Articles | Volume 28, issue 11
https://doi.org/10.5194/hess-28-2375-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-2375-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jun 2024
Research article |
| 05 Jun 2024
| 05 Jun 2024
Evaluation of root zone soil moisture products over the Huai River basin
En Liu
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
CNRM, Université de Toulouse, Météo-France, CNRS, 31057, Toulouse, France
Yonghua Zhu
CORRESPONDING AUTHOR
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Jean-Christophe Calvet
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS, 31057, Toulouse, France
Haishen Lü
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Bertrand Bonan
CNRM, Université de Toulouse, Météo-France, CNRS, 31057, Toulouse, France
Jingyao Zheng
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Qiqi Gou
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Xiaoyi Wang
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Zhenzhou Ding
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Haiting Xu
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Ying Pan
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
Tingxing Chen
The National Key Laboratory of Water Disaster Prevention,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
National Cooperative Innovation Center for Water Safety & Hydro-Science, Joint International Research Laboratory of Global Change and Water Cycle, Hohai University, Nanjing 210098, China
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Cited
19 citations as recorded by crossref.
- Enhanced sequential soil moisture estimation using an ensemble deep learning filter without linear-Gaussian constraints T. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134810
- Space–Air–Ground Synergistic Approaches for Field Water Status Precision Monitoring: A Review T. Li et al. https://doi.org/10.3390/rs18101542
- From grid to ground: how well do gridded products represent soil moisture dynamics in natural ecosystems during precipitation events? D. Núñez-Ibarra et al. https://doi.org/10.5194/hess-30-1813-2026
- DeepProfile: An inverse fusion framework for root zone soil moisture profile estimation L. Zhu et al. https://doi.org/10.1016/j.rse.2026.115408
- Evaluating Multi-Source Soil Moisture Products for Root-Zone Soil Moisture Representation in Yunnan, China R. Wang et al. https://doi.org/10.3390/rs18101669
- Bridging the SMAP Era and the Presatellite Period: Long-Term Surface Soil Moisture Reconstruction in a Humid and Semihumid Monsoon Basin Since 1951 Y. Yao et al. https://doi.org/10.1109/JSTARS.2026.3703441
- High-resolution root-zone soil moisture for agricultural drought assessment using Sentinel-2 and hybrid modeling in the Lake Tana Basin, Ethiopia H. Eshetie et al. https://doi.org/10.1016/j.rsase.2026.101900
- Estimation of the monthly change in soil water storage in two watersheds of contrasting vegetation cover C. Fu et al. https://doi.org/10.1016/j.catena.2026.109925
- Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China E. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133304
- Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product N. Ouaadi et al. https://doi.org/10.1016/j.agwat.2025.109507
- Hydropedological clustering: improving the representation of low streamflows in a semi-distributed hydrological model F. Gimeno et al. https://doi.org/10.1016/j.jhydrol.2025.134787
- A UAV-based method for root zone soil moisture modeling of different farmland scale with grain and economic crops J. Wang et al. https://doi.org/10.1016/j.agwat.2025.109932
- Distinguishing drought and flash drought: definitions, processes, and consequences A. Sabut et al. https://doi.org/10.1016/j.jhydrol.2026.135851
- Exploring the evolution law of watershed water regulation function and its stability using a novel assessment system framework J. Yao et al. https://doi.org/10.1016/j.jhydrol.2025.133746
- Unraveling spatiotemporal variability of water geochemistry and sulfate sources in a multi-tributary river system H. Su et al. https://doi.org/10.1016/j.jhydrol.2025.134073
- Evaluation of gridded cropland phosphorus budget and use efficiency in China S. You et al. https://doi.org/10.1016/j.jenvman.2024.122974
- Soil moisture prediction using a hybrid meta-model based on random forest and multilayer perceptron algorithm S. Kaur & N. Neeru https://doi.org/10.1007/s00704-025-05424-z
- Improvement of rootzone soil moisture estimation over the Tibetan Plateau based on the exponential filter model and Copernicus Climate Change Service (C3S) surface observations Y. Song et al. https://doi.org/10.1016/j.jhydrol.2025.133882
- Vegetation Transpiration Drives Root-Zone Soil Moisture Depletion in Subtropical Humid Regions: Evidence from GLDAS Catchment Simulations in Fujian Province Y. Xie et al. https://doi.org/10.3390/atmos16101180
19 citations as recorded by crossref.
