70 citations as recorded by crossref.

1. Streamflow prediction in ungauged catchments through use of catchment classification and deep learning M. He et al. https://doi.org/10.1016/j.jhydrol.2024.131638
2. Deep learning for the probabilistic prediction of semi-continuous hydrological variables – An application to streamflow prediction across CONUS J. Quilty & M. Jahangir https://doi.org/10.1016/j.jhydrol.2026.134986
3. Quantifying the relative contributions of different flood generating mechanisms to floods across CONUS M. Shen & T. Chui https://doi.org/10.1016/j.jhydrol.2023.130255
4. Characterizing the role of climate and urbanization on multi-decade stream hydrology: implications for watershed management S. Ariano & J. Murfitt https://doi.org/10.1007/s00267-026-02522-0
5. Investigating the spatial–temporal changes of flood events across the Yangtze River Basin, China: Identification, spatial heterogeneity, and dominant impact factors J. Yu et al. https://doi.org/10.1016/j.jhydrol.2023.129503
6. Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America J. Janssen et al. https://doi.org/10.3389/feart.2021.730631
7. Characterizing the responses of local floods to changing climate in three different hydroclimatic regions across the United States M. Shen & T. Chui https://doi.org/10.1016/j.advwatres.2021.103885
8. The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Z. Li et al. https://doi.org/10.1038/s43247-022-00409-6
9. Improved National‐Scale Above‐Normal Flow Prediction for Gauged and Ungauged Basins Using a Spatio‐Temporal Hierarchical Model S. Fang et al. https://doi.org/10.1029/2023WR034557
10. Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows B. Blagojević et al. https://doi.org/10.3390/w15162919
11. A comprehensive study of floods in Poland in the 17th–18th centuries B. Ghazi et al. https://doi.org/10.1016/j.ejrh.2024.101796
12. Using landscape genomics to assess local adaptation and genomic vulnerability of a perennial herb Tetrastigma hemsleyanum (Vitaceae) in subtropical China Y. Wang et al. https://doi.org/10.3389/fgene.2023.1150704
13. Reconciling historical changes in the hydrological cycle over land S. Hobeichi et al. https://doi.org/10.1038/s41612-022-00240-y
14. Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling G. Cheng et al. https://doi.org/10.1029/2021WR031370
15. Trend analysis of Alpine spring discharge: Interplay between climate and discharge characteristics M. Vremec et al. https://doi.org/10.1016/j.scitotenv.2025.179875
16. Comparative performance of regionalization methods for model parameterization in ungauged Himalayan watersheds N. Karki et al. https://doi.org/10.1016/j.ejrh.2023.101359
17. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. https://doi.org/10.5194/hess-25-3429-2021
18. Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data‐Driven Sparse Sensing K. Zhang et al. https://doi.org/10.1029/2022WR034092
19. Detection of decadal time‐series changes in flow hydrology in eastern Australia: Considerations for river recovery and flood management A. Arash et al. https://doi.org/10.1002/esp.5694
20. Streamflow prediction with machine learning: evaluating predictability across hydroclimatic regimes S. Dwivedi et al. https://doi.org/10.1080/02626667.2026.2699259
21. Rainfall–runoff relationships at event scale in western Mediterranean ephemeral streams R. Serrano-Notivoli et al. https://doi.org/10.5194/hess-26-1243-2022
22. Contrasting scaling relationships of extreme precipitation and streamflow to temperature across the United States M. Shen & T. Chui https://doi.org/10.1088/2515-7620/ac40ef
23. On the use of distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking J. Vrugt et al. https://doi.org/10.1016/j.jhydrol.2022.128542
24. The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records D. de Oliveira & J. Vrugt https://doi.org/10.1029/2022WR032263
25. Climate and landscape jointly control European streamflow behaviour J. Rudlang et al. https://doi.org/10.5194/hess-30-4481-2026
26. Variable Streamflow Response to Forest Disturbance in the Western US: A Large‐Sample Hydrology Approach S. Goeking & D. Tarboton https://doi.org/10.1029/2021WR031575
27. How extreme are flood peak distributions? A quasi-global analysis of daily discharge records M. Zaerpour et al. https://doi.org/10.1016/j.jhydrol.2024.130849
28. Confidence intervals of the Kling-Gupta efficiency J. Vrugt & D. de Oliveira https://doi.org/10.1016/j.jhydrol.2022.127968
29. Where and When to Collect Tracer Data to Diagnose Hillslope Permeability Architecture A. Ameli et al. https://doi.org/10.1029/2020WR028719
30. Projected changes in Rhine River flood seasonality under global warming E. Rottler et al. https://doi.org/10.5194/hess-25-2353-2021
31. Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. https://doi.org/10.5194/hess-25-105-2021
32. Spatial variability in Alpine reservoir regulation: deriving reservoir operations from streamflow using generalized additive models M. Brunner & P. Naveau https://doi.org/10.5194/hess-27-673-2023
33. From river flow regime diversity to proxies for hydrologic homogeneity a Canada-wide case study S. Ariano & G. Ali https://doi.org/10.1038/s41598-025-00244-7
34. Probabilistic Sensitivity Analysis With Dependent Variables: Covariance‐Based Decomposition of Hydrologic Models Y. Gao et al. https://doi.org/10.1029/2022WR032834
35. Moving Land Models Toward More Actionable Science: A Novel Application of the Community Terrestrial Systems Model Across Alaska and the Yukon River Basin Y. Cheng et al. https://doi.org/10.1029/2022WR032204
