Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model
Abstract Relatively 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 introdu...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Geophysical Research Letters |
| Online Access: | https://doi.org/10.1029/2024GL114005 |
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| _version_ | 1850184508907716608 |
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| author | Jielong Wang Yunzhong Shen Joseph Awange Yongze Song Ling Yang Qiujie Chen Allan Kasedde |
| author_facet | Jielong Wang Yunzhong Shen Joseph Awange Yongze Song Ling Yang Qiujie Chen Allan Kasedde |
| author_sort | Jielong Wang |
| collection | DOAJ |
| description | Abstract Relatively 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. |
| format | Article |
| id | doaj-art-b4aa1a7ce5df47fd9d66cdfd19684507 |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-b4aa1a7ce5df47fd9d66cdfd196845072025-08-20T02:17:01ZengWileyGeophysical Research Letters0094-82761944-80072025-05-01529n/an/a10.1029/2024GL114005Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet ModelJielong Wang0Yunzhong Shen1Joseph Awange2Yongze Song3Ling Yang4Qiujie Chen5Allan Kasedde6College of Surveying and Geo‐informatics Tongji University Shanghai PR ChinaCollege of Surveying and Geo‐informatics Tongji University Shanghai PR ChinaDepartment of Land Surveying and Geo‐Informatics The Hong Kong Polytechnic University Hung Hom Hong KongSchool of Design and the Built Environment Curtin University Perth WA AustraliaCollege of Surveying and Geo‐informatics Tongji University Shanghai PR ChinaCollege of Surveying and Geo‐informatics Tongji University Shanghai PR ChinaStrategy, Research and Business Development Unit, Uganda Electricity Generation Company Limited Kampala UgandaAbstract Relatively 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.https://doi.org/10.1029/2024GL114005 |
| spellingShingle | Jielong Wang Yunzhong Shen Joseph Awange Yongze Song Ling Yang Qiujie Chen Allan Kasedde Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model Geophysical Research Letters |
| title | Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model |
| title_full | Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model |
| title_fullStr | Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model |
| title_full_unstemmed | Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model |
| title_short | Reconstructing Total Water Storage Anomalies Over the Lake Victoria Basin (1971–2022) Using an Enhanced RecNet Model |
| title_sort | reconstructing total water storage anomalies over the lake victoria basin 1971 2022 using an enhanced recnet model |
| url | https://doi.org/10.1029/2024GL114005 |
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