- Enhanced sequential soil moisture estimation using an ensemble deep learning filter without linear-Gaussian constraints T. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134810
- Space–Air–Ground Synergistic Approaches for Field Water Status Precision Monitoring: A Review T. Li et al. https://doi.org/10.3390/rs18101542
- From grid to ground: how well do gridded products represent soil moisture dynamics in natural ecosystems during precipitation events? D. Núñez-Ibarra et al. https://doi.org/10.5194/hess-30-1813-2026
- DeepProfile: An inverse fusion framework for root zone soil moisture profile estimation L. Zhu et al. https://doi.org/10.1016/j.rse.2026.115408
- Evaluating Multi-Source Soil Moisture Products for Root-Zone Soil Moisture Representation in Yunnan, China R. Wang et al. https://doi.org/10.3390/rs18101669
- Bridging the SMAP Era and the Presatellite Period: Long-Term Surface Soil Moisture Reconstruction in a Humid and Semihumid Monsoon Basin Since 1951 Y. Yao et al. https://doi.org/10.1109/JSTARS.2026.3703441
- High-resolution root-zone soil moisture for agricultural drought assessment using Sentinel-2 and hybrid modeling in the Lake Tana Basin, Ethiopia H. Eshetie et al. https://doi.org/10.1016/j.rsase.2026.101900
- Estimation of the monthly change in soil water storage in two watersheds of contrasting vegetation cover C. Fu et al. https://doi.org/10.1016/j.catena.2026.109925
- Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China E. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133304
- Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product N. Ouaadi et al. https://doi.org/10.1016/j.agwat.2025.109507
- Hydropedological clustering: improving the representation of low streamflows in a semi-distributed hydrological model F. Gimeno et al. https://doi.org/10.1016/j.jhydrol.2025.134787
- A UAV-based method for root zone soil moisture modeling of different farmland scale with grain and economic crops J. Wang et al. https://doi.org/10.1016/j.agwat.2025.109932
- Distinguishing drought and flash drought: definitions, processes, and consequences A. Sabut et al. https://doi.org/10.1016/j.jhydrol.2026.135851
- Exploring the evolution law of watershed water regulation function and its stability using a novel assessment system framework J. Yao et al. https://doi.org/10.1016/j.jhydrol.2025.133746
- Unraveling spatiotemporal variability of water geochemistry and sulfate sources in a multi-tributary river system H. Su et al. https://doi.org/10.1016/j.jhydrol.2025.134073
- Evaluation of gridded cropland phosphorus budget and use efficiency in China S. You et al. https://doi.org/10.1016/j.jenvman.2024.122974
- Soil moisture prediction using a hybrid meta-model based on random forest and multilayer perceptron algorithm S. Kaur & N. Neeru https://doi.org/10.1007/s00704-025-05424-z
- Improvement of rootzone soil moisture estimation over the Tibetan Plateau based on the exponential filter model and Copernicus Climate Change Service (C3S) surface observations Y. Song et al. https://doi.org/10.1016/j.jhydrol.2025.133882
- Vegetation Transpiration Drives Root-Zone Soil Moisture Depletion in Subtropical Humid Regions: Evidence from GLDAS Catchment Simulations in Fujian Province Y. Xie et al. https://doi.org/10.3390/atmos16101180
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
Overestimated root zone soil moisture (RZSM) based on land surface models (LSMs) is attributed to overestimated precipitation and an underestimated ratio of transpiration to total evapotranspiration and performs better in the wet season. Underestimated SMOS L3 surface SM triggers the underestimated SMOS L4 RZSM, which performs better in the dry season due to the attenuated radiation in the wet season. LSMs should reduce and increase the frequency of wet and dry soil moisture, respectively.
Overestimated root zone soil moisture (RZSM) based on land surface models (LSMs) is attributed...
