704 citations as recorded by crossref.

1. Expanding the Sediment Transport Tracking Possibilities in a River Basin through the Development of a Digital Platform—DNS/SWAT P. Wilk 10.3390/app12083848
2. OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia G. Ayzel 10.3390/hydrology8010003
3. Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E. Cooper et al. 10.5194/hess-25-2445-2021
4. Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records M. Vlah et al. 10.5194/hess-28-545-2024
5. A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia) J. Quilty & J. Adamowski 10.1016/j.envsoft.2021.105119
6. Multi-Decadal Variability in the Snow-Cover Reconstruction at Parma Observatory (Northern Italy, 1681–2018 CE) N. Diodato et al. 10.3389/feart.2020.561148
7. Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions K. Li et al. 10.1029/2021WR031557
8. Hydrological modeling in a region with sparsely observed data in the eastern Central Andes of Peru, Amazon L. Baltazar et al. 10.1016/j.jsames.2022.104151
9. Parameter allocation approach for runoff simulation in an arid catchment using the KINEROS2 hydrological model D. Ghonchepour et al. 10.1111/nrm.12364
10. Suspended sediment routing through a small on-stream reservoir based on particle properties A. Krajewski & A. Sikorska-Senoner 10.1007/s11368-020-02872-0
11. Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations W. Fei et al. 10.1029/2020WR028846
12. Climate change impacts on renewable groundwater resources in the andosol-dominated Andean highlands, Ecuador J. Senent-Aparicio et al. 10.1016/j.catena.2023.107766
13. Learning about precipitation lapse rates from snow course data improves water balance modeling F. Avanzi et al. 10.5194/hess-25-2109-2021
14. Development of a global operational snow analysis: The US Air Force Snow and Ice Analysis Y. Yoon et al. 10.1016/j.rse.2022.113080
15. Integrated Basin-Scale Modelling for Sustainable Water Management Using MIKE HYDRO Basin Model: A Case Study of Parvati Basin, India A. Agrawal et al. 10.3390/w16192739
16. Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1 D. Xu et al. 10.5194/gmd-15-5021-2022
17. Predicting Snowmelt Runoff at the Source of the Mountainous Euphrates River Basin in Turkey for Water Supply and Flood Control Issues Using HEC-HMS Modeling S. Şengül & M. İspirli 10.3390/w14030284
18. Controls on Stream Water Age in a Saturation Overland Flow‐Dominated Catchment D. Lapides et al. 10.1029/2021WR031665
19. Do Land Use Changes Balance out Sediment Yields under Climate Change Predictions on the Sub-Basin Scale? The Carpathian Basin as an Example P. Orlińska-Woźniak et al. 10.3390/w12051499
20. Assessment and Prediction of Sea Level Trend in the South Pacific Region N. Raj et al. 10.3390/rs14040986
21. Using Deep Learning Algorithms for Intermittent Streamflow Prediction in the Headwaters of the Colorado River, Texas F. Forghanparast & G. Mohammadi 10.3390/w14192972
22. On the evaluation of climate change impact models T. Wagener et al. 10.1002/wcc.772
23. Real-time foul sewer hydraulic modelling driven by water consumption data from water distribution systems Q. Zhang et al. 10.1016/j.watres.2020.116544
24. Assessing the characteristics of recent drought events in South Korea using WRF-Hydro J. Lee et al. 10.1016/j.jhydrol.2022.127459
25. Changes in the hydrological and sediment regimes of two neighboring catchments in the past sixty years Y. Zhao et al. 10.1016/j.catena.2023.107248
26. SWATLitho: A hydrogeochemical model to estimate daily geochemical loads at the catchment scale J. Lechuga-Crespo et al. 10.1016/j.envsoft.2020.104893
27. The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River L. Hempel et al. 10.3390/rs14091978
28. Evaluating long‐term One‐Way Atmosphere‐Hydrology simulations and the impacts of Two‐Way coupling in four mountain watersheds W. Rudisill et al. 10.1002/hyp.14578
29. Informing Stochastic Streamflow Generation by Large-Scale Climate Indices at Single and Multiple Sites M. Zaerpour et al. 10.1016/j.advwatres.2021.104037
30. Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios B. Zhao et al. 10.1016/j.ejrh.2021.100968
31. A novel statistical framework of drought projection by improving ensemble future climate model simulations under various climate change scenarios H. Abbas & Z. Ali 10.1007/s10661-024-13108-w
32. Evaluation of Gridded Rainfall Products in Three West African Basins O. Goudiaby et al. 10.3390/hydrology11060075
33. Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs Y. Hu et al. 10.1016/j.jhydrol.2025.132766
34. Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity L. Su et al. 10.5194/hess-28-3079-2024
35. Evaluation of CMORPH, PERSIANN-CDR, CHIRPS V2.0, TMPA 3B42 V7, and GPM IMERG V6 Satellite Precipitation Datasets in Arabian Arid Regions A. Helmi & M. Abdelhamed 10.3390/w15010092
36. Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
37. Evaluation of reanalysis-based, satellite-based, and “bias-correction”-based datasets for capturing extreme precipitation in Iran A. Zarrin & A. Dadashi-Roudbari 10.1007/s00703-022-00903-8
38. Impacts of water regulation through a reservoir on drought dynamics and propagation in the Pilica River watershed T. Senbeta et al. 10.1016/j.ejrh.2024.101812
39. An R package to partition observation data used for model development and evaluation to achieve model generalizability Y. Ji et al. 10.1016/j.envsoft.2024.106238
40. The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
41. Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part I: Model Development) S. Marahatta et al. 10.3390/w13111546
42. Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency A. Adombi & R. Chesnaux 10.1007/s12665-024-12063-6
43. Predicting Hydrological Change in an Alpine Glacierized Basin and Its Sensitivity to Landscape Evolution and Meteorological Forcings C. Aubry‐Wake & J. Pomeroy 10.1029/2022WR033363
44. Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India G. Sireesha Naidu et al. 10.2166/h2oj.2020.034
45. The effect of embedding actual evapotranspiration uncertainty in water balance model: coupling of interval-based hydrologic model and METRIC method M. Khodadadi et al. 10.1007/s11600-023-01112-6
46. Snowmelt estimation using an empirical radiation model S. Daly et al. 10.1016/j.jhydrol.2023.129290
47. Streamflow Forecasting without Models W. Krajewski et al. 10.1175/JHM-D-19-0292.1
48. Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region G. Ghimire et al. 10.3390/forecast2030013
49. Hybrid hydrological modeling for large alpine basins: a semi-distributed approach B. Li et al. 10.5194/hess-28-4521-2024
50. A Comparative Assessment of Hydrological Models in the Upper Cauvery Catchment R. Horan et al. 10.3390/w13020151
51. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al. 10.5194/hess-25-2187-2021
52. Analyzing streamflow variation in the data-sparse mountainous regions: An integrated CCA-RF-FA framework H. Wang et al. 10.1016/j.jhydrol.2021.126056
53. Examining model performances and parameter uncertainty for streamflow and suspended sediment regime simulation: Comparison of three calibration methods R. Ranjan & A. Mishra 10.1016/j.jhydrol.2022.128304
54. Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins M. Eini et al. 10.1016/j.scitotenv.2023.162396
55. Evaluating climate change scenarios in the white volta basin: A statistical bias-correction approach J. Mensah et al. 10.1016/j.pce.2024.103584
56. 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. 10.1016/j.ocecoaman.2023.106929
57. 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 10.3390/w13091241
58. Coupled Model for Assessing the Present and Future Watershed Vulnerabilities to Climate Change Impacts A. Martínez et al. 10.3390/w15040711
59. 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
60. Coherent Streamflow Variability in Monsoon Asia Over the Past Eight Centuries—Links to Oceanic Drivers H. Nguyen et al. 10.1029/2020WR027883
61. Climate change impacts on contaminant loads delivered with sediment yields from different land use types in a Carpathian basin E. Szalińska et al. 10.1016/j.scitotenv.2020.142898
62. Using high level validation to increase lake ecosystem model reliability S. Regev et al. 10.1016/j.envsoft.2023.105637
63. Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin Ö. Ekmekcioğlu et al. 10.1080/02626667.2022.2046754
64. Higher Frozen Soil Permeability Represented in a Hydrological Model Improves Spring Streamflow Prediction From River Basin to Continental Scales J. Agnihotri et al. 10.1029/2022WR033075
65. Three-Dimensional Simulations of Wind Effects on Green Island Wake T. Hou et al. 10.3390/w12113039
66. Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States K. Hunt et al. 10.5194/hess-26-5449-2022
67. Evolution of flood protection levels and flood vulnerability in Europe since 1950 estimated with vine-copula models D. Paprotny et al. 10.1007/s11069-024-07039-5
68. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations M. Querales et al. 10.1016/j.asoc.2022.108535
69. Stormwater Bioretention Cells Are Not an Effective Treatment for Persistent and Mobile Organic Compounds (PMOCs) T. Rodgers et al. 10.1021/acs.est.1c07555
70. Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
71. Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration A. Adib et al. 10.1007/s13201-023-01895-5
72. Soil thermal properties during freeze–thaw dynamics as function of variable organic carbon and grain size distribution J. de Bruin et al. 10.1002/vzj2.20252
73. To tame a land: Limiting factors in model performance for the multi-objective calibration of a pan-European, semi-distributed hydrological model for discharge and sediments C. Brendel et al. 10.1016/j.ejrh.2023.101544
74. Performance of three reanalyses in simulating the water table elevation in different shallow unconfined aquifers in Central Italy P. Cerlini et al. 10.1002/met.2118
75. Important factors when simulating the water and nitrogen balance in a tile-drained agricultural field under long-term monitoring S. Motarjemi et al. 10.1016/j.scitotenv.2021.147610
76. Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al. 10.1002/joc.6704
77. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. 10.5194/hess-28-3695-2024
78. Importance of Detailed Soil Information for Hydrological Modelling in an Urbanized Environment J. van Tol et al. 10.3390/hydrology7020034
79. Using Physics-Encoded GeoAI to Improve the Physical Realism of Deep Learning′s Rainfall-Runoff Responses under Climate Change H. Li et al. 10.1016/j.jag.2024.104101
80. Quantification of climate change sensitivity of shallow and deep groundwater in Denmark I. Seidenfaden et al. 10.1016/j.ejrh.2022.101100
81. Total nitrogen and phosphorus loads in surface runoff from urban land use (city of Lublin) under climate change E. Szalińska et al. 10.1007/s11356-024-34365-9
82. Integrating endocrine-related health effects into comparative human toxicity characterization Y. Emara et al. 10.1016/j.scitotenv.2020.143874
83. Laboratory and Physical Prototype Tests for the Investigation of Hydraulic Hysteresis of Pyroclastic Soils M. Pirone et al. 10.3390/geosciences10080320
84. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. 10.3390/w16040530
85. Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model M. Besharatifar & M. Nasseri 10.1016/j.pce.2024.103691
86. Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models E. Cantoni et al. 10.1016/j.ejrh.2022.101169
87. Buckle propagation failure of subsea pipelines; experimental, analytical, and numerical simulations M. Alrsai et al. 10.1080/15397734.2024.2382838
88. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
89. Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. 10.1016/j.pce.2024.103565
90. Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences M. Naser & A. Alavi 10.1007/s44150-021-00015-8
