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
4 citations as recorded by crossref.
- Evaluation of gridded cropland phosphorus budget and use efficiency in China S. You et al. 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 10.1007/s00704-025-05424-z
- 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. 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. 10.1016/j.agwat.2025.109507
4 citations as recorded by crossref.
- Evaluation of gridded cropland phosphorus budget and use efficiency in China S. You et al. 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 10.1007/s00704-025-05424-z
- 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. 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. 10.1016/j.agwat.2025.109507
Latest update: 11 May 2025
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...
