108 citations as recorded by crossref.

1. Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts S. Moulds et al. https://doi.org/10.5194/hess-29-2393-2025
2. Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data Y. Chen et al. https://doi.org/10.1371/journal.pone.0280522
3. Large-Scale Hydrological and Sediment Modeling in Nested Domains under Current and Changing Climate A. Bartosova et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002078
4. SWAT-IRR: A new irrigation algorithm for soil and water Assessment tool to facilitate water management and Conservation in irrigated regions Z. Xiang et al. https://doi.org/10.1016/j.compag.2025.110142
5. Data Integration for Investigating Drivers of Water Quality Variability in the Banja Reservoir Watershed E. Matta et al. https://doi.org/10.3390/w15030607
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7. Towards parameter estimation in global hydrological models J. Kupzig et al. https://doi.org/10.1088/1748-9326/acdae8
8. Effect of different likelihood measures on parameter conditioning and model uncertainty F. Baig et al. https://doi.org/10.1007/s00477-025-02909-1
9. Analysis and comparison of the flood simulations with the routing model CaMa-Flood at different spatial resolutions in the CONUS R. Jiang et al. https://doi.org/10.1016/j.envsoft.2024.106305
10. The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa J. Lienert et al. https://doi.org/10.5194/hess-26-2899-2022
11. Seasonal forecast of soil moisture over Mediterranean-climate forest catchments using a machine learning approach R. Chandra Joshi et al. https://doi.org/10.1016/j.jhydrol.2023.129307
12. Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System S. Harrigan et al. https://doi.org/10.5194/hess-27-1-2023
13. A review of model selection for hydrological studies M. Nesru https://doi.org/10.1007/s12517-023-11194-7
14. Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. https://doi.org/10.5194/gmd-17-6819-2024
15. TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901–2019) S. Li et al. https://doi.org/10.1038/s41597-025-05046-0
16. The representation of rivers in operational ocean forecasting systems: a review P. Matte et al. https://doi.org/10.5194/sp-5-opsr-19-2025
17. Panta Rhei: a decade of progress in research on change in hydrology and society H. Kreibich et al. https://doi.org/10.1080/02626667.2025.2469762
18. Uncertainty propagation from gridded precipitation datasets to streamflow simulations: application to the Reno River basin (Italy) O. Cenobio-Cruz & G. Di Baldassarre https://doi.org/10.1080/02626667.2025.2590597
19. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. https://doi.org/10.2166/nh.2022.118
20. Modelled marine migrations of Atlantic salmon post-smolts from Irish and Scottish rivers vary interannually with local currents and salinity A. Borland et al. https://doi.org/10.1093/icesjms/fsae185
21. Estimating flow rates using open-source datasets to improve drainage systems in forest and rural roads G. Mısırlıoğlu et al. https://doi.org/10.1080/02626667.2026.2653791
22. Modeling water demand for crop irrigation in Sweden under climate change H. Rudebeck et al. https://doi.org/10.1016/j.ejrh.2026.103288
23. 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. https://doi.org/10.1002/met.2192
24. Global prediction of extreme floods in ungauged watersheds G. Nearing et al. https://doi.org/10.1038/s41586-024-07145-1
25. Multi-source precipitation fusion for hydrological models: Correction and metrics importance analysis M. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103291
26. Application-based evaluation of multi-basin hydrological models Y. Du et al. https://doi.org/10.1016/j.jhydrol.2024.131727
27. Modeling drift and fate of microplastics in the Baltic Sea J. Murawski et al. https://doi.org/10.3389/fmars.2022.886295
28. Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models L. Devitt et al. https://doi.org/10.1088/1748-9326/abfac4
29. 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. https://doi.org/10.1016/j.jhydrol.2022.128840
30. Designing a Climate Service for Planning Climate Actions in Vulnerable Countries C. Photiadou et al. https://doi.org/10.3390/atmos12010121
31. Asymmetry in snow-water nexus in mountain areas mainly governed by meteorological seasonal changes R. Pimentel & C. Notarnicola https://doi.org/10.1038/s41598-025-29597-9
32. Streamflow prediction in “geopolitically ungauged” basins using satellite observations and regionalization at subcontinental scale T. Du et al. https://doi.org/10.1016/j.jhydrol.2020.125016
33. HydroGFD3.0 (Hydrological Global Forcing Data): a 25 km global precipitation and temperature data set updated in near-real time P. Berg et al. https://doi.org/10.5194/essd-13-1531-2021
34. Impact‐Based Skill Evaluation of Seasonal Precipitation Forecasts Z. Nikraftar et al. https://doi.org/10.1029/2024EF004936
35. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
