Articles | Volume 19, issue 4
https://doi.org/10.5194/hess-19-1807-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-1807-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Apr 2015
Research article |
| 17 Apr 2015
Diagnostic calibration of a hydrological model in a mountain area by hydrograph partitioning
Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
H. V. Gupta
Department of Hydrology and Water Resources, The University of Arizona, Tucson, Arizona 85721, USA
H. C. Hu
Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
H. P. Hu
Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
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- What can we learn from multi-data calibration of a process-based ecohydrological model? S. Kuppel et al. 10.1016/j.envsoft.2018.01.001
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- Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment T. Piovano et al. 10.5194/hess-23-2507-2019
- Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model P. Ala-aho et al. 10.5194/hess-21-5089-2017
- Technical Report—Methods: A Diagnostic Approach to Analyze the Direction of Change in Model Outputs Based on Global Variations in the Model Inputs A. Wang et al. 10.1029/2020WR027153
- Multi-Criteria Process-Based Calibration Using Functional Data Analysis to Improve Hydrological Model Realism S. Larabi et al. 10.1007/s11269-017-1803-6
- Glacio‐hydrological model calibration and evaluation M. van Tiel et al. 10.1002/wat2.1483
- Hydrodynamics of a high Alpine catchment characterized by four natural tracers A. Michelon et al. 10.5194/hess-27-1403-2023
- Variation of Runoff and Runoff Components of the Lhasa River Basin in the Qinghai-Tibet Plateau under Climate Change X. Xiang et al. 10.3390/atmos13111848
- Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
- Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China W. Qi et al. 10.1175/JHM-D-15-0212.1
- Intercomparisons of Rainfall Estimates from TRMM and GPM Multisatellite Products over the Upper Mekong River Basin Z. He et al. 10.1175/JHM-D-16-0198.1
- Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties F. Fenicia et al. 10.1002/2017WR021616
- Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli 10.1002/hyp.10972
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- 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. 10.5194/hess-26-4147-2022
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- Socio-hydrologic modeling of the dynamics of cooperation in the transboundary Lancang–Mekong River Y. Lu et al. 10.5194/hess-25-1883-2021
- Modeling the impact of climate change on streamflow in glacier/snow-fed northern Tianshan basin S. Liu et al. 10.1016/j.ejrh.2023.101552
- How and when glacial runoff is important: Tracing dynamics of meltwater and rainfall contribution to river runoff from headwaters to lowland in the Caucasus Mountains E. Rets et al. 10.1016/j.scitotenv.2024.172201
- HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
- Understanding the discharge regime of a glacierized alpine catchment in the Tianshan Mountains using an improved HBV-D hydrological model X. Wang et al. 10.1016/j.gloplacha.2018.09.017
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- A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework M. Shafii et al. 10.1002/2016WR019736
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