49 citations as recorded by crossref.

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7. RNN-Based Monthly Inflow Prediction for Dez Dam in Iran Considering the Effect of Wavelet Pre-Processing and Uncertainty Analysis A. Adib et al. 10.3390/hydrology11090155
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9. Enhancing physically-based flood forecasts through fusion of long short-term memory neural network with unscented Kalman filter Y. Luo et al. 10.1016/j.jhydrol.2024.131819
10. Modeling oasis dynamics driven by ecological water diversion and implications for oasis restoration in arid endorheic basins F. Huang et al. 10.1016/j.jhydrol.2020.125774
11. Monitoring water storage decline over the Middle East M. Khaki & I. Hoteit 10.1016/j.jhydrol.2021.127166
12. Rainstorm‐generated sediment yield model based on soil moisture proxies (SMP) S. Gupta et al. 10.1002/hyp.13789
13. A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
14. Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis E. Moges et al. 10.3390/w13010028
15. Trade-offs between parameter constraints and model realism: a case study F. Jehn et al. 10.1038/s41598-019-46963-6
16. Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks A. Teweldebrhan et al. 10.3390/rs11010028
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18. Assessment of the structural uncertainty of hydrological models and its impact on flood inundation mapping I. Dasari & V. Vema 10.1080/02626667.2023.2271456
19. Impact of land use land cover changes on flow uncertainty in Siliana watershed of northwestern Tunisia I. El Ghoul et al. 10.1016/j.catena.2022.106733
20. State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
21. Copula function with Variational Bayesian Monte Carlo for unveiling uncertainty impacts on meteorological and agricultural drought propagation Q. Zhang et al. 10.1016/j.jhydrol.2023.129669
22. Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis H. Hsueh et al. 10.1029/2021WR030590
23. AR-GARCH with Exogenous Variables as a Postprocessing Model for Improving Streamflow Forecasts X. Zha et al. 10.1061/(ASCE)HE.1943-5584.0001955
24. Revealing the positive influence of young water fractions derived from stable isotopes on the robustness of karst water resources predictions K. Çallı et al. 10.1016/j.jhydrol.2023.129549
25. Crops as sensors: Using crop yield data to increase the robustness of hydrologic and biogeochemical models I. Ilampooranan et al. 10.1016/j.jhydrol.2020.125599
26. Eco-Compensation Schemes for Controlling Agricultural Non-Point Source Pollution in Maoli Lake Watershed Y. Zheng et al. 10.3390/w13111536
27. Hydrological data and modeling to combine and validate precipitation datasets relevant to hydrological applications A. Reis et al. 10.1016/j.ejrh.2022.101200
28. Comparison of MODIS and Model-Derived Snow-Covered Areas: Impact of Land Use and Solar Illumination Conditions N. Di Marco et al. 10.3390/geosciences10040134
29. Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling S. Shin et al. 10.1016/j.jhydrol.2023.129458
30. Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. 10.1016/j.jhydrol.2021.126020
31. Assessing Spatio-Temporal Hydrological Impacts of Climate Change in the Siliana Watershed, Northwestern Tunisia I. El Ghoul et al. 10.3390/atmos15101209
32. Impact of Catchment Discretization and Imputed Radiation on Model Response: A Case Study from Central Himalayan Catchment B. Bhattarai et al. 10.3390/w12092339
33. Accounting for model parameter uncertainty provides more robust projections of dissolved organic carbon dynamics to aid drinking water management R. Paíz et al. 10.1016/j.watres.2025.123238
34. Correlation among parameters and boundary conditions in river ice models P. Rokaya & K. Lindenschmidt 10.1007/s40808-019-00696-7
35. Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework J. Wong et al. 10.1002/esp.5140
36. Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin P. Kabuya et al. 10.1016/j.advwatres.2021.104093
37. Quantifying Uncertainty in Hydrological Drought Index Using Calibrated SWAT Model J. Kim et al. 10.1007/s12205-024-1029-0
38. Evaluation of Uncertainty in Stream Flow Prediction Using Monte Carlo Simulation for Watershed-Scale Hydrological Modeling P. Dey et al. 10.1061/JHYEFF.HEENG-6008
39. Uncertainties in future monsoon flow predictions in the context of projected climate change: A study of the Chaliyar River Basin S. Ansa Thasneem et al. 10.1016/j.envres.2023.115301
40. DREAM(LoAX): Simultaneous Calibration and Diagnosis for Tracer‐Aided Ecohydrological Models Under the Equifinality Thesis S. Wu et al. 10.1029/2024WR038779
41. Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al. 10.1029/2018WR023750
42. Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al. 10.5194/gmd-14-821-2021
43. On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes K. Beven et al. 10.1002/hyp.14703
44. Evaluation of global forcing datasets for hydropower inflow simulation in Nepal B. Bhattarai et al. 10.2166/nh.2020.079
45. Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation M. Servín-Palestina et al. 10.3390/agronomy14050917
46. Application of Generalized Likelihood Uncertainty Estimation (GLUE) at different temporal scales to reduce the uncertainty level in modelled river flows R. Ragab et al. 10.1080/02626667.2020.1764961
47. Evaluating Operational Risk in Environmental Modeling: Assessment of Reliability and Sharpness for Ensemble Selection S. Pokorny et al. 10.1061/JHYEFF.HEENG-5833
48. Improvement of City Rainfall Model Subcatchment Structure Based on Urban Hydrology Process J. Li et al. 10.1061/JHYEFF.HEENG-6084
49. Developing an integrated PCE-ANOVA-RF method for uncertainty quantification of hydrological model – The Amu Darya River Basin in Central Asia Z. Xu et al. 10.1016/j.jhydrol.2023.129941