91. Spatiotemporal Analysis on the Teleconnection of ENSO and IOD to the Stream Flow Regimes in Java, Indonesia A. Nugroho et al. 10.3390/w14020168
92. Data-driven modeling of municipal water system responses to hydroclimate extremes R. Johnson et al. 10.2166/hydro.2023.170
93. Evaluation of accuracy for satellites rainfall datasets compared in ground stations: a case study of duhok governorate, Northern Iraq A. Al-Hussein et al. 10.1007/s40899-024-01158-4
94. Discerning Watershed Response to Hydroclimatic Extremes with a Deep Convolutional Residual Regressive Neural Network A. Larson et al. 10.3390/hydrology10060116
95. Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere V. Tran et al. 10.1038/s41597-024-03483-x
96. Water Resources Evaluation and Sustainability Considering Climate Change and Future Anthropic Demands in the Arequipa Region of Southern Peru J. Quiroz et al. 10.3390/su152316270
97. Daily soil temperature simulation at different depths in the Red River Basin: a long short-term memory approach M. Tahmasebi Nasab et al. 10.1007/s40808-024-01988-3
98. Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
99. Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
100. Uncertainty sources in flood projections over contrasting hydrometeorological regimes M. Castaneda-Gonzalez et al. 10.1080/02626667.2022.2137415
101. Guidance for parameterizing post‐fire hydrologic models with in situ infiltration measurements T. Liu et al. 10.1002/esp.5633
102. Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa) C. Zouré et al. 10.3390/land12112017
103. Pros and cons of various efficiency criteria for hydrological model performance evaluation C. Onyutha 10.5194/piahs-385-181-2024
104. Identifying Major Hydrologic Change Drivers in a Highly Managed Transboundary Endorheic Basin: Integrating Hydro‐Ecological Models and Time Series Data Mining Techniques J. Acero Triana & H. Ajami 10.1029/2022WR032281
105. Catchment Attributes Influencing Performance of Global Streamflow Reanalysis X. Ding 10.3390/w16243582
106. Dynamics of streamflow permanence in a headwater network: Insights from catchment-scale model simulations D. Mahoney et al. 10.1016/j.jhydrol.2023.129422
107. Assessing the performance of blue-green solutions through a fine-scale water balance model for an urban area X. Wu et al. 10.1016/j.scitotenv.2024.174750
108. The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
109. Evaluation of Three Gridded Precipitation Products to Quantify Water Inputs over Complex Mountainous Terrain of Western China L. Zhang et al. 10.3390/rs13193795
110. A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al. 10.1016/j.jhydrol.2022.128481
111. Which Rainfall Errors Can Hydrologic Models Handle? Implications for Using Satellite‐Derived Products in Sparsely Gauged Catchments C. Stephens et al. 10.1029/2020WR029331
112. Quantifying the effects of land use change and aggregate stormwater management practices on fecal coliform dynamics in a temperate catchment M. Paule-Mercado et al. 10.1016/j.scitotenv.2022.155608
113. Climate change impact on streamflow and suspended sediment load in the flood-prone river basin R. Ranjan & A. Mishra 10.2166/wcc.2023.037
114. Hydrologic responses of single land use urban and forested watersheds and their implications to improving urban drainage design I. Simpson et al. 10.1016/j.jhydrol.2023.129430
115. Unlocking the potential of stochastic simulation through Bluecat: Enhancing runoff predictions in arid and high‐altitude regions J. Jorquera & A. Pizarro 10.1002/hyp.15046
116. Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models T. Fu & C. Zhang 10.1016/j.ecoinf.2024.102470
117. Calibration of ECMWF SEAS5 based streamflow forecast in Seasonal hydrological forecasting for Citarum river basin, West Java, Indonesia D. Ratri et al. 10.1016/j.ejrh.2022.101305
118. Bayes_Opt-SWMM: A Gaussian process-based Bayesian optimization tool for real-time flood modeling with SWMM A. Tanim et al. 10.1016/j.envsoft.2024.106122
119. Analysing the elevation-distributed hydro-climatic regime of the snow covered and glacierised Hunza Basin in the upper Indus A. Nazeer et al. 10.3389/feart.2023.1215878
120. Steam allocation for SAGD: Multi-pad multi-criteria short and long-term real-time performance management N. Sibaweihi & J. Trivedi 10.1016/j.geoen.2023.211880
121. Enhancing streamflow simulation in large and human-regulated basins: Long short-term memory with multiscale attributes A. Tursun et al. 10.1016/j.jhydrol.2024.130771
122. Snow-detonated floods: Assessment of the U.S. midwest march 2019 event N. Velásquez et al. 10.1016/j.ejrh.2023.101387
123. Shifting Hydrological Processes in a Canadian Agroforested Catchment due to a Warmer and Wetter Climate O. Aygün et al. 10.3390/w12030739
124. Hindcasting and Forecasting Total Suspended Sediment Concentrations Using a NARX Neural Network V. Alarcon 10.3390/su13010363
125. Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin M. Merizalde et al. 10.3389/frwa.2023.1233899
126. Modeling of phosphorus loss from field to watershed: A review Z. Wang et al. 10.1002/jeq2.20109
127. A millennium-long climate history of erosive storms across the Tiber River Basin, Italy, from 725 to 2019 CE N. Diodato et al. 10.1038/s41598-021-99720-z
128. Optimizing Spatial Discretization According to Input Data in the Soil and Water Assessment Tool: A Case Study in a Coastal Mediterranean Watershed M. Puche et al. 10.3390/w17020239
129. Assessing multi-scale effects of natural water retention measures on in-stream fine bed material deposits with a modeling cascade D. Baldan et al. 10.1016/j.jhydrol.2020.125702
130. Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site N. Diodato et al. 10.1088/2752-5295/acffe9
131. Hillslope scale conceptualization of hydrological processes for data-limited catchments and hypothesis testing by systematic model comparison R. Buragohain et al. 10.1016/j.jhydrol.2024.131548
132. Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe S. Camici et al. 10.5194/hess-24-4869-2020
133. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al. 10.1080/02626667.2023.2251968
134. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
135. Validation of CRU TS v4.08, ERA5-Land, IMERG v07B, and MSWEP v2.8 Precipitation Estimates Against Observed Values over Pakistan H. Abbas et al. 10.3390/rs16244803
136. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
137. Evaluation of ERA5 and NCEP reanalysis climate models for precipitation and soil moisture over a semi-arid area in Kuwait P. Kokkalis et al. 10.1007/s00382-024-07141-1
138. Past and future changes toward earlier timing of streamflow over Pakistan from bias-corrected regional climate projections (1962–2099) S. Ali et al. 10.1016/j.jhydrol.2022.128959
139. An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region T. Bu et al. 10.3390/w16243583
140. Real-time rainfall and runoff prediction by integrating BC-MODWT and automatically-tuned DNNs: Comparing different deep learning models A. Amini et al. 10.1016/j.jhydrol.2024.130804
141. Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia M. Alexopoulos et al. 10.5194/hess-27-2559-2023
142. Innovative water management using  abandoned quarries for urban water supply and flood mitigation M. RinishaKartheeshwari et al. 10.1007/s10668-024-04716-0
143. Meteorological drought predictability dynamics and possible driving mechanisms in a changing environment in the Loess Plateau, China Y. Wang et al. 10.1016/j.atmosres.2024.107842
144. Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes 10.1016/j.jhydrol.2023.129177
145. Global streamflow modelling using process-informed machine learning M. Magni et al. 10.2166/hydro.2023.217
146. Catchment scale runoff time-series generation and validation using statistical models for the Continental United States D. Patton et al. 10.1016/j.envsoft.2022.105321
147. Deep Learning Approach with LSTM for Daily Streamflow Prediction in a Semi-Arid Area: A Case Study of Oum Er-Rbia River Basin, Morocco K. Nifa et al. 10.3390/w15020262
148. Estimating evapotranspiration within a dryland watershed: Comparison of eddy‐covariance observations, water budget estimates, and satellite‐based products Y. Liu et al. 10.1002/hyp.14631
149. On the application of rainfall projections from a convection-permitting climate model to lumped catchment models M. Ascott et al. 10.1016/j.jhydrol.2023.129097
150. A novel ensemble algorithm based on hydrological event diversity for urban rainfall–runoff model calibration and validation E. Snieder & U. Khan 10.1016/j.jhydrol.2023.129193
151. Land use and climate change effects on water yield from East African forested water towers C. Wamucii et al. 10.5194/hess-25-5641-2021
152. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
153. Modeling the Water Systems of the Western US to Support Climate‐Resilient Electricity System Planning D. Yates et al. 10.1029/2022EF003220
154. Bioretention Design Modifications Increase the Simulated Capture of Hydrophobic and Hydrophilic Trace Organic Compounds T. Rodgers et al. 10.1021/acs.est.3c10375
155. An ensemble approach to downscale climatological variables via screening of clustered ANNs Z. Razzaghzadeh et al. 10.2166/wcc.2024.255
156. A Comparison between One-Step and Two-Step Nesting Strategy in the Dynamical Downscaling of Regional Climate Model COSMO-CLM at 2.2 km Driven by ERA5 Reanalysis M. Raffa et al. 10.3390/atmos12020260
157. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
158. Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS T. Kim et al. 10.1016/j.jhydrol.2021.126423
159. High‐resolution reference evapotranspiration for arid Egypt: Comparative analysis and evaluation of empirical and artificial intelligence models M. Sobh et al. 10.1002/joc.7894
160. Estimating the parameters of a monthly hydrological model using hydrological signatures A. Matos et al. 10.1590/2318-0331.292420230121
161. The Modified Soil Moisture Constraint Scheme Significantly Enhances the Evapotranspiration Simulation Accuracy of the MOD16 Model M. Guo et al. 10.3390/su151612460
162. Hybrid neuro fuzzy inference systems for simulating catchment sediment yield M. Sedighkia et al. 10.1016/j.ijsrc.2024.02.004
163. Estimating transpiration globally by integrating the Priestley-Taylor model with neural networks M. Hannemann et al. 10.1088/1748-9326/ad8506
164. A Calibration‐Free Groundwater Module for Improving Predictions of Low Flows A. Tashie et al. 10.1029/2021WR030800
165. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
166. Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks S. Yu et al. 10.5194/hess-24-5279-2020
167. Global hydrological models continue to overestimate river discharge S. Heinicke et al. 10.1088/1748-9326/ad52b0
168. A Simulation–Optimization System to Assess Dam Construction with a Focus on Environmental Degradation at Downstream M. Sedighkia & A. Abdoli 10.1007/s11269-024-03781-4
169. The Revised Curve Number Rainfall–Runoff Methodology for an Improved Runoff Prediction K. Lee et al. 10.3390/w15030491
170. Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting E. Fijani & K. Khosravi 10.1007/s11269-023-03613-x
171. A Hybrid Machine Learning Model for Modeling Nitrate Concentration in Water Sources A. Mazraeh et al. 10.1007/s11270-023-06745-3
172. Seasonality induced nutritional status in Nigeria Internally Displaced Persons (IDP) camps: CORDEX-Africa projected scenarios U. Okoro et al. 10.1016/j.ijdrr.2024.105101
173. Controls of Variability in the Laurentian Great Lakes Terrestrial Water Budget S. Minallah et al. 10.1029/2022WR033759
174. Impact of the Grid Resolution and Deterministic Interpolation of Precipitation on Rainfall-Runoff Modeling in a Sparsely Gauged Mountainous Catchment P. Gilewski 10.3390/w13020230
175. Added value of an atmospheric circulation pattern‐based statistical downscaling approach for daily precipitation distributions in complex terrain B. Böker et al. 10.1002/joc.8136
