Articles | Volume 26, issue 15
https://doi.org/10.5194/hess-26-4187-2022
© Author(s) 2022. 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-26-4187-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2022
Research article |
| 12 Aug 2022
| 12 Aug 2022
Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau
Hongkai Gao
CORRESPONDING AUTHOR
Key Laboratory of Geographic Information Science (Ministry of Education of China), East China Normal University, Shanghai, China
School of Geographical Sciences, East China Normal University, Shanghai, China
State Key Laboratory of Tibetan Plateau Earth System and Resources
Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Chuntan Han
Qilian Alpine Ecology and Hydrology Research Station, Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Rensheng Chen
Qilian Alpine Ecology and Hydrology Research Station, Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Zijing Feng
School of Geographical Sciences, East China Normal University, Shanghai, China
Kang Wang
Key Laboratory of Geographic Information Science (Ministry of Education of China), East China Normal University, Shanghai, China
School of Geographical Sciences, East China Normal University, Shanghai, China
Fabrizio Fenicia
Eawag, Swiss Federal Institute of Aquatic Science and Technology,
Dubendorf, Switzerland
Hubert Savenije
Water Resources Section, Delft University of Technology, Delft, the Netherlands
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Cited
23 citations as recorded by crossref.
- Developing a Physics‐Informed Deep Learning Model to Simulate Runoff Response to Climate Change in Alpine Catchments L. Zhong et al. 10.1029/2022WR034118
- ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region L. Liu et al. 10.1016/j.ejrh.2024.101792
- Soil freeze/thaw dynamics strongly influences runoff regime in a Tibetan permafrost watershed: Insights from a process-based model H. Jiang et al. 10.1016/j.catena.2024.108182
- Analysis of runoff and sediment evolution and attribution in the source regions of the Yangtze and Yellow Rivers S. Xu et al. 10.1016/j.ejrh.2024.102110
- Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China Z. Chang et al. 10.5194/hess-28-3897-2024
- Insights into runoff changes in the source region of Yellow River under frozen ground degradation J. Yang et al. 10.1016/j.jhydrol.2022.128892
- Subsurface evolution of the seasonally frozen ground on the northeastern Tibetan Plateau from a perspective of seismic interferometry C. Yu et al. 10.1093/gji/ggaf042
- Application of an improved distributed hydrological model based on the soil–gravel structure in the Niyang River basin, Qinghai–Tibet Plateau P. Wang et al. 10.5194/hess-27-2681-2023
- Complex streamflow responses to climate warming in five river basins in South Yakutia, Russia P. Wang & R. Shpakova 10.3389/fenvs.2022.1033943
- Response of runoff and its components to climate change in the Manas River of the Tian Shan Mountains Z. Yang & P. Bai 10.1016/j.accre.2024.01.005
- Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes L. Martin et al. 10.5194/hess-27-4409-2023
- HESS Opinions: Are soils overrated in hydrology? H. Gao et al. 10.5194/hess-27-2607-2023
- Evolution trends and driving factors of groundwater storage, recharge, and discharge in the Qinghai-Tibet Plateau: Study progress and challenges P. Xu et al. 10.1016/j.jhydrol.2024.130815
- Prediction of Qinghai Lake's level under future climate change: A hybrid modeling approach based on hydrological model and deep learning method K. Liu et al. 10.1016/j.ejrh.2025.102283
- Pairing remote sensing and clustering in landscape hydrology for large-scale change identification: an application to the subarctic watershed of the George River (Nunavik, Canada) E. Sicaud et al. 10.5194/hess-28-65-2024
- High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau T. Chen et al. 10.1038/s41597-024-03214-2
- Evaluation of 12 precipitation products and comparison of 8 multi-model averaging methods for estimating precipitation in the Qilian Mountains, Northwest China Y. Yang et al. 10.1016/j.atmosres.2023.107075
- Application of hydrological models to streamflow estimation at ungauged transboundary Himalayan River basin, Nepal B. Budhathoki et al. 10.2166/nh.2024.026
- Water budgets in an arid and alpine permafrost basin: Observations from the High Mountain Asia Q. Wang et al. 10.1016/j.accre.2024.09.005
- Root zone in the Earth system H. Gao et al. 10.5194/hess-28-4477-2024
- Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. 10.1016/j.scitotenv.2023.163285
- Development of a modular distributed hydro-thermal coupled hydrological model for cold regions G. Linmao et al. 10.1016/j.jhydrol.2024.132099
- Attributing the streamflow variation by incorporating glacier mass balance and frozen ground into the Budyko framework in alpine rivers L. Yang et al. 10.1016/j.jhydrol.2023.130438
23 citations as recorded by crossref.
