Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6151-2021
© Author(s) 2021. 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-25-6151-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Can we use precipitation isotope outputs of isotopic general circulation models to improve hydrological modeling in large mountainous catchments on the Tibetan Plateau?
Department of Hydraulic Engineering, State Key Laboratory of
Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Zhihua He
Centre for Hydrology, University of Saskatchewan, Saskatchewan, Canada
Department of Hydraulic Engineering, State Key Laboratory of
Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Zhongwang Wei
Guangdong Province Key Laboratory for Climate Change and Natural
Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University,
Guangzhou, Guangdong, China
Lide Tian
Institute of International Rivers and Eco-security, Yunnan
University, Kunming, China
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Cited
27 citations as recorded by crossref.
- Multicentury flow reconstruction at four sites along the Yarlung Zangbo River J. Zeng et al.
- Uncertainty of Temporal and Spatial δ2H Interpolation on Young Water Fraction Estimates Using the StorAge Selection Function in Subtropical Mountain Catchments J. Chen et al.
- Impact of Snowmelt Conditions on the Isotopic Composition of the Surface Waters of the Upper Ob River during the Flood Period T. Papina et al.
- Evaluating input data sources for isotope‐enabled rainfall‐runoff models A. Watson et al.
- Reducing hydrological uncertainty in large mountainous basins: the role of isotope, snow cover, and glacier dynamics in capturing streamflow seasonality D. Avesani et al.
- Diagnosis of atmospheric circulation shifts in the central Tibetan Plateau: Evidence from stable isotopes Y. Li et al.
- imc-precip-iso: open monthly stable isotope data of precipitation over the Indonesian Maritime Continent R. Suwarman et al.
- Using Machine Learning to Explore Changes in Atmospheric Water Vapor Stable Isotopes: A Case Study at Muztagh Ata, Western Tibetan Plateau B. Shang & J. Gao
- Mixing and transformation processes of water sources in the lower Yarlung Tsangpo River: Insights from δ18O, Δ17O, 222Rn, and hydrochemistry Z. Wang et al.
- Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes
- Validation and Bias Correction of Monthly δ18O Precipitation Time Series from ECHAM5-Wiso Model in Central Europe V. Salamalikis & A. Argiriou
- Assessing the influence of water sampling strategy on the performance of tracer-aided hydrological modeling in a mountainous basin on the Tibetan Plateau Y. Nan et al.
- Glacier meltwater has limited contributions to the total runoff in the major rivers draining the Tibetan Plateau Y. Nan et al.
- Corrected ERA5 Precipitation by Machine Learning Significantly Improved Flow Simulations for the Third Pole Basins H. Sun et al.
- Altitude Correction of GCM-Simulated Precipitation Isotopes in a Valley Topography of the Chinese Loess Plateau Y. Xiao et al.
- Isotope data-constrained hydrological model improves soil moisture simulation and runoff source apportionment Y. Nan & F. Tian
- How does the mixing assumption influence the distributed tracer-aided hydrological model? Y. Nan et al.
- Spatial pattern of amount effect of daily precipitation isotopes in China: A consideration of seasonality based on observation and simulation Y. Qian et al.
- Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian
- Negative Indian Ocean Dipole amplifies the altitude gradient of precipitation stable isotopes in the southeastern Tibetan Plateau J. Yang et al.
- Enhancing large-scale streamflow prediction by coupling structural inductive bias with meta-learning X. Tang et al.
- Longer simulation time step of the tracer-aided hydrological model estimates lower contribution of slow runoff components Y. Nan et al.
- Hybrid hydrological modeling for large alpine basins: a semi-distributed approach B. Li et al.
- EcoTWIN 1.0: a fully distributed tracer-aided ecohydrological model tracking water, isotopes, and nutrients S. Wu et al.
- Regional contributions of climate change and human activities to altered flow of the Lancang-mekong river K. Zhang et al.