176. Utilizing waveform synthesis in harmonic oscillator seasonal trend model for short- and long-term streamflow drought modeling and forecasting K. Raczyński & J. Dyer 10.2166/hydro.2024.229
177. The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa F. Merk et al. 10.5194/hess-28-5511-2024
178. Assessing impacts of climate variability and changing cropping patterns on regional evapotranspiration, yield and water productivity in California’s San Joaquin watershed J. Xue et al. 10.1016/j.agwat.2021.106852
179. Assessment of left-censored data treatment methods using stochastic simulation F. Silva & É. Pinto 10.1590/2318-0331.282320230087
180. An integrated approach based on the correction of imbalanced small datasets and the application of machine learning algorithms to predict total phosphorus concentration in rivers M. Almeida & P. Coelho 10.1016/j.ecoinf.2023.102138
181. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
182. Near-term impact of climate variability on yam rot incidence over a humid tropical region: projections in CORDEX-Africa scenarios U. Okoro et al. 10.1017/S1742170521000089
183. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. 10.5194/gmd-17-3199-2024
184. A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm R. Imhoff et al. 10.1016/j.envsoft.2024.106099
185. A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
186. Correspondence Between Model Structures and Hydrological Signatures: A Large‐Sample Case Study Using 508 Brazilian Catchments P. David et al. 10.1029/2021WR030619
187. Multiscale and multi event evaluation of short-range real-time flood forecasting in large metropolitan areas G. Coelho et al. 10.1016/j.jhydrol.2022.128212
188. Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. 10.1029/2022WR032312
189. Housing market dynamics of the post-Sandy Hudson estuary, Long Island Sound, and New Jersey coastline are explained by NFIP participation S. Poudel et al. 10.1088/1748-9326/acea38
190. Calibrated Eckhardt’s filter versus alternative baseflow separation methods: A silica-based approach in a Brazilian catchment F. Helfer et al. 10.1016/j.jhydrol.2024.132073
191. Satellite-based precipitation error propagation in the hydrological modeling chain across China J. Gou et al. 10.1016/j.jhydrol.2024.130906
192. Predictive Understanding of Stream Salinization in a Developed Watershed Using Machine Learning J. Smith et al. 10.1021/acs.est.4c05004
193. Development and validation of an oil palm model for a wide range of planting densities and soil textures in Malaysian growing conditions C. Teh et al. 10.1016/j.heliyon.2024.e32561
194. Geostatistical estimates of groundwater nitrate-nitrogen concentrations with spatial auxiliary information on DRASTIC-LU-based aquifer contamination vulnerability C. Jang 10.1007/s11356-023-28208-2
195. Modeling the influence of small reservoirs on hydrological drought propagation in space and time P. Colombo et al. 10.1016/j.jhydrol.2024.130640
196. Bias correcting discharge simulations from the GEOGloWS global hydrologic model R. Hales et al. 10.1016/j.jhydrol.2023.130279
197. Improvement of low flows simulation in the SASER hydrological modeling chain O. Cenobio-Cruz et al. 10.1016/j.hydroa.2022.100147
198. Impact of local versus global datasets on hydrological responses in Mahanadi River basin in India S. Naha et al. 10.1080/02626667.2023.2193700
199. Enhancing process-based hydrological models with embedded neural networks: A hybrid approach B. Li et al. 10.1016/j.jhydrol.2023.130107
200. Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing N. Nguyen et al. 10.3390/rs15184563
201. Different Vegetation Information Inputs Significantly Affect the Evapotranspiration Simulations of the PT-JPL Model Z. Luo et al. 10.3390/rs14112573
202. Rapid response data-driven reconstructions for storm surge around New Zealand J. Tausía et al. 10.1016/j.apor.2023.103496
203. Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia S. Rusli et al. 10.1016/j.gsd.2023.100953
204. Simulated soil water distribution patterns and water use of Alfalfa under different subsurface drip irrigation depths M. Eltarabily et al. 10.1016/j.agwat.2024.108693
205. Reconstruction of Missing Daily Streamflow Data using the MissForest Algorithm in Southern Baluchestan Basin, Iran J. Aryanmanesh et al. 10.61186/jwmr.15.2.49
206. Long-term variability in hydrological droughts and floods in sub-Saharan Africa: New perspectives from a 65-year daily streamflow dataset J. Ekolu et al. 10.1016/j.jhydrol.2022.128359
207. Setting an environmental flow regime under climate change in a data-limited Mediterranean basin with temporary river M. Leone et al. 10.1016/j.ejrh.2024.101698
208. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
209. Low-cost adaptation options to support green growth in agriculture, water resources, and coastal zones S. Salack et al. 10.1038/s41598-022-22331-9
210. Leveraging River Network Topology and Regionalization to Expand SWOT-Derived River Discharge Time Series in the Mississippi River Basin C. Nickles & E. Beighley 10.3390/rs13081590
211. Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent M. Tarek et al. 10.1080/02626667.2021.1948046
212. Evaluating the significance of wetland representation in isotope-enabled distributed hydrologic modeling in mesoscale Precambrian shield watersheds A. Tafvizi et al. 10.1016/j.jhydrol.2024.131377
213. Assessing flash flood inundation from an extreme rainfall event: case study: Wadi Al Jizzi Oman E. Abushandi et al. 10.2166/aqua.2023.100
214. The dilemma of objective function selection for sensitivity and uncertainty analyses of semi-distributed hydrologic models across spatial and temporal scales J. Acero Triana et al. 10.1016/j.jhydrol.2024.132482
215. Simulation of the impact of climate change on runoff and drought in an arid and semiarid basin (the Hablehroud, Iran) M. Lotfirad et al. 10.1007/s13201-021-01494-2
216. Evaluation of typical methods for baseflow separation in the contiguous United States J. Xie et al. 10.1016/j.jhydrol.2020.124628
217. Testing the mHM-MPR Reliability for Parameter Transferability across Locations in North–Central Nigeria K. Ogbu et al. 10.3390/hydrology9090158
218. Stream macroinvertebrate communities in restored and impacted catchments respond differently to climate, land-use, and runoff over a decade H. Nguyen et al. 10.1016/j.scitotenv.2024.172659
219. A time-space varying distributed unit hydrograph (TS-DUH) for operational flash flood forecasting using publicly-available datasets Y. Hu et al. 10.1016/j.jhydrol.2024.131785
220. Eye of Horus: a vision-based framework for real-time water level measurement S. Erfani et al. 10.5194/hess-27-4135-2023
221. A hydrological model skill score and revised R-squared C. Onyutha 10.2166/nh.2021.071
222. Evaluating combinations of rainfall datasets and optimization techniques for improved hydrological predictions using the SWAT+ model M. Tapas et al. 10.1016/j.ejrh.2024.102134
223. Streamflow Regionalization Considering Water Balance with Actual Evapotranspiration Estimated from Remote Sensing R. Ribeiro et al. 10.1061/(ASCE)HE.1943-5584.0002183
224. Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. 10.1016/j.envsoft.2022.105511
225. Evaluating 2021 extreme flash flood of Teesta River . Shampa et al. 10.2166/nh.2023.122
226. Streamflow trends of the Pyrenees using observations and multi-model approach (1980–2013) R. Clavera-Gispert et al. 10.1016/j.ejrh.2023.101322
227. Projecting global fertilizer consumption under shared socioeconomic pathway (SSP) scenarios using an approach of ensemble machine learning Y. Gao et al. 10.1016/j.scitotenv.2023.169130
228. A new large-scale suspended sediment model and its application over the United States H. Li et al. 10.5194/hess-26-665-2022
229. Two integrated conceptual–wavelet-based data-driven model approaches for daily rainfall–runoff modelling C. Sezen & T. Partal 10.2166/hydro.2022.171
230. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
231. A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change F. Carletti et al. 10.5194/hess-26-3447-2022
232. Model calibration using hydropedological insights to improve the simulation of internal hydrological processes using SWAT+ E. Smit et al. 10.1002/hyp.15158
233. Hydrometeorological Insights into the Forecasting Performance of Multi-Source Weather over a Typical Hill-Karst Basin, Southwest China C. Mo et al. 10.3390/atmos15020236
234. An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia D. Hughes et al. 10.1080/15715124.2023.2278678
235. A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments P. Yeste et al. 10.5194/hess-28-5331-2024
236. Physics-inspired integrated space–time artificial neural networks for regional groundwater flow modeling A. Ghaseminejad & V. Uddameri 10.5194/hess-24-5759-2020
237. The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS) C. Baugh et al. 10.3390/rs12091490
238. A framework on utilizing of publicly availability stream gauges datasets and deep learning in estimating monthly basin-scale runoff in ungauged regions M. Le et al. 10.1016/j.advwatres.2024.104694
239. Impacts of climate warming on global floods and their implication to current flood defense standards J. Chen et al. 10.1016/j.jhydrol.2023.129236
240. Robustness of a parsimonious subsurface drainage model at the French national scale A. Jeantet et al. 10.5194/hess-25-5447-2021
241. Can Gauss‐Newton Algorithms Outperform Stochastic Optimization Algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using SWAT Y. Qin et al. 10.1029/2021WR031532
242. A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
243. Applicability of SWOT data in calibrating WRF-Hydro hydrological model over the Tawa River basin K. Verma & I. J. 10.1080/10106049.2023.2185292
244. Effects of input/output parameters on artificial neural network model efficiency for breakthrough contaminant prediction J. Pal & D. Chakrabarty 10.2166/ws.2021.125
245. Reconstructing daily streamflow and floods from large-scale atmospheric variables with feed-forward and recurrent neural networks in high latitude climates J. Hagen et al. 10.1080/02626667.2023.2165927
246. Hybrid global gridded snow products and conceptual simulations of distributed snow budget: evaluation of different scenarios in a mountainous watershed M. Taheri et al. 10.1007/s11707-022-1005-2
247. Understanding the influence of “hot” models in climate impact studies: a hydrological perspective M. Rahimpour Asenjan et al. 10.5194/hess-27-4355-2023
248. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
249. Assessment of climate change effect on environmental flows for macroinvertebrates using an integrated hydrological-hydraulic-habitat modelling S. Chattopadhyay et al. 10.1016/j.ejrh.2024.101982
250. Impact of climate change on the streamflow in northern Patagonia J. Rivera et al. 10.2166/wcc.2024.492
251. Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions G. Cinkus et al. 10.5194/hess-27-1961-2023
252. Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
253. Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5) H. Yan et al. 10.1029/2022MS003312
254. A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
255. Multi-model Subseasonal Precipitation Forecasts over the Contiguous United States: Skill Assessment and Statistical Postprocessing Y. Li et al. 10.1175/JHM-D-21-0029.1
256. Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming W. Liu et al. 10.1029/2020WR028830
257. Assessment of streamflow in ungauged basin by using physical similarity approach S. Barbhuiya et al. 10.1007/s12517-023-11786-3
258. Understanding the impact of vegetation dynamics on the water cycle in the Noah-MP model A. Hosseini et al. 10.3389/frwa.2022.925852
259. Parameter sensitivity and uncertainty of a one-dimensional morphodynamic model in the Lower Yellow River Y. Cheng et al. 10.1016/j.jhydrol.2023.130016