36. Seasonal variability in the global relevance of mountains to satisfy lowland water demand S. Hanus et al. https://doi.org/10.1088/1748-9326/ad8507
37. Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach M. Brunner & E. Gilleland https://doi.org/10.5194/hess-24-3967-2020
38. Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters M. Ponds et al. https://doi.org/10.5194/hess-29-3545-2025
39. Hydrological modeling to simulate stream flow under changing climate conditions in Jhelum catchment, western Himalaya A. Singh Jasrotia et al. https://doi.org/10.1016/j.jhydrol.2020.125887
40. A global algorithm for identifying changing streamflow regimes: application to Canadian natural streams (1966–2010) M. Zaerpour et al. https://doi.org/10.5194/hess-25-5193-2021
41. Classification of watersheds in the conterminous United States using shape-based time-series clustering and Random Forests M. Yang & F. Olivera https://doi.org/10.1016/j.jhydrol.2023.129409
42. Uneven shifts in flood and drought flows in a Brazilian water supply catchment T. Mattos et al. https://doi.org/10.1016/j.ejrh.2025.102498
43. Analysis of flow regime classification in the Omo-Gibe River Basin: insights into fluid dynamics in Ethiopia D. Bayana et al. https://doi.org/10.2166/wst.2024.322
44. Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation T. Lahmers et al. https://doi.org/10.1038/s41598-023-30484-4
45. Ecosystem size and complexity as extrinsic drivers of food chain length in branching ecosystems J. Pomeranz et al. https://doi.org/10.1002/ecs2.4648
46. Functional PCA and cluster analysis for determining temperature patterns in Chile M. Tapia-Díaz et al. https://doi.org/10.1007/s00704-025-05421-2
47. How Probable Is Widespread Flooding in the United States? M. Brunner et al. https://doi.org/10.1029/2020WR028096
48. Modulation of Riverine Concentration‐Discharge Relationships by Changes in the Shape of the Water Transit Time Distribution M. Torres & J. Baronas https://doi.org/10.1029/2020GB006694
49. Climate change effects on groundwater recharge and temperatures in Swiss alluvial aquifers J. Epting et al. https://doi.org/10.1016/j.hydroa.2020.100071
50. The future intensification of hydrological extremes and whiplashes in the contiguous United States increase community vulnerability S. Maharjan et al. https://doi.org/10.1038/s43247-025-02672-9
51. Rhine flood stories: Spatio‐temporal analysis of historic and projected flood genesis in the Rhine River basin E. Rottler et al. https://doi.org/10.1002/hyp.14918
52. South by Southwest: Shifting Streamflow Drought in Catchments with an Intermittent Streamflow Regime in the Conterminous United States W. Choi & J. Choi https://doi.org/10.1080/24694452.2026.2681727
53. Geospatial patterns in runoff projections using random forest based forecasting of time-series data for the mid-Atlantic region of the United States B. Gaertner https://doi.org/10.1016/j.scitotenv.2023.169211
54. How does temperature causally influence short-term streamflow response? Evidence from 1604 catchments across the UK, Central Europe, and Australia H. Abbasizadeh et al. https://doi.org/10.1016/j.jhydrol.2026.135945
55. Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. https://doi.org/10.1029/2021WR030437
56. Development of Multi-Inflow Prediction Ensemble Model Based on Auto-Sklearn Using Combined Approach: Case Study of Soyang River Dam S. Lee et al. https://doi.org/10.3390/hydrology10040090
57. Residual dynamics in hydrological models: insights from a large sample of catchments and models L. Lombardo et al. https://doi.org/10.1016/j.advwatres.2025.105165
58. Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs Y. Hu et al. https://doi.org/10.1016/j.jhydrol.2025.132766
59. Screening CMIP6 models for Chile based on past performance and code genealogy F. Gateño et al. https://doi.org/10.1007/s10584-024-03742-1
60. Associations between deep learning runoff predictions and hydrogeological conditions in Australia S. Clark & J. Jaffrés https://doi.org/10.1016/j.jhydrol.2024.132569
61. Increasing importance of temperature as a contributor to the spatial extent of streamflow drought M. Brunner et al. https://doi.org/10.1088/1748-9326/abd2f0
62. Understanding the organizing scales of winter flood hydroclimatology and the associated drivers over the coterminous United States J. Hwang et al. https://doi.org/10.1016/j.hydroa.2025.100200
63. Climate change impacts on hydrological regimes under spatially variable human-activity conditions J. Liu et al. https://doi.org/10.3389/feart.2025.1656661
64. Continental-scale prediction of hydrologic signatures and processes R. Araki et al. https://doi.org/10.5194/hess-30-3647-2026
65. Soil drainage modulates climate effects to shape seasonal and mean annual water balances across the southeastern United States Z. Wang et al. https://doi.org/10.1002/hyp.15214
66. Beyond the Flow: Multifractal Clustering of River Discharge Across Canada Using Near-Century Data A. Olusola et al. https://doi.org/10.3390/hydrology13010005
67. Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world E. Rottler et al. https://doi.org/10.1002/rra.3772
68. A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions J. Janssen & A. Ameli https://doi.org/10.1029/2021WR030263
69. Using a Hydro-Morphic Classification of Catchments to Characterise and Explain High Flow and Overbank Flood Behaviour A. Arash et al. https://doi.org/10.3390/geosciences15040141
70. Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse https://doi.org/10.5194/hess-25-1307-2021