Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112535
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Land and Space-
dc.contributorMainland Development Office-
dc.creatorZhong, B-
dc.creatorLi, X-
dc.creatorChen, J-
dc.creatorLi, J-
dc.creatorXu, H-
dc.date.accessioned2025-04-16T04:33:55Z-
dc.date.available2025-04-16T04:33:55Z-
dc.identifier.issn0043-1397-
dc.identifier.urihttp://hdl.handle.net/10397/112535-
dc.language.isoenen_US
dc.publisherWiley-Blackwell Publishing, Inc.en_US
dc.rights© 2024. The Author(s).en_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Zhong, B., Li, X., Chen, J., Li, J., & Xu, H. (2024). Estimation of terrestrial water storage changes in Brazil from the joint inversion of GRACE-based geopotential difference and GNSS vertical displacement data. Water Resources Research, 60, e2024WR037538 is available at https://doi.org/10.1029/2024WR037538.en_US
dc.titleEstimation of terrestrial water storage changes in Brazil from the joint inversion of GRACE-based geopotential difference and GNSS vertical displacement dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume60-
dc.identifier.issue11-
dc.identifier.doi10.1029/2024WR037538-
dcterms.abstractGravity Recovery and Climate Experiment (GRACE) satellite gravimetry and Global Navigation Satellite System (GNSS) surface displacement measurements offer complementary advantages for monitoring terrestrial water storage (TWS) changes. We propose a new joint inversion model based on the combination of GRACE-based geopotential difference (GPD) observations using the mascon method and GNSS vertical displacements through the Green's function method to obtain reliable TWS changes in Brazil. The performance of the jointly inverted TWS changes is assessed through closed-loop simulations and comparisons with hydrometeorological data (precipitation-P, evapotranspiration-ET, and runoff-R) using water budget closure (P-ET-R) and river water level observations from satellite altimetry. The simulation results indicate that the joint inversion results exhibit higher accuracy and reliability than GRACE GPD-based mascon (GPD-mascon) and GNSS solutions, and the standard deviations (STDs) of joint results decrease by ∼6.98 and ∼37.5 mm compared to those from GPD-mascon and GNSS solutions. The joint inversion of real GRACE and GNSS data demonstrates notably lower uncertainty than that of GPD-mascon solutions and exhibits significant improvement than GNSS-only solutions. The STDs and correlation coefficients between monthly R time series derived from three inversion methods (joint inversion, GPD-mascon and GNSS solutions, combined with P and ET through water budget closure) and in situ observations are 19.607 mm and 0.912, 20.879 mm and 0.904, and 31.370 mm and 0.778, respectively. The joint estimates also yield better correlation with river water level observations compared to GPD-mascon and GNSS solutions. Furthermore, at the weekly time scale, the joint inversion results show better consistency with P-ET-R data than those from GPD-mascon and GNSS solutions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationWater resources research, Nov. 2024, v. 60, no. 11, e2024WR037538-
dcterms.isPartOfWater resources research-
dcterms.issued2024-11-
dc.identifier.scopus2-s2.0-85208597992-
dc.identifier.eissn1944-7973-
dc.identifier.artne2024WR037538-
dc.description.validate202504 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Hubei Luojia Laboratoryen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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