标题:Equivalent water height changes over Qinghai-Tibet Plateau determined from GRACE with an independent component analysis approach
作者:Liu, Xin; Zhao, Ning; Guo, Jinyun; Sun, Yu; Guo, Bin; Mou, Naixia
作者机构:[Liu, Xin; Zhao, Ning; Guo, Jinyun; Guo, Bin; Mou, Naixia] Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China.; [Guo, Jinyun; 更多
通讯作者:Guo, JY;Guo, JY
通讯作者地址:[Guo, JY]Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China;[Guo, JY]Shandong Univ Sci & Technol, State Key Lab Min Disaster Pr 更多
来源:ARABIAN JOURNAL OF GEOSCIENCES
出版年:2020
卷:13
期:4
DOI:10.1007/s12517-020-5203-5
关键词:GRACE; Independent component analysis; Equivalent water height; Water; storage change; Qinghai-Tibet Plateau; Gaussian filter
摘要:We estimated the equivalent water height (EWH) over Qinghai-Tibet Plateau (QTP) from time-variable gravity field models derived from the Gravity Recovery and Climate Experiment (GRACE) data released by CSR, JPL, GFZ, and GRGS. EWHs calculated from CSR, GFZ, JPL, and GRGS models, respectively, were taken as the observed signals, and the corresponding 4 independent source signals of each observed signal were determined by independent component analysis to remove the north-south stripe errors and identify the fourth independent components as meaningful water storage change (WSC) signals. These interesting signals are highly correlated to those predicted by hydrological models such as CPC and GLDAS with the maximum and minimum correlation coefficients of 0.89 and - 0.5, respectively. The result shows that EWHs over QTP wholly have the rising trend with the mean rate of WSC of greater than 0.7 mm/year. The in situ precipitations on 140 meteorological stations are also analyzed to verify the water storage changes determined from GRACE data. The results indicate that precipitation is one important water source to replenish the groundwater in QTP.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079215702&doi=10.1007%2fs12517-020-5203-5&partnerID=40&md5=7a96b490ba05455867739eb4462bc1f4
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