73 citations as recorded by crossref.

1. Adjusting for Conditional Bias in Process Model Simulations of Hydrological Extremes: An Experiment Using the North Wyke Farm Platform S. Curceac et al. 10.3389/frai.2020.565859
2. Data-driven model as a post-process for daily streamflow prediction in ungauged basins J. Choi & S. Kim 10.1016/j.heliyon.2025.e42512
3. Climatic Control on Spatial Distribution of Water Storage at the Catchment Scale: A Framework for Unifying Saturation Excess Runoff Models L. Yao & D. Wang 10.1029/2021JD036334
4. Improving streamflow prediction in the WRF-Hydro model with LSTM networks K. Cho & Y. Kim 10.1016/j.jhydrol.2021.127297
5. Reproducing different types of changes in hydrological indicators with rainfall-runoff models C. Massmann 10.2166/nh.2020.073
6. Optimising ensemble streamflow predictions with bias correction and data assimilation techniques M. Tanguy et al. 10.5194/hess-29-1587-2025
7. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al. 10.1080/02626667.2023.2251968
8. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
9. CCAM: China Catchment Attributes and Meteorology dataset Z. Hao et al. 10.5194/essd-13-5591-2021
10. Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz 10.1007/s10584-020-02858-4
11. Benchmarking data-driven rainfall-runoff modeling across 54 catchments in the Yellow River Basin: Overfitting, calibration length, dry frequency J. Jin et al. 10.1016/j.ejrh.2022.101119
12. Simultaneous Calibration of Hydrologic Model Structure and Parameters Using a Blended Model R. Chlumsky et al. 10.1029/2020WR029229
13. Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al. 10.1016/j.jhydrol.2024.130829
14. Tracking the methodological evolution of climate change projections for UK river flows W. Chan et al. 10.1177/03091333221079201
15. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. 10.1080/02626667.2021.1923720
16. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
17. Assessment of hydrological model performance in Morocco in relation to model structure and catchment characteristics O. Jaffar et al. 10.1016/j.ejrh.2024.101899
18. Evaluating Hydrologic Model Performance for Characterizing Streamflow Drought in the Conterminous United States C. Simeone et al. 10.3390/w16202996
19. Knowledge gaps in our perceptual model of Great Britain's hydrology T. Wagener et al. 10.1002/hyp.14288
20. How intensive revegetation affects runoff in semiarid watersheds: A case study based on an integrated modelling framework Y. Chang & H. Lei 10.1002/eco.2451
21. Water demand and supply under future water development and climate change scenarios in the upper Blue Nile basin G. Sitotaw Takele et al. 10.2166/ws.2024.249
22. Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model R. Lane et al. 10.1029/2020WR028393
23. Evaluating the Effect of the Location and Design of Retention Ponds on Flooding in a Peri-Urban River Catchment S. Birkinshaw & V. Krivtsov 10.3390/land11081368
24. Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States E. Towler et al. 10.5194/hess-27-1809-2023
25. Interpretable and explainable hybrid model for daily streamflow prediction based on multi-factor drivers W. Wan et al. 10.1007/s11356-024-33594-2
26. On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
27. Use of the WinTR-55 Hydrologic Model on Determination of Flood Peak Discharge: The Case of Kirklareli Vize Stream and Samsun Minoz Stream Watersheds Ç. ALKAN 10.21324/dacd.1040189
28. A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records S. Erfani et al. 10.1016/j.envsoft.2024.106136
29. Flood level prediction model based on Kolmogorov-Arnold Networks: an improved deep learning approach J. Zhao & M. Marsani 10.1007/s00704-025-05470-7
30. Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models T. Lees et al. 10.5194/hess-25-5517-2021
31. Evaluating soil moisture simulations from a national-scale gridded hydrological model over Great Britain R. Lane et al. 10.1016/j.ejrh.2024.101735
32. Evaluation of GPM IMERG satellite precipitation for rainfall–runoff modelling in Great Britain J. Gautam et al. 10.1080/02626667.2024.2394172
33. Benchmarking hydrological models for an uncertain future K. Beven 10.1002/hyp.14882
34. Hydrological signatures describing the translation of climate seasonality into streamflow seasonality S. Gnann et al. 10.5194/hess-24-561-2020
35. Evaluating the effects of alternative model structures on dynamic storage simulation in heterogeneous boreal catchments S. Karimi et al. 10.2166/nh.2022.121
36. Perceptual perplexity and parameter parsimony K. Beven & N. Chappell 10.1002/wat2.1530
