80 citations as recorded by crossref.

1. Unsupervised hydrologic classification of rivers: Watershed controls on natural and anthropogenic flow regimes, Alabama, USA S. Praskievicz & C. Luo
2. River Classification as a Geographic Tool in the Age of Big Data and Global Change S. Praskievicz
3. River runoff evaluation for ungauged watersheds by SWAP model. 2. Application of methods of physiographic similarity and spatial geostatistics G. Ayzel et al.
4. A generalised ecohydrological landscape classification for assessing ecosystem risk in Australia due to an altering water regime A. Herr et al.
5. Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison K. Sink & T. Brikowski
6. On the non-stationarity of hydrological response in anthropogenically unaffected catchments: an Australian perspective H. Ajami et al.
7. Landscape and climate conditions influence the hydrological sensitivity to climate change in eastern Canada O. Aygün et al.
8. A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists C. Shen
9. Towards catchment classification in data‐scarce regions D. Auerbach et al.
10. Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al.
11. Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar
12. Investigating spatial heterogeneity of the controls of surface water balance in the contiguous United States by considering anthropogenic factors Z. Li & S. Quiring
13. Classification of watersheds in the conterminous United States using shape-based time-series clustering and Random Forests M. Yang & F. Olivera
14. Repeating patterns in runoff time series: A basis for exploring hydrologic similarity of precipitation and catchment wetness conditions A. Hövel et al.
15. Spatial and Temporal Changes in Hydrological Regionalization of Lowland Rivers V. Akstinas et al.
16. Dominant flood types in Europe and their role in flood statistics S. Fischer & A. Schumann
17. TOSSH: A Toolbox for Streamflow Signatures in Hydrology S. Gnann et al.
18. The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology K. Fang et al.
19. Correlation and causation in tree‐ring‐based reconstruction of paleohydrology in cold semiarid regions A. Elshorbagy et al.
20. Understanding Catchments’ Hydrologic Response Similarity of Upper Blue Nile (Abay) basin through catchment classification Z. Tegegn et al.
21. From river flow regime diversity to proxies for hydrologic homogeneity a Canada-wide case study S. Ariano & G. Ali
22. Event-based prediction of stream turbidity using a combined cluster analysis and classification tree approach A. Mather & R. Johnson
23. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al.
24. CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al.
25. Homogeneous region determination using linear and nonlinear techniques J. Swain et al.
26. Catchment coevolution: A useful framework for improving predictions of hydrological change? P. Troch et al.
27. Intra-catchment comparison and classification of long-term streamflow variability in the Alps using wavelet analysis T. Pérez Ciria & G. Chiogna
28. Hydrological characteristics of Australia: national catchment classification and regional relationships J. Jaffrés et al.
29. Assessing hydrologic similarity in the semi-arid region: a case study in Piranhas-Açu basin P. Bernardo Costa et al.
30. Run‐off processes from mountains to foothills: The role of soil stratigraphy and structure in influencing run‐off characteristics across high to low relief landscapes M. Zimmer & J. Gannon
31. Integrating scientific knowledge into machine learning using interactive decision trees G. Sarailidis et al.
32. Assessment of Hydrologic Alteration Metrics for Detecting Urbanization Impacts R. McDaniel & F. O’Donnell
33. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al.
34. Simulation of river flow in the Thames over 120 years: Evidence of change in rainfall-runoff response? S. Crooks & A. Kay
35. Streamflow prediction in ungauged catchments through use of catchment classification and deep learning M. He et al.
36. A scale-based framework to understand the promises, pitfalls and paradoxes of irrigation efficiency to meet major water challenges B. Lankford et al.
37. Assessing baseflow index vulnerability to variation in dry spell length for a range of catchment and climate properties A. Longobardi & A. Van Loon
38. Linking the Budyko framework and the Dunne diagram R. Trancoso et al.
39. A data-driven analysis of frequent patterns and variable importance for streamflow trend attribution X. Zeng et al.
40. A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data W. Knoben et al.
41. DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States P. Ghaneei & H. Moradkhani
42. Long‐Term Coevolution of an Urban Human‐Water System Under Climate Change: Critical Role of Human Adaptive Actions B. Li & M. Sivapalan
43. Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity G. Papacharalampous et al.