- Developing a Physics‐Informed Deep Learning Model to Simulate Runoff Response to Climate Change in Alpine Catchments L. Zhong et al. 10.1029/2022WR034118
- ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region L. Liu et al. 10.1016/j.ejrh.2024.101792
- Soil freeze/thaw dynamics strongly influences runoff regime in a Tibetan permafrost watershed: Insights from a process-based model H. Jiang et al. 10.1016/j.catena.2024.108182
- Analysis of runoff and sediment evolution and attribution in the source regions of the Yangtze and Yellow Rivers S. Xu et al. 10.1016/j.ejrh.2024.102110
- Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China Z. Chang et al. 10.5194/hess-28-3897-2024
- Insights into runoff changes in the source region of Yellow River under frozen ground degradation J. Yang et al. 10.1016/j.jhydrol.2022.128892
- Subsurface evolution of the seasonally frozen ground on the northeastern Tibetan Plateau from a perspective of seismic interferometry C. Yu et al. 10.1093/gji/ggaf042
- Application of an improved distributed hydrological model based on the soil–gravel structure in the Niyang River basin, Qinghai–Tibet Plateau P. Wang et al. 10.5194/hess-27-2681-2023
- Complex streamflow responses to climate warming in five river basins in South Yakutia, Russia P. Wang & R. Shpakova 10.3389/fenvs.2022.1033943
- Response of runoff and its components to climate change in the Manas River of the Tian Shan Mountains Z. Yang & P. Bai 10.1016/j.accre.2024.01.005
- Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes L. Martin et al. 10.5194/hess-27-4409-2023
- HESS Opinions: Are soils overrated in hydrology? H. Gao et al. 10.5194/hess-27-2607-2023
- Evolution trends and driving factors of groundwater storage, recharge, and discharge in the Qinghai-Tibet Plateau: Study progress and challenges P. Xu et al. 10.1016/j.jhydrol.2024.130815
- Prediction of Qinghai Lake's level under future climate change: A hybrid modeling approach based on hydrological model and deep learning method K. Liu et al. 10.1016/j.ejrh.2025.102283
- Pairing remote sensing and clustering in landscape hydrology for large-scale change identification: an application to the subarctic watershed of the George River (Nunavik, Canada) E. Sicaud et al. 10.5194/hess-28-65-2024
- High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau T. Chen et al. 10.1038/s41597-024-03214-2
- Evaluation of 12 precipitation products and comparison of 8 multi-model averaging methods for estimating precipitation in the Qilian Mountains, Northwest China Y. Yang et al. 10.1016/j.atmosres.2023.107075
- Application of hydrological models to streamflow estimation at ungauged transboundary Himalayan River basin, Nepal B. Budhathoki et al. 10.2166/nh.2024.026
- Water budgets in an arid and alpine permafrost basin: Observations from the High Mountain Asia Q. Wang et al. 10.1016/j.accre.2024.09.005
- Root zone in the Earth system H. Gao et al. 10.5194/hess-28-4477-2024
- Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. 10.1016/j.scitotenv.2023.163285
- Development of a modular distributed hydro-thermal coupled hydrological model for cold regions G. Linmao et al. 10.1016/j.jhydrol.2024.132099
- Attributing the streamflow variation by incorporating glacier mass balance and frozen ground into the Budyko framework in alpine rivers L. Yang et al. 10.1016/j.jhydrol.2023.130438
Latest update: 01 Apr 2025
Short summary
Frozen soil hydrology is one of the 23 unsolved problems in hydrology (UPH). In this study, we developed a novel conceptual frozen soil hydrological model, FLEX-Topo-FS. The model successfully reproduced the soil freeze–thaw process, and its impacts on hydrologic connectivity, runoff generation, and groundwater. We believe this study is a breakthrough for the 23 UPH, giving us new insights on frozen soil hydrology, with broad implications for predicting cold region hydrology in future.
Frozen soil hydrology is one of the 23 unsolved problems in hydrology (UPH). In this study, we...
