Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics
Study region: The Meichuan Basin, China Study focus: Soil water processes are critical in hydrological modeling, yet most studies focus on surface moisture due to data limitations, which hampers accurate simulations of root zone soil moisture dynamics. To address this gap, we developed three calibra...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824004749 |
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| author | Yan He Huihui Mao Chen Wang Jinghao Hu Sarawut Ninsawat Xianfeng Song Guifei Jing Runkui Li Mingyu Wang Zheng Duan |
| author_facet | Yan He Huihui Mao Chen Wang Jinghao Hu Sarawut Ninsawat Xianfeng Song Guifei Jing Runkui Li Mingyu Wang Zheng Duan |
| author_sort | Yan He |
| collection | DOAJ |
| description | Study region: The Meichuan Basin, China Study focus: Soil water processes are critical in hydrological modeling, yet most studies focus on surface moisture due to data limitations, which hampers accurate simulations of root zone soil moisture dynamics. To address this gap, we developed three calibration schemes: M1 and M2, two benchmarks that rely solely on traditional streamflow data and incorporate both streamflow data and top-layer soil moisture data, respectively. In contrast, M3 integrates both streamflow data and multi-layer soil moisture information from SMCI 1.0. These schemes aim to assess the added value of integrating multi-layer soil moisture data to enhance hydrological modeling performance. New hydrological insights for the region: The M3 scheme yielded the most accurate simulation of the spatial and temporal distribution of multi-layer soil moisture compared to M1 and M2 benchmarks. In this subtropical humid basin, the M3 model effectively captured the pronounced fluctuations in soil moisture driven by frequent and intense precipitation events, as well as the seasonal variability between wet and dry periods. M3 also improved the accuracy of evapotranspiration simulations across all subbasins, while maintaining acceptable streamflow simulations at gauge stations. These findings underscore the importance of using advanced multi-layer soil moisture data in models to regulate hydrological processes and control water distribution within the hydrological cycle. |
| format | Article |
| id | doaj-art-6dc83f0a7cef47ea9e57231b286c1f0a |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-6dc83f0a7cef47ea9e57231b286c1f0a2025-01-22T05:42:07ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102125Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamicsYan He0Huihui Mao1Chen Wang2Jinghao Hu3Sarawut Ninsawat4Xianfeng Song5Guifei Jing6Runkui Li7Mingyu Wang8Zheng Duan9College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaAsian Institute of Technology, Pathum Thani 12120, ThailandCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Corresponding author.Beihang University, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaDepartment of Physical Geography and Ecosystem Science, Lund University, Lund 22362, SwedenStudy region: The Meichuan Basin, China Study focus: Soil water processes are critical in hydrological modeling, yet most studies focus on surface moisture due to data limitations, which hampers accurate simulations of root zone soil moisture dynamics. To address this gap, we developed three calibration schemes: M1 and M2, two benchmarks that rely solely on traditional streamflow data and incorporate both streamflow data and top-layer soil moisture data, respectively. In contrast, M3 integrates both streamflow data and multi-layer soil moisture information from SMCI 1.0. These schemes aim to assess the added value of integrating multi-layer soil moisture data to enhance hydrological modeling performance. New hydrological insights for the region: The M3 scheme yielded the most accurate simulation of the spatial and temporal distribution of multi-layer soil moisture compared to M1 and M2 benchmarks. In this subtropical humid basin, the M3 model effectively captured the pronounced fluctuations in soil moisture driven by frequent and intense precipitation events, as well as the seasonal variability between wet and dry periods. M3 also improved the accuracy of evapotranspiration simulations across all subbasins, while maintaining acceptable streamflow simulations at gauge stations. These findings underscore the importance of using advanced multi-layer soil moisture data in models to regulate hydrological processes and control water distribution within the hydrological cycle.http://www.sciencedirect.com/science/article/pii/S2214581824004749Spatio-temporal multi-layer soil moisture data SMCIStreamflow, evapotranspirationMultivariate calibrationWater balanceHydrological modeling |
| spellingShingle | Yan He Huihui Mao Chen Wang Jinghao Hu Sarawut Ninsawat Xianfeng Song Guifei Jing Runkui Li Mingyu Wang Zheng Duan Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics Journal of Hydrology: Regional Studies Spatio-temporal multi-layer soil moisture data SMCI Streamflow, evapotranspiration Multivariate calibration Water balance Hydrological modeling |
| title | Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics |
| title_full | Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics |
| title_fullStr | Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics |
| title_full_unstemmed | Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics |
| title_short | Advancing hydrological modeling through multivariate calibration of multi-layer soil moisture dynamics |
| title_sort | advancing hydrological modeling through multivariate calibration of multi layer soil moisture dynamics |
| topic | Spatio-temporal multi-layer soil moisture data SMCI Streamflow, evapotranspiration Multivariate calibration Water balance Hydrological modeling |
| url | http://www.sciencedirect.com/science/article/pii/S2214581824004749 |
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