260. Estimating reservoir evaporation using numerical weather prediction: Omo Gibe III reservoir in Ethiopia A. Anebo et al. 10.1088/2515-7620/acf02d
261. Cost of mitigating climate change through reforestation in China X. Zhang et al. 10.3389/ffgc.2023.1229216
262. Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department N. Awasthi et al. 10.3390/rs15133443
263. Urban Floods: Linking the Overloading of a Storm Water Sewer System to Precipitation Parameters I. Vorobevskii et al. 10.3390/hydrology7020035
264. A daily 25 km short-latency rainfall product for data-scarce regions based on the integration of the Global Precipitation Measurement mission rainfall and multiple-satellite soil moisture products C. Massari et al. 10.5194/hess-24-2687-2020
265. Modelling long-term alluvial-peatland dynamics in temperate river floodplains W. Swinnen et al. 10.5194/bg-18-6181-2021
266. Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling L. Laguna-Zarate et al. 10.3390/jmse9121437
267. Climate Change Impacts on the Seasonal Variation of Hydro-Physical Characteristics in the Persian Gulf A. Azarnivand et al. 10.1007/s12237-022-01151-0
268. Exploring hydrological system performance for alpine low flows in local and continental prediction systems A. Chang et al. 10.1016/j.ejrh.2024.102056
269. SanAntonioApp R. Navas et al. 10.31285/AGRO.26.979
270. Response surface method approach for analysing flow characteristics in an expanding channel S. Gandhi et al. 10.1680/jencm.24.00014
271. Study of Navigable Flow Conditions in the Intermediate Channel of Decentralized Cascade Locks L. Mei et al. 10.3390/w15193394
272. 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
273. Compound Flooding in Halmstad: Common Causes, Interannual Variability and the Effects of Climate Change M. Hieronymus et al. 10.16993/tellusa.4068
274. Considering flood scaling property in multi-objective calibration of the SWAT model: a case study in Zijinguan watershed, Northern China Y. Zheng et al. 10.1007/s11069-023-05859-5
275. Multistep-ahead daily inflow forecasting using the ERA-Interim reanalysis data set based on gradient-boosting regression trees S. Liao et al. 10.5194/hess-24-2343-2020
276. A novel approach to include small reservoirs into a global hydrological model: Assessing its potential to reduce the agricultural water gap of smallholder farmers in Senegal A. Hoogeveen et al. 10.1016/j.ejrh.2024.102074
277. A new approach to ensemble precipitation Estimation: Coupling satellite hydrological products with backward water balance models in Large-Scale P. Dastjerdi et al. 10.1016/j.jhydrol.2023.130564
278. Spatial and Temporal Evolution and Driving Mechanisms of Water Conservation Amount of Major Ecosystems in Typical Watersheds in Subtropical China Y. Li et al. 10.3390/f14010093
279. Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin L. Latifoğlu et al. 10.1007/s12145-024-01471-8
280. Modelling the effectiveness of land‐based natural flood management in a large, permeable catchment S. Collins et al. 10.1111/jfr3.12896
281. Estimation and inter-comparison of infiltration models in the agricultural area of the Mitidja Plain, Algeria A. Mazighi et al. 10.1007/s40333-023-0037-0
282. Simulating the hydrological regime of the snow fed and glaciarised Gilgit Basin in the Upper Indus using global precipitation products and a data parsimonious precipitation-runoff model A. Nazeer et al. 10.1016/j.scitotenv.2021.149872
283. Toward optimal rainfall – Hydrologic QPE correction in headwater basins M. Liao & A. Barros 10.1016/j.rse.2022.113107
284. Runoff Simulation in Data-Scarce Alpine Regions: Comparative Analysis Based on LSTM and Physically Based Models J. Yue et al. 10.3390/w16152161
285. A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis A. Adombi et al. 10.1016/j.jhydrol.2024.131370
286. Hydrological consequences of controlled drainage with subirrigation J. de Wit et al. 10.1016/j.jhydrol.2023.130432
287. Impacts of irrigation development on water quality in the San Salvador watershed (Part 1) F. Hastings et al. 10.31285/AGRO.27.1198
288. A fish biodiversity protection based approach for assessing environmental flow regime in rivers M. Sedighkia & A. Abdoli 10.1016/j.jclepro.2024.141834
289. Unravelling the causes of 2015 winter monsoon extreme rainfall and floods over Chennai: Influence of atmospheric variability and urbanization on the hydrological cycle R. Konduru et al. 10.1016/j.uclim.2022.101395
290. Development of an integrated modelling framework to evaluate impacts of pressures on habitat conditions and riverine biota S. Chattopadhyay et al. 10.1002/eco.2585
291. Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. 10.1016/j.jhydrol.2023.129090
292. Use of the Hayami diffusive wave equation to model the relationship infected–recoveries–deaths of Covid-19 pandemic R. Moussa & S. Majdalani 10.1017/S0950268821001011
293. Advancing understanding of in-river phosphorus dynamics using an advection–dispersion model (ADModel-P) E. Timis et al. 10.1016/j.jhydrol.2022.128173
294. Complementing ERA5 and E-OBS with high-resolution river discharge over Europe S. Hagemann & T. Stacke 10.1016/j.oceano.2022.07.003
295. Monthly Runoff Prediction for Xijiang River via Gated Recurrent Unit, Discrete Wavelet Transform, and Variational Modal Decomposition Y. Yang et al. 10.3390/w16111552
296. Improving long-term prediction of terrestrial water storage through integration with CMIP6 decadal prediction E. Zhu et al. 10.1016/j.atmosres.2024.107776
297. Storage in South‐Eastern Australian Catchments A. Buzacott & R. Vervoort 10.1029/2021WR029799
298. Reply to STOTEN 802 (2022) 149713: The fallacy in the use of the “best-fit” solution in hydrologic modeling C. Schürz & K. Schulz 10.1016/j.scitotenv.2022.153402
299. Estimation of flow duration and mass flow curves in ungauged tributary streams B. Vaheddoost et al. 10.1016/j.jclepro.2023.137246
300. Runoff components and the contributions of precipitation and temperature in a highly glacierized river basin in Central Asia A. Wang et al. 10.1007/s11707-022-0995-0
301. Hydrological assessment of different satellite precipitation products in semi-arid basins in Morocco E. El Khalki et al. 10.3389/frwa.2023.1243251
302. Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise W. Knoben & D. Spieler 10.5194/hess-26-3299-2022
303. Evolution of Drought Trends under Climate Change Scenarios in Karst Basin C. Mo et al. 10.3390/w15101934
304. Hydrological process controls on streamflow variability in a glacierized headwater basin C. Aubry‐Wake et al. 10.1002/hyp.14731
305. Detecting drought events over a region in Central Europe using a regional and two satellite-based precipitation datasets M. Eini et al. 10.1016/j.agrformet.2023.109733
306. Quantifying agricultural drought in the Koshi River basin through soil moisture simulation P. Banjara et al. 10.1016/j.ejrh.2024.102132
307. Influence of SMAP soil moisture retrieval assimilation on runoff estimation across South Asia J. Ahmad et al. 10.1016/j.jhydrol.2024.131550
308. Retrieval of total precipitable water from INSAT-3D Imager observations using deep neural network R. Gangwar & P. Thapliyal 10.1016/j.asr.2024.09.036
309. Improved Monthly and Seasonal Multi-Model Ensemble Precipitation Forecasts in Southwest Asia Using Machine Learning Algorithms M. Pakdaman et al. 10.3390/w14172632
310. Estimation of Chlorophyll-a Concentrations in Lanalhue Lake Using Sentinel-2 MSI Satellite Images F. Barraza-Moraga et al. 10.3390/rs14225647
311. Impact-based flood forecasting in the Greater Horn of Africa L. Alfieri et al. 10.5194/nhess-24-199-2024
312. RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat R. Riggs et al. 10.1016/j.envsoft.2021.105254
313. Modeling the Hydrologic Influence of Subsurface Tile Drainage Using the National Water Model P. Valayamkunnath et al. 10.1029/2021WR031242
314. Metamodelling of Naturalised Groundwater Levels at a Regional Level in New Zealand J. Yang et al. 10.3390/su151813393
315. A comparison of frameworks for separating the impacts of human activities and climate change on river flow in existing records and different near‐future scenarios S. Andaryani et al. 10.1002/hyp.14301
316. Estimating the Water Budget of the Upper Blue Nile River Basin With Water and Energy Processes (WEP) Model S. Abebe et al. 10.3389/feart.2022.923252
317. The divergence of energy- and water-balance evapotranspiration estimates in humid regions L. Zhang et al. 10.1016/j.jhydrol.2023.129971
318. Comparison of gridded precipitation estimates for regional hydrological modeling in West and Central Africa C. Kouakou et al. 10.1016/j.ejrh.2023.101409
319. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al. 10.1029/2022EF003291
320. Indicator metrics and temporal aggregations introduce ambiguities in water scarcity estimates F. Wolkeba et al. 10.1038/s41598-024-65155-5
321. Improving Monthly Rainfall Forecast in a Watershed by Combining Neural Networks and Autoregressive Models A. Pérez-Alarcón et al. 10.1007/s40710-022-00602-x
322. Effects of Automatic Hyperparameter Tuning on the Performance of Multi‐Variate Deep Learning‐Based Rainfall Nowcasting A. Amini et al. 10.1029/2022WR032789
323. HERA: a high-resolution pan-European hydrological reanalysis (1951–2020) A. Tilloy et al. 10.5194/essd-17-293-2025
324. Estimation of Segment-Averaged Geometric-Hydraulic Relationships as a Function of Depth in Natural Rivers Using Inverse Modeling S. Kalami et al. 10.1080/24694452.2022.2154633
325. Predicting post-fire hydrological and erosive catchment response during rainfall events. A comparison of OpenLISEM and MOHID Land models M. Basso et al. 10.1016/j.jhydrol.2024.131258
326. Extreme precipitation indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. 10.1016/j.sciaf.2022.e01181
327. Deep Learned Process Parameterizations Provide Better Representations of Turbulent Heat Fluxes in Hydrologic Models A. Bennett & B. Nijssen 10.1029/2020WR029328
328. Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA V. Alarcon et al. 10.1007/s11069-021-05163-0
329. A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion A. Sun et al. 10.5194/hess-26-5163-2022
330. A two-step downscaling method for high-scale super-resolution of daily temperature — a case study of Wei River Basin, China X. Li et al. 10.1007/s11356-022-24422-6
331. Analysis of climatic extremes in the Parnaíba River Basin, Northeast Brazil, using GPM IMERG-V6 products F. Batista et al. 10.1016/j.wace.2024.100646
332. Hydrological forecasting at impact scale: the integrated ParFlow hydrological model at 0.6 km for climate resilient water resource management over Germany A. Belleflamme et al. 10.3389/frwa.2023.1183642
333. Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models L. Campozano et al. 10.3390/w13213022
334. Comprehensive evaluation and comparison of ten precipitation products in terms of accuracy and stability over a typical mountain basin, Southwest China C. Mo et al. 10.1016/j.atmosres.2023.107116
335. Modeling land use and land cover change: using a hindcast to estimate economic parameters in gcamland v2.0 K. Calvin et al. 10.5194/gmd-15-429-2022
336. Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices . Dimple et al. 10.1016/j.ecoinf.2023.102093
337. Risk Management and Optimization in Real-Time Noncondensable Gas Co-injection under Economic Uncertainty N. Sibaweihi & J. Trivedi 10.2118/209591-PA
338. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
339. Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al. 10.1016/j.jhydrol.2024.131834
340. Adapting subseasonal-to-seasonal (S2S) precipitation forecast at watersheds for hydrologic ensemble streamflow forecasting with a machine learning-based post-processing approach L. Zhang et al. 10.1016/j.jhydrol.2024.130643
341. Investigating model performance and parameter sensitivity for runoff simulation across multiple events for a large green roof L. Worthen et al. 10.1002/hyp.14387
