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Evaluation of Long Time-Series Soil Moisture Products Using Extended Triple Collocation and In Situ Measurements in China

文献类型：期刊论文

作者Zhang, Liumeng1; Yang, Yaping2,3,4; Liu, Yangxiaoyue2,3,4; Yue, Xiafang2,3,4
刊名ATMOSPHERE
出版日期2023-09-01
卷号14期号:9页码:23
关键词SM extended triple collocation ECV ERA5-Land GLDAS China evaluation
DOI10.3390/atmos14091351
通讯作者Yang, Yaping(yangyp@igsnrr.ac.cn)
英文摘要Currently, satellite-based soil moisture (SM) products and land surface model assimilation techniques are widely utilized. However, the presence of systematic errors in the observation process, algorithmic discrepancies between products, and variations in spatial and temporal scales result in diverse accuracy characteristics and applicability. This study evaluates three prominent SM products in China, namely, the Essential Climate Variable Soil Moisture (ECV), the European Centre for Medium-Range Weather Forecasts' Fifth-Generation Land Surface Reanalysis Data (ERA5-Land), and the Global Land Surface Data Assimilation System (GLDAS). The evaluation was conducted using extended triple collocation (ETC) analysis and in situ validation methods at a monthly scale from 2000 to 2020. The ETC analysis results show that among the three products, GLDAS exhibits the highest correlation coefficient (CC) and the lowest standard deviation of error (ESD), indicating its superior performance in China. ECV and ERA5-Land follow, with slightly lower performance. In the in situ validation results, ERA5-Land displays the highest correlation, capturing the temporal trend of the ground SM well. Comparatively, in terms of overall accuracy, ECV performs the best, with a slightly smaller mean error (ME) and root mean square error (RMSE) than GLDAS, and ERA5-Land has the lowest accuracy. The discrepancy between the in situ validation results and ETC analysis can be attributed to the limited number of sites and their representativeness errors. Notably, ERA5-Land exhibits a highly consistent trend of interannual fluctuations between ESD and precipitation. Furthermore, a strong association is observed between the ME and RMSE of ECV and GLDAS and precipitation. These findings serve as valuable references for future SM studies in China.
WOS关键词RETRIEVALS ; IMPACT
资助项目Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK09] ; Special Program of Network Security and Informatization of the Chinese Academy of Sciences[CAS-WX2021SF-010603] ; Geographic Resources and Ecology Knowledge Service System of China Knowledge Center for Engineering Sciences and Technology[CKCEST-20221-33] ; National Natural Science Foundation of China[42101475]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
出版者MDPI
WOS记录号WOS:001072659300001
资助机构Second Tibetan Plateau Scientific Expedition and Research Program ; Special Program of Network Security and Informatization of the Chinese Academy of Sciences ; Geographic Resources and Ecology Knowledge Service System of China Knowledge Center for Engineering Sciences and Technology ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/198594]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Yaping
作者单位1.Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Natl Sci & Technol Resources Sharing Serv Platform, Natl Earth Syst Sci Data Ctr, Beijing 100101, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Liumeng,Yang, Yaping,Liu, Yangxiaoyue,et al. Evaluation of Long Time-Series Soil Moisture Products Using Extended Triple Collocation and In Situ Measurements in China[J]. ATMOSPHERE,2023,14(9):23.
APA Zhang, Liumeng,Yang, Yaping,Liu, Yangxiaoyue,&Yue, Xiafang.(2023).Evaluation of Long Time-Series Soil Moisture Products Using Extended Triple Collocation and In Situ Measurements in China.ATMOSPHERE,14(9),23.
MLA Zhang, Liumeng,et al."Evaluation of Long Time-Series Soil Moisture Products Using Extended Triple Collocation and In Situ Measurements in China".ATMOSPHERE 14.9(2023):23.

入库方式： OAI收割

来源：地理科学与资源研究所

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