941 citations as recorded by crossref.

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42. A Comparative Assessment of Hydrological Models in the Upper Cauvery Catchment R. Horan et al. https://doi.org/10.3390/w13020151
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45. Assessment and validation of remote sensing rainfall products in a data-scarce Notwane sub-catchment in Botswana C. Kerapetse et al. https://doi.org/10.1016/j.pce.2026.104425
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47. A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network K. Wai et al. https://doi.org/10.1016/j.ejrh.2025.102553
48. Potential challenges for the restoration of Biscayne Bay (Florida, USA) in the face of climate change effects revealed with predictive models V. Alarcon et al. https://doi.org/10.1016/j.ocecoaman.2023.106929
49. Precipitation Modeling for Extreme Weather Based on Sparse Hybrid Machine Learning and Markov Chain Random Field in a Multi-Scale Subspace M. Lee & Y. Chen https://doi.org/10.3390/w13091241
50. Coupled Model for Assessing the Present and Future Watershed Vulnerabilities to Climate Change Impacts A. Martínez et al. https://doi.org/10.3390/w15040711
51. A multi-objective comparative framework for Enhanced GRACE-Groundwater comparative analysis M. Akl et al. https://doi.org/10.1016/j.jhydrol.2025.134403
52. Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. https://doi.org/10.1016/j.jhydrol.2023.129176
53. Coherent Streamflow Variability in Monsoon Asia Over the Past Eight Centuries—Links to Oceanic Drivers H. Nguyen et al. https://doi.org/10.1029/2020WR027883
54. Adapting the multivariate patch time series transformer (M-Patch-TST) for robust hydro-climatic forecasting in arid regions A. Zarei https://doi.org/10.1016/j.envc.2026.101474
55. Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States K. Hunt et al. https://doi.org/10.5194/hess-26-5449-2022
56. Evolution of flood protection levels and flood vulnerability in Europe since 1950 estimated with vine-copula models D. Paprotny et al. https://doi.org/10.1007/s11069-024-07039-5
57. FloodTransformer: Efficient real-time high-resolution flood forecasting Z. Gu et al. https://doi.org/10.1016/j.envsoft.2025.106832
58. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations M. Querales et al. https://doi.org/10.1016/j.asoc.2022.108535
59. Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. https://doi.org/10.5194/hess-25-6339-2021
60. Forecasting photovoltaic power in high-latitude regions via support vector machine optimized by meta-heuristics S. Oruç et al. https://doi.org/10.1038/s41598-025-33415-7
61. Performance of three reanalyses in simulating the water table elevation in different shallow unconfined aquifers in Central Italy P. Cerlini et al. https://doi.org/10.1002/met.2118
62. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. https://doi.org/10.5194/hess-28-3695-2024
63. Importance of Detailed Soil Information for Hydrological Modelling in an Urbanized Environment J. van Tol et al. https://doi.org/10.3390/hydrology7020034
64. Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models A. Tiwari et al. https://doi.org/10.1038/s44221-025-00435-6
65. Calibration of WinSLAMM to stormwater volume and pollutant mass flux data in Ohio, USA: Informing pollutant loads in untreated stormwater from various urban land uses I. Simpson et al. https://doi.org/10.1016/j.jhydrol.2025.133383
66. Using Physics-Encoded GeoAI to Improve the Physical Realism of Deep Learning′s Rainfall-Runoff Responses under Climate Change H. Li et al. https://doi.org/10.1016/j.jag.2024.104101
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68. Integrated Quantile Mapping and Spatial Clustering for Robust Bias Correction of Satellite Precipitation in Data-Sparse Regions G. Al-Rawas et al. https://doi.org/10.3390/su17188321
69. Integrating endocrine-related health effects into comparative human toxicity characterization Y. Emara et al. https://doi.org/10.1016/j.scitotenv.2020.143874
70. Spatial Analysis of Groundwater Level Data in Nairobi Aquifer Suite Using Geostatistical Methods . Dennis W. Kahuthu et al. https://doi.org/10.51583/IJLTEMAS.2025.1410000098
71. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. https://doi.org/10.3390/w16040530
72. Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models E. Cantoni et al. https://doi.org/10.1016/j.ejrh.2022.101169
73. Buckle propagation failure of subsea pipelines; experimental, analytical, and numerical simulations M. Alrsai et al. https://doi.org/10.1080/15397734.2024.2382838
74. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. https://doi.org/10.1029/2019WR025975
75. Enhancing the Representation of Glaciers and Ice Sheets in the ecLand Land-Surface Model: Impacts on Surface Energy Balance and Hydrology Across Scales G. Arduini et al. https://doi.org/10.5194/tc-20-1119-2026
76. Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. https://doi.org/10.1016/j.pce.2024.103565
77. Spatiotemporal Analysis on the Teleconnection of ENSO and IOD to the Stream Flow Regimes in Java, Indonesia A. Nugroho et al. https://doi.org/10.3390/w14020168
78. Evaluation of accuracy for satellites rainfall datasets compared in ground stations: a case study of duhok governorate, Northern Iraq A. Al-Hussein et al. https://doi.org/10.1007/s40899-024-01158-4
79. Water Resources Evaluation and Sustainability Considering Climate Change and Future Anthropic Demands in the Arequipa Region of Southern Peru J. Quiroz et al. https://doi.org/10.3390/su152316270
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82. Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. https://doi.org/10.1029/2021WR031092
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84. Guidance for parameterizing post‐fire hydrologic models with in situ infiltration measurements T. Liu et al. https://doi.org/10.1002/esp.5633
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86. Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa) C. Zouré et al. https://doi.org/10.3390/land12112017
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88. Catchment Attributes Influencing Performance of Global Streamflow Reanalysis X. Ding https://doi.org/10.3390/w16243582
89. Evaluation of microphysics and boundary layer schemes for simulating extreme rainfall events over Saudi Arabia using WRF-ARW R. Sahu et al. https://doi.org/10.5194/nhess-26-21-2026
90. The role and value of distributed precipitation data in hydrological models R. Loritz et al. https://doi.org/10.5194/hess-25-147-2021
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107. Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia M. Alexopoulos et al. https://doi.org/10.5194/hess-27-2559-2023
108. Meteorological drought predictability dynamics and possible driving mechanisms in a changing environment in the Loess Plateau, China Y. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107842
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112. Land use and climate change effects on water yield from East African forested water towers C. Wamucii et al. https://doi.org/10.5194/hess-25-5641-2021
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114. Modeling the Water Systems of the Western US to Support Climate‐Resilient Electricity System Planning D. Yates et al. https://doi.org/10.1029/2022EF003220
115. Bioretention Design Modifications Increase the Simulated Capture of Hydrophobic and Hydrophilic Trace Organic Compounds T. Rodgers et al. https://doi.org/10.1021/acs.est.3c10375
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120. Transformation rate maps of dissolved organic carbon in the contiguous US L. Li et al. https://doi.org/10.5194/essd-17-2713-2025
121. High‐resolution reference evapotranspiration for arid Egypt: Comparative analysis and evaluation of empirical and artificial intelligence models M. Sobh et al. https://doi.org/10.1002/joc.7894
122. Evaluation of general circulation models in simulating spatial patterns of climate variables over various regions of Iran S. Hosseinpour et al. https://doi.org/10.2166/wcc.2025.707
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303. Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. https://doi.org/10.3390/rs14153541
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