342. Impacts of forestation on the annual and seasonal water balance of a tropical catchment under climate change H. Marhaento et al. 10.1186/s40663-021-00345-5
343. A new dataset of river flood hazard maps for Europe and the Mediterranean Basin F. Dottori et al. 10.5194/essd-14-1549-2022
344. A process-driven deep learning hydrological model for daily rainfall-runoff simulation H. Li et al. 10.1016/j.jhydrol.2024.131434
345. Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products Z. Wei et al. 10.1016/j.jhydrol.2020.125180
346. Investigation of stage‐discharge model performance for streamflow estimating: A case study of the Gono River, Japan M. Maghrebi et al. 10.1002/rra.4106
347. Are moments of rainfall spatial variability useful for runoff modelling in operational hydrology? G. Giani et al. 10.1080/02626667.2022.2092405
348. Evaluating the performance of multiple satellite-based precipitation products in the Congo River Basin using the SWAT model V. Dos Santos et al. 10.1016/j.ejrh.2022.101168
349. Increasing knowledge of the transmissivity field of a detrital aquifer by geostatistical merging of different sources of information E. Pardo-Igúzquiza et al. 10.1007/s10040-023-02644-3
350. The role of ponds in pesticide dissipation at the catchment scale: The case of the Save agricultural catchment (Southwestern France) M. Joffre et al. 10.1016/j.scitotenv.2024.173131
351. A decision‐led evaluation approach for flood forecasting system developments: An application to the Global Flood Awareness System in Bangladesh S. Hossain et al. 10.1111/jfr3.12959
352. The freshwater discharge into the Adriatic Sea revisited L. Aragão et al. 10.3389/fclim.2024.1368456
353. High-resolution operational soil moisture monitoring for forests in central Germany I. Vorobevskii et al. 10.5194/hess-28-3567-2024
354. Using hydropedological characteristics to improve modelling accuracy in Afromontane catchments R. Harrison et al. 10.1016/j.ejrh.2021.100986
355. A hydropedological approach to simulate streamflow and soil water contents with SWAT+ J. van Tol et al. 10.1002/hyp.14242
356. Assessment of vulnerability to water shortage in semi-arid river basins: The value of demand reduction and storage capacity A. Gharib et al. 10.1016/j.scitotenv.2023.161964
357. Comparing the use of all data or specific subsets for training machine learning models in hydrology: A case study of evapotranspiration prediction H. Shi et al. 10.1016/j.jhydrol.2023.130399
358. Development and testing of updated curve number models for efficient runoff estimation in steep-slope watersheds M. Ajmal et al. 10.1016/j.jhydrol.2022.129049
359. Practice makes the model: A critical review of stormwater green infrastructure modelling practice V. Pons et al. 10.1016/j.watres.2023.119958
360. Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
361. Assessing the Impacts of Climatic and Water Management Scenarios in a Small Mountainous Greek River A. Mentzafou et al. 10.3390/hydrology12010013
362. On strictly enforced mass conservation constraints for modelling the Rainfall‐Runoff process J. Frame et al. 10.1002/hyp.14847
363. A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
364. REAL-Fog part 2: A novel approach to calculate high resoluted spatio-temporal fog deposition: A daily fog deposition data set for entire Germany for 1949–2018 P. Körner et al. 10.1016/j.jhydrol.2021.126360
365. Metrics Assessment and Streamflow Modeling under Changing Climate in a Data-Scarce Heterogeneous Region: A Case Study of the Kabul River Basin F. Akhtar et al. 10.3390/w14111697
366. Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations C. Zheng et al. 10.1016/j.jhydrol.2022.128444
367. Real-time short-range flood forecasting based on a watershed scale 2-D hydrodynamic model and high-resolution precipitation forecast ensemble G. Coelho et al. 10.1016/j.jhydrol.2024.132564
368. Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. 10.1016/j.envsoft.2024.106053
369. A new snow module improves predictions of the isotope-enabled MAIDENiso forest growth model I. Hermoso de Mendoza et al. 10.5194/gmd-15-1931-2022
370. Predicting abrupt depletion of dissolved oxygen in Chaohu lake using CNN-BiLSTM with improved attention mechanism X. Wang et al. 10.1016/j.watres.2024.122027
371. Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data M. Pleasants et al. 10.1016/j.jhydrol.2024.132376
372. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
373. Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. 10.1016/j.iswcr.2023.06.004
374. Nitrogen legacies in anthropogenic landscapes: a case study in the Mondego Basin in Portugal J. Marques et al. 10.1007/s11356-021-16725-x
375. Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
376. Groundwater level monitoring using exploited domestic wells: outlier removal and imputation of missing values A. Abi et al. 10.1007/s10040-023-02740-4
377. Watching the Grand Ethiopian Renaissance Dam from a distance: Implications for sustainable water management of the Nile water K. Abdelmohsen et al. 10.1093/pnasnexus/pgae219
378. Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods D. Erdélyi et al. 10.1016/j.jhydrol.2023.129129
379. Characteristics of discharge of skew side sluice gate L. Rentachintala 10.1080/23249676.2024.2401442
380. Performance Evaluation of Satellite-Based Rainfall Products over Nigeria K. Ogbu et al. 10.3390/cli8100103
381. Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions D. Klotz et al. 10.5194/hess-28-3665-2024
382. Enhanced prediction of discharge coefficients in Harmonic Plan Circular Weirs using advanced machine learning and ensemble techniques S. Bijanvand et al. 10.1016/j.flowmeasinst.2025.102812
383. Spatio-temporal trends of hydrological components: the case of the Tafna basin (northwestern Algeria) A. Mami et al. 10.2166/wcc.2021.242
384. Establishing performance criteria for evaluating watershed-scale sediment and nutrient models at fine temporal scales A. Pandit et al. 10.1016/j.watres.2025.123156
385. Which range of streamflow data is most informative in the calibration of an hourly hydrological model? M. Saadi & C. Furusho-Percot 10.1080/02626667.2023.2277835
386. Multiple conceptual hydrological models for simulating streamflow in data-sparse river basins: an application of the Vietnamese Cau river basin T. Tran Tuan 10.2166/wpt.2024.181
387. Microwave-based soil moisture improves estimates of vegetation response to drought in China J. Qiu et al. 10.1016/j.scitotenv.2022.157535
388. Hydrological ensemble forecasting using a multi-model framework P. Dion et al. 10.1016/j.jhydrol.2021.126537
389. Streamflow depletion from groundwater pumping in contrasting hydrogeological landscapes: Evaluation and sensitivity of a new management tool Q. Li et al. 10.1016/j.jhydrol.2020.125568
390. Modelling of streamflow before and after dam construction in the Mono River Basin in Togo-Benin, West Africa H. Djan’na Koubodana et al. 10.1080/15715124.2021.1969943
391. Study on Urban Rainfall–Runoff Model under the Background of Inter-Basin Water Transfer J. Yang et al. 10.3390/w14172660
392. Robust imputation method with context-aware voting ensemble model for management of water-quality data J. Choi et al. 10.1016/j.watres.2023.120369
393. Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony T. Luong et al. 10.3390/hydrology7040084
394. Machine-Learning-Based Precipitation Reconstructions: A Study on Slovenia’s Sava River Basin A. Ramírez Molina et al. 10.3390/hydrology10110207
395. Remotely Sensing River Greenhouse Gas Exchange Velocity Using the SWOT Satellite C. Brinkerhoff et al. 10.1029/2022GB007419
396. Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. 10.1016/j.ejrh.2023.101416
397. CCAM: China Catchment Attributes and Meteorology dataset Z. Hao et al. 10.5194/essd-13-5591-2021
398. A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm J. Brombacher et al. 10.1016/j.agwat.2022.107602
399. Groundwater model diagnostic calibration and uncertainty analysis using information theory M. Khorshidi et al. 10.1080/02626667.2024.2347974
400. The effect of weighting hydrological projections based on the robustness of hydrological models under a changing climate E. Pastén-Zapata et al. 10.1016/j.ejrh.2022.101113
401. Reconstruction of long-term hydrologic change and typhoon-induced flood events over the entire island of Taiwan J. Stelly et al. 10.1016/j.ejrh.2024.101806
402. Evaluation of gridded precipitation data in water availability modeling in CONUS F. Wolkeba & M. Mekonnen 10.1016/j.jhydrol.2023.130575
403. Generation and evaluation of energy and water fluxes from the HOLAPS framework: Comparison with satellite-based products during extreme hot weather A. García-García & J. Peng 10.1016/j.rse.2024.114451
404. Comprehensive evaluation of parameter importance and optimization based on the integrated sensitivity analysis system: A case study of the BTOP model in the upper Min River Basin, China L. Liu et al. 10.1016/j.jhydrol.2022.127819
405. GR2L: A robust dual-layer green roof water balance model to assess multifunctionality aspects under climate variability J. Knappe et al. 10.3389/fclim.2023.1115595
406. Streamflow and surface soil moisture simulation capacity of high-resolution Satellite-derived precipitation estimate datasets: A case study in Xijiang river basin, China K. Fei et al. 10.1016/j.ejrh.2022.101163
407. Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand W. Hao et al. 10.1088/2634-4505/ad5e1d
408. The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China L. Song et al. 10.3390/rs13234956
409. Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia S. Ghimire et al. 10.1016/j.engappai.2022.104860
410. A method for detecting the non-stationarity during high flows under global change Z. Zhang et al. 10.1016/j.scitotenv.2022.158341
411. What is the near-natural catchment? An application of hydrological signatures assessment H. Xu et al. 10.1016/j.ecolind.2025.113209
412. Examining the impact of hydro-geomorphological features in satellite river width-based discharge estimations M. Adarsh et al. 10.1117/1.JRS.18.024503
413. Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series J. Koehler et al. 10.3390/rs14184461
414. Understanding Intensity–Duration–Frequency (IDF) Curves Using IMERG Sub-Hourly Precipitation against Dense Gauge Networks A. Lau & A. Behrangi 10.3390/rs14195032
415. Predicting compound agricultural drought and hot events using a Cascade Modeling framework combining Bayesian Model Averaging ensemble with Vine Copula (CaMBMAViC) H. Wu et al. 10.1016/j.jhydrol.2024.131901
416. Streamflow simulation improvements enabled by a state‐of‐the‐art algorithm for reservoir routing in the U.S. National Water Model D. Li et al. 10.1111/1752-1688.13244
417. Pitfalls and a feasible solution for using KGE as an informal likelihood function in MCMC methods: DREAM(ZS) as an example Y. Liu et al. 10.5194/hess-26-5341-2022
418. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
419. Harmonic oscillator seasonal trend (HOST) model for hydrological drought pattern identification and analysis K. Raczyński & J. Dyer 10.1016/j.jhydrol.2023.129514
420. Reservoirs Response to Climate Change Under Medium Emission Scenario in Upper Krishna Basin, India Using Geospatial Inputs E. Arivoli et al. 10.1007/s12524-024-01861-x
421. Light use efficiency models incorporating diffuse radiation impacts for simulating terrestrial ecosystem gross primary productivity: A global comparison H. Xu et al. 10.1016/j.agrformet.2023.109376
422. Performances of reanalysis products in representing the temperature climatology of Ethiopia T. Tadesse et al. 10.1007/s00704-024-05332-8
423. Analyzing the impact of environmental flow indices on protecting the biodiversity of macroinvertebrates M. Sedighkia & A. Abdoli 10.2166/aqua.2024.324
424. Nutrient retention in a small reservoir under changed variability of inflow nutrient concentration M. Determann et al. 10.1080/20442041.2024.2305105
