76 citations as recorded by crossref.

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15. Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. 10.1029/2021WR030437
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19. Implementation of a watershed modelling framework to support adaptive management in the Canadian side of the Lake Erie basin A. Neumann et al. 10.1016/j.ecoinf.2021.101444
20. Use of Abstraction and Discharge Data to Improve the Performance of a National‐Scale Hydrological Model P. Rameshwaran et al. 10.1029/2021WR029787
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22. Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System S. Harrigan et al. 10.5194/hess-27-1-2023
23. A review of model selection for hydrological studies M. Nesru 10.1007/s12517-023-11194-7
24. Hydrological Web Services for Operational Flood Risk Monitoring and Forecasting at Local Scale in Niger T. De Filippis et al. 10.3390/ijgi11040236
25. Simulating river regulation and reservoir performance in a continental-scale hydrologic model A. Tefs et al. 10.1016/j.envsoft.2021.105025
26. Comparison of open access global climate services for hydrological data J. Merks et al. 10.1080/02626667.2020.1820012
27. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. 10.5194/hess-26-975-2022
28. The Added Value of Different Data Types for Calibrating and Testing a Hydrologic Model in a Small Catchment B. Széles et al. 10.1029/2019WR026153
29. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. 10.2166/nh.2022.118
30. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al. 10.1029/2022WR033447
31. Implementing a parsimonious variable contributing area algorithm for the prairie pothole region in the HYPE modelling framework M. Ahmed et al. 10.1016/j.envsoft.2023.105769
32. Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
33. Changing freshwater contributions to the Arctic T. Stadnyk et al. 10.1525/elementa.2020.00098
34. Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al. 10.1016/j.jhydrol.2024.131016
35. Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
36. Global prediction of extreme floods in ungauged watersheds G. Nearing et al. 10.1038/s41586-024-07145-1
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38. Modeling drift and fate of microplastics in the Baltic Sea J. Murawski et al. 10.3389/fmars.2022.886295
39. Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models L. Devitt et al. 10.1088/1748-9326/abfac4
40. Impact of surface and underground water uses on streamflow in the upper-middle of the Weihe River basin using a modified WetSpa model M. Wu et al. 10.1016/j.jhydrol.2022.128840
41. Designing a Climate Service for Planning Climate Actions in Vulnerable Countries C. Photiadou et al. 10.3390/atmos12010121
42. A co-generation success story: Improving drinking water management through hydro-climate services C. Cantone et al. 10.1016/j.cliser.2023.100399
43. Streamflow prediction in “geopolitically ungauged” basins using satellite observations and regionalization at subcontinental scale T. Du et al. 10.1016/j.jhydrol.2020.125016
44. HydroGFD3.0 (Hydrological Global Forcing Data): a 25 km global precipitation and temperature data set updated in near-real time P. Berg et al. 10.5194/essd-13-1531-2021
45. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
46. Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling G. Cheng et al. 10.1029/2021WR031370
47. Using ensemble reforecasts to generate flood thresholds for improved global flood forecasting E. Zsoter et al. 10.1111/jfr3.12658
48. Application of the RSPARROW Modeling Tool to Estimate Total Nitrogen Sources to Streams and Evaluate Source Reduction Management Scenarios in the Grande River Basin, Brazil M. Miller et al. 10.3390/w12102911
49. Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
50. Reproducible and relocatable regional ocean modelling: fundamentals and practices J. Polton et al. 10.5194/gmd-16-1481-2023
51. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. 10.5194/gmd-14-3843-2021
52. Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. 10.3390/w12072037
53. Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models C. Skoulikaris & M. Piliouras 10.1002/hyp.15044
54. Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project M. Ahmed et al. 10.1016/j.jhydrol.2023.129820
55. Global hydrological parameter estimates to local applications: Influence of forcing and catchment properties J. Schalla et al. 10.2166/nh.2023.086
56. Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data A. de Lavenne et al. 10.1002/hyp.14767
57. Implementing Hydrological Forecasting Services Supporting Waterway Management and Transportation Logistics Relating to Hydroclimatic Impacts D. Meißner et al. 10.3390/atmos13101606
58. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
59. Unravelling runoff processes in Andean basins in northern Ecuador through hydrological signatures J. Gordillo & L. Pineda 10.1002/hyp.14354
60. Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al. 10.1111/jfr3.12895
61. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River G. Massazza et al. 10.3390/w12123504
62. Assessing hydrological sensitivity to future climate change over the Canadian southern boreal forest Z. He & J. Pomeroy 10.1016/j.jhydrol.2023.129897
63. Performance of State‐of‐the‐Art C3S European Seasonal Climate Forecast Models for Mean and Extreme Precipitation Over Africa S. Gebrechorkos et al. 10.1029/2021WR031480
64. When good signatures go bad: Applying hydrologic signatures in large sample studies H. McMillan et al. 10.1002/hyp.14987
65. Hybrid forecasting: blending climate predictions with AI models L. Slater et al. 10.5194/hess-27-1865-2023
66. Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies B. Uniyal & J. Dietrich 10.1029/2020WR029263
67. Random forest-based modeling of stream nutrients at national level in a data-scarce region H. Virro et al. 10.1016/j.scitotenv.2022.156613
68. Reservoir operation impacts on streamflow and sediment dynamics in the transboundary river basin, Vietnam T. Bui et al. 10.1002/hyp.14994
69. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
70. A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model A. de Lavenne et al. 10.1029/2018WR024266
71. Flash droughts present a new challenge for subseasonal-to-seasonal prediction A. Pendergrass et al. 10.1038/s41558-020-0709-0
72. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. 10.1029/2019JD031485
73. Lessons learnt from checking the quality of openly accessible river flow data worldwide L. Crochemore et al. 10.1080/02626667.2019.1659509
74. Evaluation of precipitation datasets against local observations in southwestern Iran A. Fallah et al. 10.1002/joc.6445
75. Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method R. Alexander et al. 10.1029/2019WR025001
76. What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987