69 citations as recorded by crossref.

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16. Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations H. Zheng et al. 10.1029/2020MS002132
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20. Curating 62 Years of Walnut Gulch Experimental Watershed Data: Improving the Quality of Long-Term Rainfall and Runoff Datasets M. Meles et al. 10.3390/w14142198
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23. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
24. Uncertainties in predicting impacts of climate change on hydrology in basin scale: a review D. Jose & G. Dwarakish 10.1007/s12517-020-06071-6
25. Global patterns and key drivers of stream nitrogen concentration: A machine learning approach R. Sheikholeslami & J. Hall 10.1016/j.scitotenv.2023.161623
26. Global Maps of Streamflow Characteristics Based on Observations from Several Thousand Catchments* H. Beck et al. 10.1175/JHM-D-14-0155.1
27. Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. 10.5194/hess-21-2881-2017
28. Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. 10.1029/2023WR034875
29. Quo vadis, hydrology? Z. Kundzewicz 10.1080/02626667.2018.1489597
30. Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS H. Beck et al. 10.5194/hess-23-207-2019
31. Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al. 10.5194/hess-19-209-2015
32. A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Z. Yin et al. 10.5194/essd-16-1559-2024
33. Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
34. On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes K. Beven et al. 10.1002/hyp.14703
35. Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
36. Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
37. How the performance of hydrological models relates to credibility of projections under climate change V. Krysanova et al. 10.1080/02626667.2018.1446214
38. On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose K. Beven & S. Lane 10.1002/hyp.14704
39. Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition P. Paul et al. 10.1111/nrm.12283
40. Assessing global water mass transfers from continents to oceans over the period 1948–2016 D. Cáceres et al. 10.5194/hess-24-4831-2020
41. Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
42. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
43. Development of Machine Learning Flood Model Using Artificial Neural Network (ANN) at Var River M. Ahmad et al. 10.3390/liquids2030010
44. Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al. 10.5194/hess-18-2993-2014
45. Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
46. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al. 10.1029/2019WR025700
47. Improving Weather Predictability by Including Land Surface Model Parameter Uncertainty R. Orth et al. 10.1175/MWR-D-15-0283.1
48. Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph J. McDonnell & K. Beven 10.1002/2013WR015141
49. Evaluation of large-scale precipitation data sets for water resources modelling in Central Asia M. Malsy et al. 10.1007/s12665-014-3107-y
50. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
51. Development of a 60-year high-resolution water body evaporation dataset in China P. Bai & X. Guo 10.1016/j.agrformet.2023.109428
52. Uncertainty in hydrological signatures I. Westerberg & H. McMillan 10.5194/hess-19-3951-2015
53. A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method W. Liu et al. 10.1016/j.jhydrol.2016.04.006
54. Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent I. Pechlivanidis et al. 10.3390/w8050177
55. A worldwide analysis of trends in water-balance evapotranspiration A. Ukkola & I. Prentice 10.5194/hess-17-4177-2013
56. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. 10.2166/nh.2022.118
57. Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain R. Lane et al. 10.5194/hess-23-4011-2019
58. Hydrological data uncertainty and its implications H. McMillan et al. 10.1002/wat2.1319
59. Global hydrological models: a review A. Sood & V. Smakhtin 10.1080/02626667.2014.950580
60. Challenges of classifying and mapping perennial freshwater systems within highly variable climate zones: A case study in the Murray Darling Basin, Australia D. Verdon-Kidd et al. 10.1016/j.scitotenv.2023.167260
61. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. 10.1029/2019JD031485
62. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al. 10.1175/BAMS-D-17-0138.1
63. On the value of water quality data and informative flow states in karst modelling A. Hartmann et al. 10.5194/hess-21-5971-2017
64. Satellite-Based Evapotranspiration in Hydrological Model Calibration L. Jiang et al. 10.3390/rs12030428
65. Effect of Observation Errors on the Timing of the Most Informative Isotope Samples for Event-Based Model Calibration L. Wang et al. 10.3390/hydrology5010004
66. Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel 10.1002/hyp.10533
67. A regional parameter estimation scheme for a pan-European multi-basin model Y. Hundecha et al. 10.1016/j.ejrh.2016.04.002
68. On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation T. Wagener et al. 10.1002/wat2.1550
69. A worldwide analysis of trends in water-balance evapotranspiration A. Ukkola & I. Prentice 10.5194/hessd-10-5739-2013