425. Characterizing Catchment‐Scale Nitrogen Legacies and Constraining Their Uncertainties F. Sarrazin et al. 10.1029/2021WR031587
426. Coastal sea levels and wind-waves in the Mediterranean Sea since 1950 from a high-resolution ocean reanalysis T. Toomey et al. 10.3389/fmars.2022.991504
427. When best is the enemy of good – critical evaluation of performance criteria in hydrological models G. Cinkus et al. 10.5194/hess-27-2397-2023
428. Comparative Assessment of Impacts of Future Climate Change on Runoff in Upper Daqinghe Basin, China R. Ingabire et al. 10.1007/s11769-024-1433-x
429. Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
430. A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble H. Liu et al. 10.1016/j.eng.2020.10.023
431. Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment Y. Zhou et al. 10.1016/j.jhydrol.2024.131888
432. A self-identification Neuro-Fuzzy inference framework for modeling rainfall-runoff in a Chilean watershed Y. Morales et al. 10.1016/j.jhydrol.2020.125910
433. Hybrid machine learning models for groundwater level prediction in a snow‐dominated region: An evaluation of EEMD, VMD and EWT decomposition techniques K. Gezici et al. 10.1002/hyp.15169
434. Extracting operation behaviors of cascade reservoirs using physics-guided long-short term memory networks Y. Zheng et al. 10.1016/j.ejrh.2022.101034
435. Assessment of the impact of LULC changes on peak discharge and runoff volume in Kebir river catchment Northeastern of Algeria L. Djellit et al. 10.1007/s40808-024-01981-w
436. Imputation of missing values in environmental time series by D-vine copulas A. Chapon et al. 10.1016/j.wace.2023.100591
437. A parameter parsimonious approach for catchment scale urban hydrology – Which processes are important? T. Skaugen et al. 10.1016/j.hydroa.2020.100060
438. Streamflow abrupt change and the driving factors in glacierized basins of Tarim Basin, Northwest China C. Yang et al. 10.1016/j.accre.2024.01.009
439. Hydrological Model Evaluation of Ground, GPM IMERG, and CHIRPS precipitation data for Shabelle Basin in Ethiopia A. Hussein & A. Baylar 10.55529/jecnam.31.41.60
440. Recalibration of a three-dimensional water quality model with a newly developed autocalibration toolkit (EFDC-ACT v1.0.0): how much improvement will be achieved with a wider hydrological variability? C. Zhang & T. Fu 10.5194/gmd-16-4315-2023
441. Evaluation of Gridded Precipitation Data for Hydrologic Modeling in North-Central Texas R. Ray et al. 10.3390/rs14163860
442. Evaluating satellite-based evapotranspiration estimates for hydrological applications in data-scarce regions: A case in Ethiopia Y. Dile et al. 10.1016/j.scitotenv.2020.140702
443. Performance of rainfall–runoff models in reproducing hydrological extremes: a case of the River Malaba sub-catchment A. Mubialiwo et al. 10.1007/s42452-021-04514-7
444. Water-Quality Data Imputation with a High Percentage of Missing Values: A Machine Learning Approach R. Rodríguez et al. 10.3390/su13116318
445. Is a simple model based on two mixing reservoirs able to reproduce the intra-annual dynamics of DOC and NO3 stream concentrations in an agricultural headwater catchment? L. Strohmenger et al. 10.1016/j.scitotenv.2021.148715
446. A framework for generating rating curves in Mahanadi River using hydrodynamic model and radar altimetry data P. Dhote et al. 10.1080/02626667.2024.2430387
447. Urbanization as a limiter and catalyst of watershed-scale sediment transport: Insights from probabilistic connectivity modeling I. McVey et al. 10.1016/j.scitotenv.2023.165093
448. Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies B. Duvvuri & E. Beighley 10.3390/rs15184516
449. Global-scale evaluation of precipitation datasets for hydrological modelling S. Gebrechorkos et al. 10.5194/hess-28-3099-2024
450. Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. 10.1016/j.jhydrol.2024.132238
451. Development of the consider cubature Kalman filter for state estimation of hydrological models with parameter uncertainty Y. Sun et al. 10.1016/j.jhydrol.2023.130080
452. Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions M. Castaneda-Gonzalez et al. 10.1007/s10584-023-03643-9
453. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. 10.2166/nh.2022.118
454. GloFAS-ERA5 operational global river discharge reanalysis 1979–present S. Harrigan et al. 10.5194/essd-12-2043-2020
455. An improved parameter filtering approach for processing GRACE gravity field models using first-order Gauss–Markov process L. Zhang et al. 10.1007/s00190-024-01871-0
456. Meshless Model for Wave-Induced Oscillatory Seabed Response around a Submerged Breakwater Due to Regular and Irregular Wave Loading D. Jeng et al. 10.3390/jmse9010015
457. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al. 10.3390/w13030388
458. A three-quantile bias correction with spatial transfer for the correction of simulated European river runoff to force ocean models S. Hagemann et al. 10.5194/os-20-1457-2024
459. Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. 10.3390/rs14153541
460. Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 2: Total Water Storage Change and River Discharge Estimation v. Pellet et al. 10.1029/2020WR028648
461. Performance of the medium and high horizontal resolution models from HighResMIP-CMIP6 in simulating synoptic-scale cyclones over South America A. Andrade Cardoso et al. 10.1007/s00382-024-07579-3
462. Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference G. Cheng et al. 10.1016/j.jhydrol.2022.128803
463. Employing machine learning to quantify long-term climatological and regulatory impacts on groundwater availability in intensively irrigated regions S. Nozari et al. 10.1016/j.jhydrol.2022.128511
464. Seasonal patterns and hydrological regulations of root zone storage capacity across United States S. Du et al. 10.1016/j.agrformet.2025.110428
465. Industrial water management and sustainability: Development of SIWP tool for textile industries of Bangladesh M. Haque et al. 10.1016/j.wri.2021.100145
466. Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations G. Wu et al. 10.1029/2021EF002542
467. Spatiotemporal variations in water sources and mixing spots in a riparian zone G. Nogueira et al. 10.5194/hess-26-1883-2022
468. On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow D. Tiwari et al. 10.5194/hess-28-1127-2024
469. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
470. Streamflow prediction using artificial neural networks and soil moisture proxies R. Rouse et al. 10.1017/eds.2024.48
471. Improving the performance of rainfall-runoff models using the gene expression programming approach H. Esmaeili-Gisavandani et al. 10.2166/wcc.2021.064
472. Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya M. Wanzala et al. 10.1016/j.ejrh.2022.101105
473. Spatial rainfall estimation applying machine learning techniques in a semi-arid basin J. Rodríguez-Carrillo et al. 10.2166/hydro.2024.253
474. Hydrological simulation scenarios for predicting the future water status of the Niger River in Bamako, Mali, for sustainable development L. Sangaré et al. 10.1007/s11356-025-35980-w
475. Assessing the simulation of streamflow with the LSTM model across the continental United States using the MOPEX dataset A. Tounsi et al. 10.1007/s00521-023-08922-1
476. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
477. Setting expectations for hydrologic model performance with an ensemble of simple benchmarks W. Knoben 10.1002/hyp.15288
478. A spatiotemporal framework to calibrate high‐resolution global monthly precipitation products: An application to the Urmia Lake Watershed in Iran M. Nasseri et al. 10.1002/joc.7358
479. Long-term inflow forecast using meteorological data based on long short-term memory neural networks H. Zhao et al. 10.2166/hydro.2024.196
480. INTRAGRO: A machine learning approach to predict future growth of trees under climate change S. Aryal et al. 10.1002/ece3.10626
481. HOST: Harmonic oscillator seasonal-trend model for analyzing the reoccurring nature of extreme events K. Raczyński & J. Dyer 10.1016/j.softx.2024.101771
482. Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics M. Choudhury et al. 10.1016/j.agwat.2021.107007
483. Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting K. Wai et al. 10.1007/s00521-024-09698-8
484. Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble S. Khansalari & A. Mohammadi 10.1007/s10584-024-03771-w
485. SOL40: Forty Years of Simulations under Climate and Land Use Change A. Ceppi et al. 10.3390/w14060837
486. There is glory in prevention! Regional spatio-temporal agrochemical runoff into aquatic ecosystems and its potential mitigation using multifunctional buffers L. Ramírez & I. Säumel 10.1016/j.ejrh.2022.101283
487. Impact of Future Climate Scenarios and Bias Correction Methods on the Achibueno River Basin H. Moya et al. 10.3390/w16081138
488. Delivering the latest global water resource simulation results to the public J. Boulange et al. 10.1016/j.cliser.2023.100386
489. Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region E. Quichimbo et al. 10.1002/hyp.15047
490. The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models I. Trebs et al. 10.1016/j.rse.2021.112602
491. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
492. Evaluating the Effect of Deforestation on Decadal Runoffs in Malaysia Using the Revised Curve Number Rainfall Runoff Approach J. Khor et al. 10.3390/w15071392
493. Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia M. Tan et al. 10.3390/w13223158
494. Impact of Initial Soil Conditions on Soil Hydrothermal and Surface Energy Fluxes in the Permafrost Region of the Tibetan Plateau S. Luo et al. 10.1007/s00376-023-3100-z
495. Surface water quality under climate change scenarios in the Bosque watershed, Central Texas of United States G. Tefera et al. 10.1016/j.ecohyd.2024.07.008
496. Impacts of Soil Information on Process-Based Hydrological Modelling in the Upper Goukou Catchment, South Africa E. Smit & J. van Tol 10.3390/w14030407
497. Predictability of daily streamflow for the great rivers of South America based on a simple metric I. Petry et al. 10.1080/02626667.2022.2139620
498. A dynamic connectivity metric for complex river wetlands C. Nguyen et al. 10.1016/j.jhydrol.2021.127163
499. An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks B. Nguyen et al. 10.1007/s44196-022-00156-8
500. Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling A. Reder et al. 10.1038/s41598-024-84527-5
501. Enhancing hydrological extremes prediction accuracy: Integrating diverse loss functions in Transformer models X. Li et al. 10.1016/j.envsoft.2024.106042
502. A first attempt to model global hydrology at hyper-resolution B. van Jaarsveld et al. 10.5194/esd-16-29-2025
503. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
504. Fusion-based approach for hydrometeorological drought modeling: a regional investigation for Iran F. Moghaddasi et al. 10.1007/s11356-024-32598-2
505. Storm event impacts on in-stream nitrate concentration and discharge dynamics: A comparison of high resolution in-situ measured data with model simulations B. Mehdi et al. 10.1016/j.scitotenv.2020.143406
506. Combining Standard Artificial Intelligence Models, Pre-Processing Techniques, and Post-Processing Methods to Improve the Accuracy of Monthly Runoff Predictions in Karst-Area Watersheds C. Mo et al. 10.3390/app13010088
507. Comparison of single-site, multi-site and multi-variable SWAT calibration strategies A. Franco et al. 10.1080/02626667.2020.1810252
508. Predicting Streamflow and Nutrient Loadings in a Semi-Arid Mediterranean Watershed with Ephemeral Streams Using the SWAT Model G. Pulighe et al. 10.3390/agronomy10010002
509. Temperature Characteristics Modeling for GaN PA Based on PSO-ELM Q. Lin & M. Wang 10.3390/mi15081008
510. Wetland-mediated nitrate reductions attenuate downstream: Insights from a modeling study R. Forgrave et al. 10.1016/j.jenvman.2024.122500