36. Using ensemble reforecasts to generate flood thresholds for improved global flood forecasting E. Zsoter et al. https://doi.org/10.1111/jfr3.12658
37. 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. https://doi.org/10.3390/w12102911
38. Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. https://doi.org/10.1002/hyp.14481
39. Transboundary conflict from surface water scarcity under climate change R. Jiang et al. https://doi.org/10.1038/s41467-025-63568-y
40. Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. https://doi.org/10.3390/w12072037
41. Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models C. Skoulikaris & M. Piliouras https://doi.org/10.1002/hyp.15044
42. Global hydrological parameter estimates to local applications: Influence of forcing and catchment properties J. Schalla et al. https://doi.org/10.2166/nh.2023.086
43. Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data A. de Lavenne et al. https://doi.org/10.1002/hyp.14767
44. Implementing Hydrological Forecasting Services Supporting Waterway Management and Transportation Logistics Relating to Hydroclimatic Impacts D. Meißner et al. https://doi.org/10.3390/atmos13101606
45. 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. https://doi.org/10.1111/jfr3.12864
46. Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method B. Twaróg https://doi.org/10.3390/atmos15080898
47. River–sea thermal differential experienced by salmon post‐smolts is not a proximal driver of marine survival E. Tyldesley et al. https://doi.org/10.1111/jfb.70134
48. A hybrid statistical-dynamical forecast of seasonal streamflow for a catchment in the Upper Columbia River basin in Canada T. Swift-LaPointe et al. https://doi.org/10.3389/frwa.2025.1595898
49. Assessing hydrological sensitivity to future climate change over the Canadian southern boreal forest Z. He & J. Pomeroy https://doi.org/10.1016/j.jhydrol.2023.129897
50. Performance of State‐of‐the‐Art C3S European Seasonal Climate Forecast Models for Mean and Extreme Precipitation Over Africa S. Gebrechorkos et al. https://doi.org/10.1029/2021WR031480
51. Random forest-based modeling of stream nutrients at national level in a data-scarce region H. Virro et al. https://doi.org/10.1016/j.scitotenv.2022.156613
52. Reservoir operation impacts on streamflow and sediment dynamics in the transboundary river basin, Vietnam T. Bui et al. https://doi.org/10.1002/hyp.14994
53. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. https://doi.org/10.1016/j.jhydrol.2023.129431
54. Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. https://doi.org/10.1016/j.iswcr.2023.06.004
55. Technical note: How many models do we need to simulate hydrologic processes across large geographical domains? W. Knoben et al. https://doi.org/10.5194/hess-29-2361-2025
56. MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models R. Schweppe et al. https://doi.org/10.5194/gmd-15-859-2022
57. The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment A. Tarpanelli et al. https://doi.org/10.1007/s10712-026-09935-w
58. Hydrological Model Application in the Sirba River: Early Warning System and GloFAS Improvements G. Passerotti et al. https://doi.org/10.3390/w12030620
59. A Comparison Between Global Nutrient Retention Models for Freshwater Systems J. Zhou et al. https://doi.org/10.3389/frwa.2022.894604
60. Improving the usability of climate services for the water sector: The AQUACLEW experience R. Pimentel et al. https://doi.org/10.1016/j.cliser.2022.100329
61. Assessment of hydropower potential of some existing obstacles on rivers. Case study: Arges-Vedea basin, Romania L. Vuta et al. https://doi.org/10.1051/e3sconf/202455102006
62. Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models B. Woldegiorgis et al. https://doi.org/10.1029/2022WR033250
63. DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al. https://doi.org/10.5194/gmd-18-4247-2025
64. Technical note: Benchmarking large-domain model performance under sampling uncertainty G. Gründemann et al. https://doi.org/10.5194/hess-30-3439-2026
65. Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences B. Twaróg https://doi.org/10.3390/su16198311
66. Assessment of climate change impacts on streamflow in the Inner Niger Delta under CMIP6 scenarios B. Bonkoungou et al. https://doi.org/10.2166/wcc.2025.496
67. Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al. https://doi.org/10.1029/2021WR031753
68. Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. https://doi.org/10.1029/2021WR030437
69. Global trends in using the InVEST model suite and related research: A systematic review A. Mukhopadhyay et al. https://doi.org/10.1016/j.ecohyd.2024.06.002
70. Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. https://doi.org/10.5194/hess-24-3725-2020
71. Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States E. Towler et al. https://doi.org/10.5194/hess-27-1809-2023
72. Implementation of a watershed modelling framework to support adaptive management in the Canadian side of the Lake Erie basin A. Neumann et al. https://doi.org/10.1016/j.ecoinf.2021.101444
