Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117559
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Land and Space-
dc.contributorMainland Development Office-
dc.creatorPark, T-
dc.creatorSeo, KW-
dc.creatorRyu, D-
dc.creatorKim, JS-
dc.creatorLee, D-
dc.creatorChen, J-
dc.creatorWilson, CR-
dc.date.accessioned2026-02-26T03:46:55Z-
dc.date.available2026-02-26T03:46:55Z-
dc.identifier.issn0043-1397-
dc.identifier.urihttp://hdl.handle.net/10397/117559-
dc.language.isoenen_US
dc.publisherWiley-Blackwell Publishing, Inc.en_US
dc.rights© 2025 The Author(s).en_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.en_US
dc.rightsThe following publication Park, T., Seo, K.-W., Ryu, D., Kim, J.-S., Lee, D., Chen, J., & Wilson, C. R. (2025). Groundwater storage changes using GRACE and ESA CCI soil moisture products in southern Victoria, Australia. Water Resources Research, 61, e2024WR039346 is available at https://doi.org/10.1029/2024WR039346.en_US
dc.titleGroundwater storage changes using GRACE and ESA CCI soil moisture products in Southern Victoria, Australiaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume61-
dc.identifier.issue10-
dc.identifier.doi10.1029/2024WR039346-
dcterms.abstractGroundwater depletion, driven by climate change and increasing extraction for irrigation, has increased the need for accurate monitoring. Traditional methods, such as in situ water table observations and pumping tests, are valuable for assessing groundwater availability and aquifer characteristics but are limited in capturing basin-scale variations. The Gravity Recovery and Climate Experiment (GRACE) enables estimation of basin-scale groundwater changes, though its observations also include surface water and soil moisture (SM) in the vadose zone. Therefore, additional data on non-groundwater components are needed to isolate groundwater variations. In this study, we use the profile SM content for the top 0–120 cm of soil as an estimate of vadose zone SM, derived using an exponential filtering technique applied to European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) and in situ data. This approach addresses limitations of conventional models, such as their inability to represent non-natural or lateral water redistribution. Groundwater storage (GWS) changes in southern Victoria, Australia were estimated by subtracting the filtered SM from GRACE data and validated against in situ groundwater level observations for both unconfined and confined aquifers. The ESA CCI SM-based estimates showed clear improvements in capturing seasonal and interannual variability of in situ GWS compared to conventional model-based estimates. The proposed approach is potentially applicable to GWS estimation at continental scales.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationWater resources research, Oct. 2025, v. 61, no. 10, e2024WR039346-
dcterms.isPartOfWater resources research-
dcterms.issued2025-10-
dc.identifier.scopus2-s2.0-105019198595-
dc.identifier.eissn1944-7973-
dc.identifier.artne2024WR039346-
dc.description.validate202602 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis study was supported by the Korea Institute of Marine Science & Technology Promotion (KIMST) funded by the Ministry of Ocean Fisheries, Korea (RS-2023-00256677; PM25020), National Research Foundation of Korea (NRF) Grant (RS-2023-NR076591), the BK21 FOUR Program through the Center for Science Education in the Infosphere. J. K. is supported by NRF (RS-2024-00346384). JC was supported by the NSFC Major Programme (42394132) and Hong Kong RGC Collaborative Research Fund (C5013-23G), and CRW is supported by NASA GRACE-FO Grant 80NSSC20K0820 and ESI Grant 80NSSC22K0906.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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