511. Global gridded products efficiency in closing water balance models: various modeling scenarios for behavioral assessments R. Mousavi et al. 10.1007/s11600-022-01004-1
512. Seasonal prediction of Horn of Africa long rains using machine learning: The pitfalls of preselecting correlated predictors V. Deman et al. 10.3389/frwa.2022.1053020
513. FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms S. Sadri et al. 10.5194/hess-26-5373-2022
514. Calibration for Improving the Medium-Range Soil Forecast over Central Tibet: Effects of Objective Metrics’ Diversity Y. Guo et al. 10.3390/atmos15091107
515. How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed A. Ghomlaghi et al. 10.1080/02626667.2022.2124874
516. Objective evaluation of the Global Environmental Multiscale Model (GEM) with precipitation and temperature for Iran M. Mohammadlou et al. 10.1111/nrm.12343
517. Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods M. Ohmer et al. 10.5194/hess-26-4033-2022
518. Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction F. Gurbuz et al. 10.1016/j.jhydrol.2023.130504
519. Process based calibration of a continental-scale hydrological model using soil moisture and streamflow data A. Bajracharya et al. 10.1016/j.ejrh.2023.101391
520. Cost, market, and policy constraints on mitigating climate change through afforestation in China X. Zhang et al. 10.1016/j.envint.2024.108652
521. 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
522. Site-Specific Sediment Deposition Model for Dredging Planning: Case Study of Olmsted Locks and Dam G. Ghimire et al. 10.1061/(ASCE)WW.1943-5460.0000598
523. Cyber-enabled autocalibration of hydrologic models to support Open Science A. Rajib et al. 10.1016/j.envsoft.2022.105561
524. Impacts of forest canopy heterogeneity on plot-scale hydrometeorological variables - Insights from an experiment in the humid boreal forest with the Canadian Land Surface Scheme P. Lagueux et al. 10.1016/j.agrformet.2024.110194
525. Dependence of rainfall–runoff model performance on calibration conditions under changing climatic conditions A. Jahanshahi et al. 10.1080/02626667.2024.2441325
526. 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
527. Can a physically-based land surface model accurately represent evapotranspiration partitioning? A case study in a humid boreal forest B. Hadiwijaya et al. 10.1016/j.agrformet.2021.108410
528. Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions I. Özgen-Xian et al. 10.1038/s41598-023-31925-w
529. Investigation of Data-Driven Rating Curve (DDRC) Approach B. Bhandari et al. 10.3390/w15030604
530. Evaluation and Comparison of Satellite-Derived Estimates of Rainfall in the Diverse Climate and Terrain of Central and Northeastern Ethiopia G. Adane et al. 10.3390/rs13071275
531. EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions T. Hallouin et al. 10.5194/gmd-17-4561-2024
532. DynQual v1.0: a high-resolution global surface water quality model E. Jones et al. 10.5194/gmd-16-4481-2023
533. Climate change impact assessment on the water resources of the Upper Yamuna River Basin in India R. Rathee & S. Mishra 10.1007/s10668-023-03398-4
534. Toward Optimal Rainfall for Flood Prediction in Headwater Basins—Orographic QPE Error Modeling Using Machine Learning M. Liao & A. Barros 10.1029/2023WR034456
535. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard 10.1016/j.jhydrol.2019.124474
536. Evaluation of Eight Global Precipitation Datasets in Hydrological Modeling Y. Xiang et al. 10.3390/rs13142831
537. Evaluation of ERA5 and WFDE5 forcing data for hydrological modelling and the impact of bias correction with regional climatologies: A case study in the Danube River Basin E. Probst & W. Mauser 10.1016/j.ejrh.2022.101023
538. The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada H. Yan et al. 10.1029/2023WR034496
539. A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. 10.1002/vzj2.20083
540. On the use of distributed hydrologic model for filling large gaps at different parts of the streamflow data E. Ergün & M. Demirel 10.1016/j.jestch.2022.101321
541. Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges P. Lin et al. 10.1016/j.rse.2023.113489
542. Variability in flow and tracer-based performance metric sensitivities reveal regional differences in dominant hydrological processes across the Athabasca River basin T. Holmes et al. 10.1016/j.ejrh.2022.101088
543. Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
544. The impact of managed aquifer recharge on the fate and transport of pesticides in agricultural soils T. Zhou et al. 10.1016/j.watres.2024.122442
545. Comparing alternative conceptual models for tile drains and soil heterogeneity for the simulation of tile drainage in agricultural catchments V. Boico et al. 10.1016/j.jhydrol.2022.128120
546. Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. 10.5194/hess-26-4407-2022
547. A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring J. Ge et al. 10.1016/j.watres.2024.122002
548. Median bed-material sediment particle size across rivers in the contiguous US G. Abeshu et al. 10.5194/essd-14-929-2022
549. Method for indirect determination of soil parameters for numerical simulation of dikes and earth dams T. Fichtner et al. 10.1007/s13201-022-01766-5
550. Multi-model ensemble benchmark data for hydrological modeling in Japanese river basins Y. Sawada et al. 10.3178/hrl.16.73
551. Physically-based modelling of UK river flows under climate change B. Smith et al. 10.3389/frwa.2024.1468855
552. Exploring the Application of Flood Scaling Property in Hydrological Model Calibration 10.1175/JHM-D-21-0123.1
553. POINT-BY-POINT AND COMPLEX QUALITY METRICS IN ATMOSPHERE AND OCEAN RESEARCH: REVIEW OF METHODS AND APPROACHES V. Rezvov et al. 10.29006/1564-2291.JOR-2024.52(4).10
554. Assimilation of GNSS and Synoptic Data in a Convection Permitting Limited Area Model: Improvement of Simulated Tropospheric Water Vapor Content A. Wagner et al. 10.3389/feart.2022.869504
555. Near-term efficient predictability of dry and wet years during West African monsoon season U. Okoro et al. 10.1007/s00704-024-05108-0
556. A convection-permitting and limited-area model hindcast driven by ERA5 data: precipitation performances in Italy V. Capecchi et al. 10.1007/s00382-022-06633-2
557. A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting E. Snieder & U. Khan 10.5194/hess-29-785-2025
558. Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds L. Pham et al. 10.5194/hess-25-2997-2021
559. An ensemble-based projection of future hydro-climatic extremes in Iran A. Jahanshahi et al. 10.1016/j.jhydrol.2024.131892
560. Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model Y. Lu et al. 10.1016/j.rser.2022.113105
561. Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria S. Yahiaoui et al. 10.1007/s40808-022-01444-0
562. A Holistic Modelling Approach for the Estimation of Return Levels of Peak Flows in Bavaria F. Willkofer et al. 10.3390/w12092349
563. On the Precipitation‐Induced Uncertainties in Process‐Based Hydrological Modeling in the Mekong River Basin T. Kabir et al. 10.1029/2021WR030828
564. Assessment of the Potential Hydrological Impacts of Climate Change in Quebec—Canada, a Refined Neutral Approach M. Valencia Giraldo et al. 10.3390/w15030584
565. Foul sewer model development using geotagged information and smart water meter data Y. Jia et al. 10.1016/j.watres.2021.117594
566. Amenity counts significantly improve water consumption predictions D. Dailisan et al. 10.1371/journal.pone.0265771
567. Assessing the role of location and scale of Nature Based Solutions for the enhancement of low flows J. Fennell et al. 10.1080/15715124.2022.2092490
568. From the source to the reservoir and beyond—tracking sediment particles with modeling tools under climate change predictions (Carpathian Mts.) P. Wilk et al. 10.1007/s11368-022-03287-9
569. Assessing the National Water Model’s Streamflow Estimates Using a Multi-Decade Retrospective Dataset across the Contiguous United States M. Abdelkader et al. 10.3390/w15132319
570. On the runoff validation of ‘Global BROOK90’ automatic modeling framework I. Vorobevskii et al. 10.2166/nh.2021.150
571. A novel reservoir dispatching rules extraction framework based on hybrid embedding informer S. Liu et al. 10.1016/j.jhydrol.2024.132047
572. Stormwater digital twin with online quality control detects urban flood hazards under uncertainty Y. Kim et al. 10.1016/j.scs.2024.105982
573. Assessment of physical schemes for WRF model in convection-permitting mode over southern Iberian Peninsula F. Solano-Farias et al. 10.1016/j.atmosres.2023.107175
574. Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data X. Li et al. 10.1016/j.cliser.2024.100488
575. A macromodel dns/swat dataset for the sediment yield analysis in the raba river basin (Carpathian mts.) P. Orlińska-Woźniak et al. 10.1016/j.dib.2020.106574
576. Finding the Optimal Multimodel Averaging Method for Global Hydrological Simulations W. Qi et al. 10.3390/rs13132574
577. Forecasting bacteriological presence in treated drinking water using machine learning G. Kyritsakas et al. 10.3389/frwa.2023.1199632
578. Global daily 1 km land surface precipitation based on cloud cover-informed downscaling D. Karger et al. 10.1038/s41597-021-01084-6
579. Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. 10.5194/hess-26-3151-2022
580. Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux J. Wang et al. 10.1029/2023GL103379
581. Resilient agriculture: water management for climate change adaptation in Lower Saxony R. Cotera et al. 10.2166/wcc.2024.455
582. Predicting failure pressure of the corroded offshore pipelines using an efficient finite element based algorithm and machine learning techniques M. Abyani et al. 10.1016/j.oceaneng.2022.111382
583. Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
584. Assimilation of Multi-Source Precipitation Data over Southeast China Using a Nonparametric Framework Y. Zhou et al. 10.3390/rs13061057
585. Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name? K. Jansen et al. 10.1029/2020WR029143
586. Role of reservoir regulation and groundwater feedback in a simulated ground‐soil‐vegetation continuum: A long‐term regional scale analysis J. Wei et al. 10.1002/hyp.14341
587. Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala P. Rivera 10.1007/s41748-022-00333-x
588. On the value of hydrochemical data for the interpretation of flow and transport processes in the Baget karst system, France B. Richieri et al. 10.1007/s10040-024-02801-2
589. Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model J. Sanchez Lozano et al. 10.1016/j.envsoft.2024.106235
590. The impact of evaporation fractionation on the inverse estimation of soil hydraulic and isotope transport parameters T. Zhou et al. 10.1016/j.jhydrol.2022.128100
591. Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble A. Zarrin & A. Dadashi-Roudbari 10.1007/s00704-021-03568-2
592. Beyond a fixed number: Investigating uncertainty in popular evaluation metrics of ensemble flood modeling using bootstrapping analysis T. Huang & V. Merwade 10.1111/jfr3.12982
593. Characterizing extreme values of precipitation at very high resolution: An experiment over twenty European cities A. Reder et al. 10.1016/j.wace.2022.100407
594. When is a hydrological model sufficiently calibrated to depict flow preferences of riverine species? J. Kiesel et al. 10.1002/eco.2193
595. Prediction of Sea Level with Vertical Land Movement Correction Using Deep Learning N. Raj 10.3390/math10234533
596. Evaluating regional climate change during 2021–2080 for Iran and neighboring countries (a comparative analysis of projections and reanalysis data) H. Dehban et al. 10.1007/s00704-025-05381-7
597. Coupling of a subsurface drainage model with a soil reservoir model to simulate drainage discharge and drain flow start H. Henine et al. 10.1016/j.agwat.2021.107318