- Influence of seasonal sea-ice loss on Arctic precipitation δ18O: a GCM-based analysis of monthly data W. Song et al.
- Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau B. Li et al.
27 citations as recorded by crossref.
- Multicentury flow reconstruction at four sites along the Yarlung Zangbo River J. Zeng et al.
- Uncertainty of Temporal and Spatial δ2H Interpolation on Young Water Fraction Estimates Using the StorAge Selection Function in Subtropical Mountain Catchments J. Chen et al.
- Impact of Snowmelt Conditions on the Isotopic Composition of the Surface Waters of the Upper Ob River during the Flood Period T. Papina et al.
- Evaluating input data sources for isotope‐enabled rainfall‐runoff models A. Watson et al.
- Reducing hydrological uncertainty in large mountainous basins: the role of isotope, snow cover, and glacier dynamics in capturing streamflow seasonality D. Avesani et al.
- Diagnosis of atmospheric circulation shifts in the central Tibetan Plateau: Evidence from stable isotopes Y. Li et al.
- imc-precip-iso: open monthly stable isotope data of precipitation over the Indonesian Maritime Continent R. Suwarman et al.
- Using Machine Learning to Explore Changes in Atmospheric Water Vapor Stable Isotopes: A Case Study at Muztagh Ata, Western Tibetan Plateau B. Shang & J. Gao
- Mixing and transformation processes of water sources in the lower Yarlung Tsangpo River: Insights from δ18O, Δ17O, 222Rn, and hydrochemistry Z. Wang et al.
- Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes
- Validation and Bias Correction of Monthly δ18O Precipitation Time Series from ECHAM5-Wiso Model in Central Europe V. Salamalikis & A. Argiriou
- Assessing the influence of water sampling strategy on the performance of tracer-aided hydrological modeling in a mountainous basin on the Tibetan Plateau Y. Nan et al.
- Glacier meltwater has limited contributions to the total runoff in the major rivers draining the Tibetan Plateau Y. Nan et al.
- Corrected ERA5 Precipitation by Machine Learning Significantly Improved Flow Simulations for the Third Pole Basins H. Sun et al.
- Altitude Correction of GCM-Simulated Precipitation Isotopes in a Valley Topography of the Chinese Loess Plateau Y. Xiao et al.
- Isotope data-constrained hydrological model improves soil moisture simulation and runoff source apportionment Y. Nan & F. Tian
- How does the mixing assumption influence the distributed tracer-aided hydrological model? Y. Nan et al.
- Spatial pattern of amount effect of daily precipitation isotopes in China: A consideration of seasonality based on observation and simulation Y. Qian et al.
- Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau Y. Nan & F. Tian
- Negative Indian Ocean Dipole amplifies the altitude gradient of precipitation stable isotopes in the southeastern Tibetan Plateau J. Yang et al.
- Enhancing large-scale streamflow prediction by coupling structural inductive bias with meta-learning X. Tang et al.
- Longer simulation time step of the tracer-aided hydrological model estimates lower contribution of slow runoff components Y. Nan et al.
- Hybrid hydrological modeling for large alpine basins: a semi-distributed approach B. Li et al.
- EcoTWIN 1.0: a fully distributed tracer-aided ecohydrological model tracking water, isotopes, and nutrients S. Wu et al.
- Regional contributions of climate change and human activities to altered flow of the Lancang-mekong river K. Zhang et al.
- Influence of seasonal sea-ice loss on Arctic precipitation δ18O: a GCM-based analysis of monthly data W. Song et al.
- Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau B. Li et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
Hydrological modeling has large problems of uncertainty in cold regions. Tracer-aided hydrological models are increasingly used to reduce uncertainty and refine the parameterizations of hydrological processes, with limited application in large basins due to the unavailability of spatially distributed precipitation isotopes. This study explored the utility of isotopic general circulation models in driving a tracer-aided hydrological model in a large basin on the Tibetan Plateau.
Hydrological modeling has large problems of uncertainty in cold regions. Tracer-aided...