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A Study on the Assessment of Multi-Source Satellite Soil Moisture Products and Reanalysis Data for the Tibetan Plateau
Cheng, ML (Cheng, Meilin)1; Zhong, L (Zhong, Lei)1,2,3; Ma, YM (Ma, Yaoming)4,5,6; Zou, MJ (Zou, Mijun)1; Ge, N (Ge, Nan)1; Wang, X (Wang, Xian)1; Hu, YY (Hu, Yuanyuan)1
Source PublicationREMOTE SENSING
2019
Volume11Issue:10Pages:1196
DOI10.3390/rs11101196
Abstract

Soil moisture is a key variable in the process of land-atmosphere energy and water exchange. Currently, there are a large number of operational satellite-derived soil moisture products and reanalysis soil moisture products available. However, due to the lack of in situ soil moisture measurements over the Tibetan Plateau (TP), their accuracy and applicability are unclear. Based on the in situ measurements of the soil moisture observing networks established at Maqu, Naqu, Ali, and Shiquanhe (Sq) by the Institute of Tibetan Plateau Research, the Chinese Academy of Sciences, the Northwest Institute of Eco-Environmental Resources, the Chinese Academy of Sciences and the University of Twente over the TP, the accuracy and reliability of the European Space Agency Climate Change Initiative Soil Moisture version 4.4 (ESA CCI SM v4.4) soil moisture products and the European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) soil moisture product were evaluated. The spatiotemporal distributions and interannual variations of the soil moisture were analyzed. Further, the climatological soil moisture changing trends across the TP were explored. The results show that with regard to the whole plateau, the combined product performs the best (unbiased root-mean-square error (ubRMSE) = 0.043 m(3)/m(3), R = 0.66), followed by the active product (ubRMSE = 0.048 m(3)/m(3), R = 0.62), the passive product (ubRMSE = 0.06 m(3)/m(3), R = 0.61), and the ERA5 soil moisture product (ubRMSE = 0.067 m(3)/m(3), R = 0.52). Considering the good spatiotemporal data continuity of the ERA5 soil moisture product, the ERA5 soil moisture data from 1979 to 2018 were used to analyze the climatological soil moisture changing trend for the entire TP surface. It was found that there was an increasing trend of soil moisture across the TP, which was consistent with the overall trends of increasing precipitation and decreasing evaporation. Moreover, the shrinkage of the cryosphere in conjunction with the background TP warming presumably contribute to soil moisture change.

Subject AreaRemote Sensing
WOS IDWOS:000480524800054
Language英语
Indexed BySCI
KeywordData Sets Smos Precipitation Temperature Validation Vegetation Retrieval Simulations Performance Network
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
Cooperation Status国内
Department环境变化与地表过程
URL查看原文
PublisherMDPI
SubtypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9306
Collection图书馆
Corresponding AuthorZhong, L (Zhong, Lei)
Affiliation1.Univ Sci & Technol China, Sch Earth & Space Sci, Lab Atmospher Observat & Climate Environm Res, Hefei 230026, Peoples R China;
2.CAS Ctr Excellence Comparat Planetol, Hefei 230026, Peoples R China;
3.Jiangsu Collaborat Innovat Ctr Climate Change, Nanjing 210023, Jiangsu, Peoples R China;
4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China;
5.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China;
6.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China.
Recommended Citation
GB/T 7714
Cheng, ML ,Zhong, L ,Ma, YM ,et al. A Study on the Assessment of Multi-Source Satellite Soil Moisture Products and Reanalysis Data for the Tibetan Plateau[J]. REMOTE SENSING,2019,11(10):1196.
APA Cheng, ML .,Zhong, L .,Ma, YM .,Zou, MJ .,Ge, N .,...&Hu, YY .(2019).A Study on the Assessment of Multi-Source Satellite Soil Moisture Products and Reanalysis Data for the Tibetan Plateau.REMOTE SENSING,11(10),1196.
MLA Cheng, ML ,et al."A Study on the Assessment of Multi-Source Satellite Soil Moisture Products and Reanalysis Data for the Tibetan Plateau".REMOTE SENSING 11.10(2019):1196.
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