45 citations as recorded by crossref.

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2. Contributions from climate variation and human activities to flow regime change of Tonle Sap Lake from 2001 to 2020 K. Morovati et al. https://doi.org/10.1016/j.jhydrol.2022.128800
3. Correcting the TRMM rainfall product for hydrological modelling in sparsely-gauged mountainous basins Z. He et al. https://doi.org/10.1080/02626667.2016.1222532
4. A meta-analysis based review of quantifying the contributions of runoff components to streamflow in glacierized basins Z. He et al. https://doi.org/10.1016/j.jhydrol.2021.126890
5. Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change B. Guse et al. https://doi.org/10.1002/2016WR018894
6. Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. https://doi.org/10.2166/nh.2018.176
7. Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment T. Piovano et al. https://doi.org/10.5194/hess-23-2507-2019
8. 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. https://doi.org/10.5194/hess-21-5089-2017
9. Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and future climate J. Shokory et al. https://doi.org/10.2166/nh.2025.082
10. 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. https://doi.org/10.1029/2020WR027153
11. Extra constraint on actual evaporation in a semi-distributed conceptual model to improve model physical realism S. Hsu et al. https://doi.org/10.1080/02626667.2025.2468846
12. Multi-Criteria Process-Based Calibration Using Functional Data Analysis to Improve Hydrological Model Realism S. Larabi et al. https://doi.org/10.1007/s11269-017-1803-6
13. Glacio‐hydrological model calibration and evaluation M. van Tiel et al. https://doi.org/10.1002/wat2.1483
14. Hydrodynamics of a high Alpine catchment characterized by four natural tracers A. Michelon et al. https://doi.org/10.5194/hess-27-1403-2023
15. Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. https://doi.org/10.1016/j.envsoft.2024.106189
16. Variation of Runoff and Runoff Components of the Lhasa River Basin in the Qinghai-Tibet Plateau under Climate Change X. Xiang et al. https://doi.org/10.3390/atmos13111848
17. Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. https://doi.org/10.1029/2019WR025605
18. Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China W. Qi et al. https://doi.org/10.1175/JHM-D-15-0212.1
19. Intercomparisons of Rainfall Estimates from TRMM and GPM Multisatellite Products over the Upper Mekong River Basin Z. He et al. https://doi.org/10.1175/JHM-D-16-0198.1
20. Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties F. Fenicia et al. https://doi.org/10.1002/2017WR021616
21. Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli https://doi.org/10.1002/hyp.10972
22. Modeling the total outflow of reservoirs using Wavelet-developed approaches: a case study of the Mahabad Dam reservoir, Iran A. Emadi et al. https://doi.org/10.2166/ws.2023.291
23. 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. https://doi.org/10.5194/hess-26-4147-2022
24. Constraining hydrological model parameters using water isotopic compositions in a glacierized basin, Central Asia Z. He et al. https://doi.org/10.1016/j.jhydrol.2019.01.048
25. Socio-hydrologic modeling of the dynamics of cooperation in the transboundary Lancang–Mekong River Y. Lu et al. https://doi.org/10.5194/hess-25-1883-2021
26. Modeling the impact of climate change on streamflow in glacier/snow-fed northern Tianshan basin S. Liu et al. https://doi.org/10.1016/j.ejrh.2023.101552
27. 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. https://doi.org/10.1016/j.scitotenv.2024.172201
28. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand https://doi.org/10.5194/hess-20-1433-2016
29. Understanding the discharge regime of a glacierized alpine catchment in the Tianshan Mountains using an improved HBV-D hydrological model X. Wang et al. https://doi.org/10.1016/j.gloplacha.2018.09.017
30. Reflection of Daily, Seasonal and Interannual Variations in Run-Off of a Small River in the Water Isotopic Composition (δ2H, δ18O): A Case of the Ala-Archa Mountain River Basin with Glaciation (Kyrgyzstan, Central Asia) I. Tokarev et al. https://doi.org/10.3390/w16111632
31. How Hydrologic Processes Differ Spatially in a Large Basin: Multisite and Multiobjective Modeling in the Tarim River Basin G. Fang et al. https://doi.org/10.1029/2018JD028423
32. Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach S. Larabi et al. https://doi.org/10.5194/hess-27-3241-2023
33. A step-wise semi-distributed simulation approach to characterize a karst aquifer and to support dam construction in a data-scarce environment R. Adinehvand et al. https://doi.org/10.1016/j.jhydrol.2017.08.056
34. Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin Z. He et al. https://doi.org/10.5194/hess-24-3289-2020
35. An enhanced Budyko-based water balance model simulating monthly runoff in headwater catchments of the Tarim River Basin S. Liu et al. https://doi.org/10.1016/j.ejrh.2025.102576
36. The Value of Hydrograph Partitioning Curves for Calibrating Hydrological Models in Glacierized Basins Z. He et al. https://doi.org/10.1002/2017WR021966
37. Impact of the model structure and calibration strategy on baseflow modeling in the German low mountain range M. Kissel et al. https://doi.org/10.2166/hydro.2024.077
38. A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework M. Shafii et al. https://doi.org/10.1002/2016WR019736
39. Improving the Accuracy of Dam Inflow Predictions Using a Long Short-Term Memory Network Coupled with Wavelet Transform and Predictor Selection T. Tran et al. https://doi.org/10.3390/math9050551
40. Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts Y. Li et al. https://doi.org/10.3390/w10020177
41. Impacts of elevational variability of climate and frozen ground on streamflow in a glacierized catchment in Tibetan Plateau M. Gao et al. https://doi.org/10.1016/j.jhydrol.2023.129312
42. Improving streamflow and flood simulations in three headwater catchments of the Tarim River based on a coupled glacier-hydrological model N. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.127048
43. Can we use precipitation isotope outputs of isotopic general circulation models to improve hydrological modeling in large mountainous catchments on the Tibetan Plateau? Y. Nan et al. https://doi.org/10.5194/hess-25-6151-2021
44. Projected climate change impacts on future streamflow of the Yarlung Tsangpo-Brahmaputra River R. Xu et al. https://doi.org/10.1016/j.gloplacha.2019.01.012
45. The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau Y. Nan et al. https://doi.org/10.5194/hess-25-3653-2021