69 citations as recorded by crossref.

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4. On the non-stationarity of hydrological response in anthropogenically unaffected catchments: an Australian perspective H. Ajami et al. 10.5194/hess-21-281-2017
5. Landscape and climate conditions influence the hydrological sensitivity to climate change in eastern Canada O. Aygün et al. 10.1016/j.jhydrol.2022.128595
6. A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists C. Shen 10.1029/2018WR022643
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8. Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al. 10.1029/2018WR023750
9. Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar 10.5194/hess-26-2019-2022
10. Investigating spatial heterogeneity of the controls of surface water balance in the contiguous United States by considering anthropogenic factors Z. Li & S. Quiring 10.1016/j.jhydrol.2021.126621
11. Classification of watersheds in the conterminous United States using shape-based time-series clustering and Random Forests M. Yang & F. Olivera 10.1016/j.jhydrol.2023.129409
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17. Understanding Catchments’ Hydrologic Response Similarity of Upper Blue Nile (Abay) basin through catchment classification Z. Tegegn et al. 10.1007/s40808-021-01298-y
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27. Assessment of Hydrologic Alteration Metrics for Detecting Urbanization Impacts R. McDaniel & F. O’Donnell 10.3390/w11051017
28. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al. 10.1029/2022WR033447
29. Simulation of river flow in the Thames over 120 years: Evidence of change in rainfall-runoff response? S. Crooks & A. Kay 10.1016/j.ejrh.2015.05.014
30. A scale-based framework to understand the promises, pitfalls and paradoxes of irrigation efficiency to meet major water challenges B. Lankford et al. 10.1016/j.gloenvcha.2020.102182
31. Assessing baseflow index vulnerability to variation in dry spell length for a range of catchment and climate properties A. Longobardi & A. Van Loon 10.1002/hyp.13147
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33. A data-driven analysis of frequent patterns and variable importance for streamflow trend attribution X. Zeng et al. 10.1016/j.advwatres.2020.103799
34. A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data W. Knoben et al. 10.1029/2018WR022913
35. Long‐Term Coevolution of an Urban Human‐Water System Under Climate Change: Critical Role of Human Adaptive Actions B. Li & M. Sivapalan 10.1029/2020WR027931
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38. Exploring Controls on Rainfall‐Runoff Events: 1. Time Series‐Based Event Separation and Temporal Dynamics of Event Runoff Response in Germany L. Tarasova et al. 10.1029/2018WR022587
39. Characterising baseflow signature variability in the Yellow River Basin S. Lyu et al. 10.1016/j.jenvman.2023.118565
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41. Regionalization of runoff models derived by genetic programming M. Heřmanovský et al. 10.1016/j.jhydrol.2017.02.018
42. Exploring hydrologically similar catchments in terms of the physical characteristics of upstream regions Y. Jin et al. 10.2166/nh.2017.191
43. Catchment Morphing (CM): A Novel Approach for Runoff Modeling in Ungauged Catchments J. Zhang & D. Han 10.1002/2017WR021403
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45. Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
46. Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al. 10.5194/hess-23-1833-2019
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48. Using spatially explicit indicators to investigate watershed characteristics and stream temperature relationships Z. Grabowski et al. 10.1016/j.scitotenv.2016.02.042
49. Assessing Hydrograph Similarity and Rare Runoff Dynamics by Cross Recurrence Plots D. Wendi et al. 10.1029/2018WR024111
50. Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al. 10.1002/2015WR017635
51. A Process‐Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany L. Tarasova et al. 10.1029/2019WR026951
52. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues 10.1016/j.jhydrol.2021.126674
53. Understanding process controls on groundwater recharge variability across Africa through recharge landscapes C. West et al. 10.1016/j.jhydrol.2022.127967
54. Groundwater Vulnerability in a Megacity Under Climate and Economic Changes: A Coupled Sociohydrological Analysis B. Li et al. 10.1029/2022WR033943
55. Improving Budyko curve‐based estimates of long‐term water partitioning using hydrologic signatures from GRACE K. Fang et al. 10.1002/2016WR018748
56. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
57. Full‐flow‐regime storage‐streamflow correlation patterns provide insights into hydrologic functioning over the continental US K. Fang & C. Shen 10.1002/2016WR020283
58. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
59. Identifying most relevant controls on catchment hydrological similarity using model transferability – A comprehensive study in Iran A. Jahanshahi et al. 10.1016/j.jhydrol.2022.128193
60. Delineation of Environmental Units by Multivariate Techniques in the Duero River Watershed, Michoacán, Mexico G. Cruz-Cárdenas et al. 10.1007/s10666-016-9534-2
61. Five guidelines for selecting hydrological signatures H. McMillan et al. 10.1002/hyp.11300
62. Classifying annual daily hydrographs in Western North America using t‐distributed stochastic neighbour embedding W. Tang & S. Carey 10.1002/hyp.14473
63. A Multi-Dimensional Hydro-Climatic Similarity and Classification Framework Based on Budyko Theory for Continental-Scale Applications in China J. Liu et al. 10.3390/w11020319
64. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach R. Singh et al. 10.1016/j.jhydrol.2014.06.030
65. Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
66. Assessing Streamflow Sensitivity to Precipitation Variability in Karst‐Influenced Catchments With Unclosed Water Balances Y. Liu et al. 10.1029/2020WR028598
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. Machine learning for hydrologic sciences: An introductory overview T. Xu & F. Liang 10.1002/wat2.1533
69. Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. 10.5194/hess-18-463-2014