, United States; State Key Laboratory of Remote Sensing Science, College of Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing, China

Recommended Citation:
Cui H.,Jiang L.,Du J.,et al. Evaluation and analysis of AMSR-2, SMOS, and SMAP soil moisture products in the Genhe area of China[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(16)
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