73. Use of Abstraction and Discharge Data to Improve the Performance of a National‐Scale Hydrological Model P. Rameshwaran et al. https://doi.org/10.1029/2021WR029787
74. Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. https://doi.org/10.5194/hess-26-3419-2022
75. Hydrological Web Services for Operational Flood Risk Monitoring and Forecasting at Local Scale in Niger T. De Filippis et al. https://doi.org/10.3390/ijgi11040236
76. Customizing large-scale hydrological models: Harnessing the open data realm for impactful local applications I. Pechlivanidis & J. Musuuza https://doi.org/10.1016/j.ejrh.2025.102390
77. The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. https://doi.org/10.5194/hess-29-567-2025
78. Simulating river regulation and reservoir performance in a continental-scale hydrologic model A. Tefs et al. https://doi.org/10.1016/j.envsoft.2021.105025
79. Comparison of open access global climate services for hydrological data J. Merks et al. https://doi.org/10.1080/02626667.2020.1820012
80. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. https://doi.org/10.5194/hess-26-975-2022
81. The Added Value of Different Data Types for Calibrating and Testing a Hydrologic Model in a Small Catchment B. Széles et al. https://doi.org/10.1029/2019WR026153
82. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al. https://doi.org/10.1029/2022WR033447
83. Advancing understanding of parameterization effects in global hydrologic models through multi-model, multi-variable evaluation J. Kim et al. https://doi.org/10.1016/j.jhydrol.2026.135208
84. Identification of robust catchment classification methods for Sahelian watersheds P. Darbandsari et al. https://doi.org/10.1016/j.ejrh.2024.102067
85. Implementing a parsimonious variable contributing area algorithm for the prairie pothole region in the HYPE modelling framework M. Ahmed et al. https://doi.org/10.1016/j.envsoft.2023.105769
86. Changing freshwater contributions to the Arctic T. Stadnyk et al. https://doi.org/10.1525/elementa.2020.00098
87. Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al. https://doi.org/10.1016/j.jhydrol.2024.131016
88. Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. https://doi.org/10.1080/02626667.2022.2035388
89. Assessing robustness in global hydrological predictions by comparing modelling and Earth observations R. Pimentel et al. https://doi.org/10.1080/02626667.2023.2267544
90. ROBIN: Reference observatory of basins for international hydrological climate change detection S. Turner et al. https://doi.org/10.1038/s41597-025-04907-y
91. Understanding the relationship between streamflow forecast skill and value across the western US P. Modi et al. https://doi.org/10.5194/hess-29-5593-2025
92. A co-generation success story: Improving drinking water management through hydro-climate services C. Cantone et al. https://doi.org/10.1016/j.cliser.2023.100399
93. A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm R. Imhoff et al. https://doi.org/10.1016/j.envsoft.2024.106099
94. Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling G. Cheng et al. https://doi.org/10.1029/2021WR031370
95. A Hybrid Physics-Machine Learning Modeling Framework Enhances Nonpoint Source Pollution Forecasting D. Zuo et al. https://doi.org/10.1021/acsestwater.5c01003
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97. Reproducible and relocatable regional ocean modelling: fundamentals and practices J. Polton et al. https://doi.org/10.5194/gmd-16-1481-2023
98. 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. https://doi.org/10.5194/gmd-14-3843-2021
99. Future water resources and droughts in the Atlas Mountains of Morocco under a high-emission climate scenario O. Lahnik et al. https://doi.org/10.1016/j.ejrh.2025.102371
100. Large-scale semi-distributed modelling of dissolved silica fluxes and assessment of their role in coastal eutrophication J. Strömqvist et al. https://doi.org/10.1080/02626667.2025.2530125
101. Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project M. Ahmed et al. https://doi.org/10.1016/j.jhydrol.2023.129820
102. Unravelling runoff processes in Andean basins in northern Ecuador through hydrological signatures J. Gordillo & L. Pineda https://doi.org/10.1002/hyp.14354
103. Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al. https://doi.org/10.1111/jfr3.12895
104. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River G. Massazza et al. https://doi.org/10.3390/w12123504
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106. Hybrid forecasting: blending climate predictions with AI models L. Slater et al. https://doi.org/10.5194/hess-27-1865-2023
107. Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies B. Uniyal & J. Dietrich https://doi.org/10.1029/2020WR029263
108. Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico S. Arciniega-Esparza et al. https://doi.org/10.1016/j.jhydrol.2025.133826