37. Performance dependence of multi-model combination methods on hydrological model calibration strategy and ensemble size Y. Wan et al. 10.1016/j.jhydrol.2021.127065
38. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain G. Coxon et al. 10.5194/essd-12-2459-2020
39. Uncertainty estimation with deep learning for rainfall–runoff modeling D. Klotz et al. 10.5194/hess-26-1673-2022
40. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. 10.1016/j.ejrh.2023.101381
41. Benchmarking Three Event-Based Rainfall-Runoff Routing Models on Australian Catchments D. Kemp & G. Alankarage 10.3390/hydrology10060131
42. An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments C. Prieto et al. 10.1029/2021WR030705
43. Streamflow forecasting in a climate change perspective using E-FUSE R. Vogeti et al. 10.2166/wcc.2022.251
44. Evidence-based requirements for perceptualising intercatchment groundwater flow in hydrological models L. Oldham et al. 10.5194/hess-27-761-2023
45. A multiple hydrograph separation technique for identifying hydrological model structures and an interpretation of dominant process controls on flow duration curves C. Leong & Y. Yokoo 10.1002/hyp.14569
46. Geological controls of discharge variability in the Thames Basin, UK from cross-spectral analyses: Observations versus modelling G. Weedon et al. 10.1016/j.jhydrol.2023.130104
47. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
48. Towards integrated flood inundation modelling in groundwater-dominated catchments S. Collins et al. 10.1016/j.jhydrol.2020.125755
49. Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting L. Liu et al. 10.1016/j.jhydrol.2024.131993
50. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
51. Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling J. Wang et al. 10.1029/2022WR033323
52. Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
53. PISCO_HyM_GR2M: A Model of Monthly Water Balance in Peru (1981–2020) H. Llauca et al. 10.3390/w13081048
54. Does the performance enhancement through multi-model averaging at the catchment outlet gets translated to the interior ungauged points? S. Dusa et al. 10.1016/j.jhydrol.2023.130389
55. Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
56. Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds T. Mathevet et al. 10.5802/crgeos.189
57. A quality-control framework for sub-daily flow and level data for hydrological modelling in Great Britain F. Fileni et al. 10.2166/nh.2023.045
58. Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference G. Cheng et al. 10.1016/j.jhydrol.2022.128803
59. Physically-based modelling of UK river flows under climate change B. Smith et al. 10.3389/frwa.2024.1468855
60. Integrating machine learning with process-based glacio-hydrological model for improving the performance of runoff simulation in cold regions B. Mohammadi et al. 10.1016/j.jhydrol.2025.132963
61. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
62. A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
63. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al. 10.1016/j.jhydrol.2020.124698
64. Predicting annual peak daily streamflow in natural basins using quantile regression forests K. Kim et al. 10.1016/j.jhydrol.2025.133233
65. A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven 10.1080/02626667.2024.2332616
66. Long-term streamflow forecasting in data-scarce regions: Insightful investigation for leveraging satellite-derived data, Informer architecture, and concurrent fine-tuning transfer learning F. Ghobadi et al. 10.1016/j.jhydrol.2024.130772
67. A large-sample investigation into uncertain climate change impacts on high flows across Great Britain R. Lane et al. 10.5194/hess-26-5535-2022
68. Exploring the role of hydrological pathways in modulating multi-annual climate teleconnection periodicities from UK rainfall to streamflow W. Rust et al. 10.5194/hess-25-2223-2021
69. Can hydrological models assess the impact of natural flood management in groundwater‐dominated catchments? H. Badjana et al. 10.1111/jfr3.12912
70. Developing water supply reservoir operating rules for large-scale hydrological modelling S. Salwey et al. 10.5194/hess-28-4203-2024
71. Large-sample hydrology – a few camels or a whole caravan? F. Clerc-Schwarzenbach et al. 10.5194/hess-28-4219-2024
72. HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al. 10.3389/feart.2022.884766
73. Hydrologic models coupled with 2D hydrodynamic model for high-resolution urban flood simulation M. de Arruda Gomes et al. 10.1007/s11069-021-04817-3