Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113186
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorWang, J-
dc.creatorShen, Y-
dc.creatorAwange, J-
dc.creatorSong, Y-
dc.creatorYang, L-
dc.creatorChen, Q-
dc.creatorKasedde, A-
dc.date.accessioned2025-05-29T07:59:10Z-
dc.date.available2025-05-29T07:59:10Z-
dc.identifier.issn0094-8276-
dc.identifier.urihttp://hdl.handle.net/10397/113186-
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‐NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.en_US
dc.rightsThe following publication Wang, J., Shen, Y., Awange, J., Song, Y., Yang, L., Chen, Q., & Kasedde, A. (2025). Reconstructing total water storage anomalies over the Lake Victoria Basin (1971–2022) using an enhanced RecNet model. Geophysical Research Letters, 52, e2024GL114005 is available at https://doi.org/10.1029/2024GL114005.en_US
dc.titleReconstructing total water storage anomalies over the Lake Victoria Basin (1971–2022) using an enhanced RecNet modelen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume52-
dc.identifier.issue9-
dc.identifier.doi10.1029/2024GL114005-
dcterms.abstractRelatively short records of Total Water Storage Anomalies (TWSA) from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On (GRACE-FO) missions have impeded our understanding of their full range and long-term variability over the Lake Victoria Basin (LVB). This study introduces an Enhanced RecNet (ERecNet) to reconstruct the LVB's TWSA from 1971 to 2022 using precipitation and Lake Victoria's level data. ERecNet integrates a multi-layer perceptron and a combination of gridded and basin-averaged loss functions for improving reconstruction performance. Our results reveal that ERecNet can successfully reconstruct the LVB's TWSA variations, outperforming hydrological models and reanalysis products in capturing the TWSA trends and amplitudes. The reconstruction aligns closely with the lake level and precipitation patterns while effectively closing the LVB's water balance budget. This study provides the first reconstruction of both human- and climate-driven TWSA data over the LVB, offering valuable insights into its long-term hydrological variability.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGeophysical research letters, 16 May 2025, v. 52, no. 9, e2024GL114005-
dcterms.isPartOfGeophysical research letters-
dcterms.issued2025-05-16-
dc.identifier.scopus2-s2.0-105004168393-
dc.identifier.eissn1944-8007-
dc.identifier.artne2024GL114005-
dc.description.validate202505 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe National Natural Science Foundation of China (Grants 42192532 and 42274005); the China Scholarship Council (Grant 202306260241)en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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