44. РАСЧЕТЫ РЕЧНОГО СТОКА НА ОСНОВЕ МОДЕЛИ SWAP ДЛЯ ВОДОСБОРОВ С НЕДОСТАТОЧНЫМ ИНФОРМАЦИОННЫМ ОБЕСПЕЧЕНИЕМ. 2. ИСПОЛЬЗОВАНИЕ МЕТОДОВ ФИЗИКО-ГЕОГРАФИЧЕСКОГО ПОДОБИЯ И ПРОСТРАНСТВЕННОЙ ГЕОСТАТИСТИКИ, "Водные ресурсы" Г. Айзель et al.
45. 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.
46. Characterising baseflow signature variability in the Yellow River Basin S. Lyu et al.
47. Tracking rainfall contribution in a conceptual runoff model T. Nguyen et al.
48. The persistence of snow on the ground affects the shape of streamflow hydrographs over space and time: a continental-scale analysis E. Le et al.
49. Catchment clustering in Taiwan through comparative assessment of baseflow separation methods H. Chen & H. Yeh
50. A Gaussian sliding windows regression model for hydrological inference S. Schrunner et al.
51. Regionalization of runoff models derived by genetic programming M. Heřmanovský et al.
52. Exploring hydrologically similar catchments in terms of the physical characteristics of upstream regions Y. Jin et al.
53. Catchment Morphing (CM): A Novel Approach for Runoff Modeling in Ungauged Catchments J. Zhang & D. Han
54. The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality control, time-series indices and homogeneity assessment L. Gudmundsson et al.
55. Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al.
56. Future evolution and uncertainty of river flow regime change in a deglaciating river basin J. Mackay et al.
57. Hysteresis in streamflow‐water table relation provides a new classification system of rainfall‐runoff events Y. Gelmini et al.
58. Using spatially explicit indicators to investigate watershed characteristics and stream temperature relationships Z. Grabowski et al.
59. Assessing Hydrograph Similarity and Rare Runoff Dynamics by Cross Recurrence Plots D. Wendi et al.
60. Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al.
61. A Process‐Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany L. Tarasova et al.
62. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues
63. Understanding process controls on groundwater recharge variability across Africa through recharge landscapes C. West et al.
64. Groundwater Vulnerability in a Megacity Under Climate and Economic Changes: A Coupled Sociohydrological Analysis B. Li et al.
65. Improving Budyko curve‐based estimates of long‐term water partitioning using hydrologic signatures from GRACE K. Fang et al.
66. A review of hydrologic signatures and their applications H. McMillan
67. Full‐flow‐regime storage‐streamflow correlation patterns provide insights into hydrologic functioning over the continental US K. Fang & C. Shen
68. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al.
69. Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs Y. Hu et al.
70. Identifying most relevant controls on catchment hydrological similarity using model transferability – A comprehensive study in Iran A. Jahanshahi et al.
71. Delineation of Environmental Units by Multivariate Techniques in the Duero River Watershed, Michoacán, Mexico G. Cruz-Cárdenas et al.
72. Five guidelines for selecting hydrological signatures H. McMillan et al.
73. Classifying annual daily hydrographs in Western North America using t‐distributed stochastic neighbour embedding W. Tang & S. Carey
74. A Multi-Dimensional Hydro-Climatic Similarity and Classification Framework Based on Budyko Theory for Continental-Scale Applications in China J. Liu et al.
75. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach R. Singh et al.
76. Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al.
77. Assessing Streamflow Sensitivity to Precipitation Variability in Karst‐Influenced Catchments With Unclosed Water Balances Y. Liu et al.
78. A large-sample investigation into uncertain climate change impacts on high flows across Great Britain R. Lane et al.
79. Current Progress in and Future Visions of Key Technologies of UAV-Borne Multi-Modal Geophysical Exploration for Mineral Exploration: A Scoping Review X. Wu et al.
80. Machine learning for hydrologic sciences: An introductory overview T. Xu & F. Liang