气候变化领域集成服务门户(CCPortal): A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau

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DOI	10.1016/j.rse.2021.112666
	A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau
	Xing, Zanpin; Fan, Lei; Zhao, Lin; De Lannoy, Gabrielle; Frappart, Frederic; Peng, Jian; Li, Xiaojun; Zeng, Jiangyuan; Al-Yaari, Amen; Yang, Kun; Zhao, Tianjie; Shi, Jiancheng; Wang, Mengjia; Liu, Xiangzhuo; Hu, Guojie; Xiao, Yao; Du, Erji; Li, Ren; Qiao, Yongping; Shi, Jianzong; Wen, Jianguang; Ma, Mingguo; Wigneron, Jean-Pierre
通讯作者	Fan, L (通讯作者)，Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Peoples R China. ; Fan, L (通讯作者)，Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China.
发表日期	2021
ISSN	0034-4257
EISSN	1879-0704
卷号	265
英文摘要	Long-term and high-quality surface soil moisture (SSM) and root-zone soil moisture (RZSM) data is crucial for understanding the land-atmosphere interactions of the Qinghai-Tibet Plateau (QTP). More than 40% of QTP is covered by permafrost, yet few studies have evaluated the accuracy of SSM and RZSM products derived from microwave satellite, land surface models (LSMs) and reanalysis over that region. This study tries to address this gap by evaluating a range of satellite and reanalysis estimates of SSM and RZSM in the thawed soil overlaying permafrost in the QTP, using in-situ measurements from sixteen stations. Here, seven SSM products were evaluated: Soil Moisture Active Passive L3 (SMAP L3) and L4 (SMAP-L4), Soil Moisture and Ocean Salinity in version IC (SMOS IC), Land Parameter Retrieval Model (LPRM) Advanced Microwave Scanning Radiometer 2 (AMSR2), European Space Agency Climate Change Initiative (ESA CCI), Advanced Scatterometer (ASCAT), and the fifth generation of the land component of the European Centre for Medium-Range Weather Forecasts atmospheric reanalysis (ERAS-Land). We also evaluated three RZSM products from SMAP-L4, ERA5-Land, and the Noah land surface model driven by Global Land Data Assimilation System (GLDAS-Noah). The assessment was conducted using five statistical metrics, i. e. Pearson correlation coefficient (R), bias, slope, Root Mean Square Error (RMSE), and unbiased RMSE (ubRMSE) between SSM or RZSM products and in-situ measurements. Our results showed that the ESA CCI, SMAP-L4 and SMOS-IC SSM products outperformed the other SSM products, indicated by higher correlation coefficients (R) (with a median R value of 0.63, 0.44 and 0.57, respectively) and lower ubRMSE (with a median ubRMSE value of 0.05, 0.04 and 0.07 m(3)/m(3), respectively). Yet, SSM overestimation was found for all SSM products. This could be partly attributed to ancillary data used in the retrieval (e.g. overestimation of land surface temperature for SMAP-L3) and to the fact that the products (e.g. LPRM) more easily overestimate the in-situ SSM when the soil is very dry. As expected, SMAP-L3 SSM performed better in areas with sparse vegetation than with dense vegetation covers. For RZSM products, SMAP-L4 and GLDAS-Noah (R = 0.66 and 0.44, ubRMSE = 0.03 and 0.02 m(3)/m(3), respectively) performed better than ERAS-Land (R = 0.46; ubRMSE = 0.03 m(3)/m(3)). It is also found that all RZSM products were unable to capture the variations of in-situ RZSM during the freezing/thawing period over the permafrost regions of QTP, due to large deviation for the ice-water phase change simulation and the lack of consideration for unfrozen-water migration during freezing processes in the LSMs.
关键词	L-MEB MODEL MICROWAVE SMOS VALIDATION PRODUCTS SMAP TEMPERATURE RETRIEVALS PERFORMANCE CALIBRATION
英文关键词	Qinghai-Tibet Plateau; Permafrost; Microwave remote sensing; Reanalysis datasets; Surface soil moisture; Root-zone soil moisture; SMOS; SMAP; AMSR2; ASCAT; ESA CCI; ERAS-land; GLDAS-Noah; Inter-comparison
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000697358300003
来源期刊	REMOTE SENSING OF ENVIRONMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/255202
作者单位	[Xing, Zanpin; Zhao, Lin; Hu, Guojie; Xiao, Yao; Du, Erji; Li, Ren; Qiao, Yongping; Shi, Jianzong] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Cryosphere Res Stn Qinghai Xizang Plateau, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China; [Xing, Zanpin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Fan, Lei; Zhao, Lin] Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Peoples R China; [Fan, Lei; Ma, Mingguo] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China; [De Lannoy, Gabrielle] Katholieke Univ Leuven, Dept Earth & Environm Sci, B-3001 Heverlee, Belgium; [Frappart, Frederic] Univ Toulouse, Lab Etud Geophys & Oceanog Spatiales LEGOS, F-31400 Toulouse, France; [Frappart, Frederic] Geosci Environm Toulouse GET, F-31400 Toulouse, France; [Peng, Jian] UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Permoserstr 15, D-04318 Leipzig, Germany; [Peng, Jian] Univ Leipzig, Remote Sensing Ctr Earth...
推荐引用方式 GB/T 7714	Xing, Zanpin,Fan, Lei,Zhao, Lin,et al. A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau[J]. 中国科学院西北生态环境资源研究院,2021,265.
APA	Xing, Zanpin.,Fan, Lei.,Zhao, Lin.,De Lannoy, Gabrielle.,Frappart, Frederic.,...&Wigneron, Jean-Pierre.(2021).A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau.REMOTE SENSING OF ENVIRONMENT,265.
MLA	Xing, Zanpin,et al."A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau".REMOTE SENSING OF ENVIRONMENT 265(2021).