598. Modeling of Future Streamflow Hazards in Interior Alaska River Systems and Implications for Applied Planning A. Bennett et al. 10.3390/w16141949
599. Integrating Convolutional Attention and Encoder–Decoder Long Short-Term Memory for Enhanced Soil Moisture Prediction J. Han et al. 10.3390/w16233481
600. Inferring Permafrost Active Layer Thermal Properties From Numerical Model Optimization J. de Bruin et al. 10.1029/2021GL093306
601. Quantification of global Digital Elevation Model (DEM) – A case study of the newly released NASADEM for a river basin in Central Vietnam T. Tran et al. 10.1016/j.ejrh.2022.101282
602. Rapid Vegetation Growth due to Shifts in Climate from Slow to Sustained Warming over Terrestrial Ecosystems in China from 1980 to 2018 Y. Zhang et al. 10.3390/rs15153707
603. Benchmarking hydrological models for an uncertain future K. Beven 10.1002/hyp.14882
604. Sensitivity of surface water and groundwater contributions to streamflow in a tropical glacierized basin under climate change scenarios C. Aubry-Wake et al. 10.1088/1748-9326/ad7c68
605. Hydrological processes in a watershed on the transition from Amazon to Cerrado in Brazil E. de Oliveira Serrão et al. 10.1016/j.jsames.2023.104507
606. Integrated finite element analysis and machine learning approach for propagation pressure prediction in hybrid Steel-CFRP subsea pipelines M. Alrsai et al. 10.1016/j.oceaneng.2024.118808
607. Improving the representation of groundwater processes in a large-scale water resources model H. Baron et al. 10.1080/02626667.2023.2208755
608. A multiple hydrograph separation technique for identifying hydrological model structures and an interpretation of dominant process controls on flow duration curves C. Leong & Y. Yokoo 10.1002/hyp.14569
609. Historical predictability of rainfall erosivity: a reconstruction for monitoring extremes over Northern Italy (1500–2019) N. Diodato et al. 10.1038/s41612-020-00144-9
610. Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach Q. Yu et al. 10.5194/hess-28-2107-2024
611. Evaluation of Runoff Simulation Using the Global BROOK90-R Model for Three Sub-Basins in Türkiye M. Ulker & M. Buyukyildiz 10.3390/su15065103
612. Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi‐Basin Modeling and Remote Sensing Imagery T. Du et al. 10.1029/2021WR031191
613. An assessment of statistical interpolation methods suited for gridded rainfall datasets Y. Liu et al. 10.1002/joc.7389
614. Modelling surface water dynamics in an Amazonian sub-basin: impacts of hydraulic geometry refinement C. Coelho et al. 10.1080/02626667.2021.1912756
615. Hydrology and hydrological extremes under climate change scenarios in the Bosque watershed, North-Central Texas, USA G. Tefera & R. Ray 10.1007/s11356-023-27477-1
616. Multicriteria analysis on rock moisture and streamflow in a rainfall‐runoff model improves accuracy of model results P. La Follette et al. 10.1002/hyp.14536
617. Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset D. Ruelland 10.1016/j.jhydrol.2024.130820
618. A deep learning-based hybrid model of global terrestrial evaporation A. Koppa et al. 10.1038/s41467-022-29543-7
619. Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran M. Akbarian et al. 10.1016/j.jhydrol.2023.129480
620. Assessing current and future available resources to supply urban water demands using a high-resolution SWAT model coupled with recurrent neural networks and validated through the SIMPA model in karstic Mediterranean environments A. Jodar-Abellan et al. 10.1007/s11356-024-34404-5
621. Climate-based prediction of carbon fluxes from deadwood in Australia E. Duan et al. 10.5194/bg-21-3321-2024
622. Reservoir operation impacts on streamflow and sediment dynamics in the transboundary river basin, Vietnam T. Bui et al. 10.1002/hyp.14994
623. Increases in the Amounts of Agricultural Surfaces and Their Impact on the Sustainability of Groundwater Resources in North-Central Chile R. Pizarro et al. 10.3390/su16177570
624. LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al. 10.5194/essd-13-4529-2021
625. Modeling the water-energy-food-environment nexus and transboundary cooperation opportunity in the Brahmaputra River Basin J. Wang et al. 10.1016/j.ejrh.2023.101497
626. Comprehensive accuracy assessment of long-term geostationary SEVIRI-MSG evapotranspiration estimates across Europe B. Bayat et al. 10.1016/j.rse.2023.113875
627. CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. 10.5194/essd-16-1811-2024
628. Incorporating experimentally derived streamflow contributions into model parameterization to improve discharge prediction A. Hartmann et al. 10.5194/hess-27-1325-2023
629. Evaluation of Long-Term Radar-Derived Precipitation for Water Balance Estimates: A Case Study for Multiple Catchments in Saxony, Germany T. Luong et al. 10.3390/hydrology9110204
630. Groundwater level simulation and forecasting using interior search algorithm-least square support vector regression (ISA-LSSVR) M. Moravej et al. 10.1016/j.gsd.2020.100447
631. HydroPy (v1.0): a new global hydrology model written in Python T. Stacke & S. Hagemann 10.5194/gmd-14-7795-2021
632. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues 10.1016/j.jhydrol.2021.126674
633. Joint inversion of groundwater flow, heat, and solute state variables: a multipurpose approach for characterization and forecast of karst systems A. Kavousi et al. 10.1007/s10040-023-02631-8
634. DEVELOPMENT OF METHODOLOGY FOR INTRODUCING SURVEYED RIVER CROSS-SECTIONS INTO NATIONWIDE DISTRIBUTED HYDROLOGICAL MODEL THROUGHOUT JAPAN, AND ITS EFFECT ON WATER LEVEL PREDICTION ACCURACY M. YAMADA et al. 10.2208/jscejhe.78.1_7
635. On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. 10.5194/hess-25-5805-2021
636. The role of climate conditions and groundwater on baseflow separation in Urmia Lake Basin, Iran R. Narimani et al. 10.1016/j.ejrh.2023.101383
637. Long-term patterns and changes of unglaciated High Arctic stream thermal regime M. Majerska et al. 10.1016/j.scitotenv.2024.171298
638. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset G. Ayzel & M. Heistermann 10.1016/j.cageo.2021.104708
639. Building Synthetic Bathymetries for Unsurveyed Reservoirs: Hydrologically Conditioned Cubic Spline Interpolation C. Bastidas Pacheco & D. Rivas 10.1061/JHYEFF.HEENG-5885
640. opseestools: A Python library to streamline OpenSeesPy workflows O. Arroyo et al. 10.1016/j.softx.2024.101832
641. How beneficial are seasonal climate forecasts for climate risk management? An appraisal for crop production in Tanzania J. Joseph et al. 10.1016/j.crm.2024.100686
642. An investment behavioral modeling framework for advancing power system transformation toward renewable energy integration F. Hung et al. 10.1016/j.egycc.2024.100127
643. The Abuse of Popular Performance Metrics in Hydrologic Modeling M. Clark et al. 10.1029/2020WR029001
644. Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I’s Effort in Water Resources Disaster Mitigation R. Muttaqin & A. Nugrahany 10.1088/1755-1315/1343/1/012013
645. A Combined Stochastic–Analytical Method for the Assessment of Climate Change Impact on Spring Discharge A. Kovács & Z. Stevanović 10.3390/w15040629
646. Twenty years of change: Land and water resources in the Chindwin catchment, Myanmar between 1999 and 2019 A. McGinn et al. 10.1016/j.scitotenv.2021.148766
647. An optimization approach for managing environmental impacts of generating hydropower on fish biodiversity M. Sedighkia & A. Abdoli 10.1016/j.renene.2023.119283
648. Simulating event-based pesticide transport with runoff and erosion; OpenLISEM-pesticide v.1 M. Commelin et al. 10.1016/j.envsoft.2024.105960
649. Short-Term Wind Power Prediction Based on LightGBM and Meteorological Reanalysis S. Liao et al. 10.3390/en15176287
650. A signal-processing-based interpretation of the Nash–Sutcliffe efficiency L. Duc & Y. Sawada 10.5194/hess-27-1827-2023
651. Predictive Modelling of Statistical Downscaling Based on Hybrid Machine Learning Model for Daily Rainfall in East-Coast Peninsular Malaysia N. Sulaiman et al. 10.3390/sym14050927
652. IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021) F. Avanzi et al. 10.5194/essd-15-639-2023
653. A novel explainable PSO-XGBoost model for regional flood frequency analysis at a national scale: Exploring spatial heterogeneity in flood drivers Y. Kanani-Sadat et al. 10.1016/j.jhydrol.2024.131493
654. Comparing and contrasting the performance of high-resolution precipitation products via error decomposition and triple collocation: An application to different climate classes of the central Iran A. Ghomlaghi et al. 10.1016/j.jhydrol.2022.128298
655. Discretization approach for large-scale sediment modeling: calibration strategies based on hydro-sediment variability at a range of spatial scales R. Rossoni & F. Fan 10.1590/2318-0331.282320220088
656. Evaluation of Satellite-Based Air Temperature Estimates at Eight Diverse Sites in Africa D. Parsons et al. 10.3390/cli10070098
657. Optimization of the SWAT+ model to adequately predict different segments of a managed streamflow hydrograph T. Tigabu et al. 10.1080/02626667.2024.2364714
658. Empirical modelling of snow cover duration patterns in complex terrains of Italy N. Diodato et al. 10.1007/s00704-021-03867-8
659. The Impact of Sandbars on Bank Protection Structures in Low-Land Reaches: Case of Ganges and Brahmaputra-Jamuna . Shampa et al. 10.3390/w16172523
660. Coupling wavelet transform and artificial neural network for forecasting estuarine salinity F. Zhou et al. 10.1016/j.jhydrol.2020.125127
661. Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures A. Gupta et al. 10.1016/j.jhydrol.2024.131774
662. A comparative analysis of national water model versions 2.1 and 3.0 reveals advances and challenges in streamflow predictions during storm events S. Timilsina & P. Passalacqua 10.1016/j.ejrh.2025.102196
663. Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States E. Towler et al. 10.5194/hess-27-1809-2023
664. Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning S. Jiang et al. 10.1029/2020GL088229
665. Quality Assessment of Small Urban Catchments Stormwater Models: A New Approach Using Old Metrics L. David & T. Mota 10.3390/hydrology9050087
666. Combining traditional hydrological models and machine learning for streamflow prediction A. Marcos Junior et al. 10.1590/2318-0331.292420230105
667. Towards an Indian land data assimilation system (ILDAS): A coupled hydrologic-hydraulic system for water balance assessments B. Magotra et al. 10.1016/j.jhydrol.2023.130604
668. Influence of Data Length on the Determination of Data Adjustment Parameters in Conceptual Hydrological Modeling: A Case Study Using the Xinanjiang Model T. Zin & M. Lu 10.3390/w14193012
669. Remote sensing and big data: Google Earth Engine data to assist calibration processes in hydro-sediment modeling on large scales R. Rossoni et al. 10.1016/j.rsase.2024.101352
670. Applying Data-Driven Modeling for Streamflow Prediction in Semi-Arid Watersheds: A Comparative Evaluation of Machine Learning and Deep Learning Methodologies M. Sarıgöl et al. 10.1007/s00024-024-03607-9
671. Markov chain random field kriging for estimating extreme precipitation at unevenly distributed sites M. Lee & Y. Chen 10.1016/j.jhydrol.2022.128591
672. OpenForecast: An Assessment of the Operational Run in 2020–2021 G. Ayzel & D. Abramov 10.3390/geosciences12020067
673. Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. 10.1016/j.jhydrol.2024.130960
674. Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso R. Yonaba et al. 10.1080/10106049.2024.2391956
675. Soil–vegetation–water interactions controlling solute flow and chemical weathering in volcanic ash soils of the high Andes S. Páez-Bimos et al. 10.5194/hess-27-1507-2023
676. Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. 10.5194/hess-28-3133-2024
677. Comparing Streamflow Depletion Estimation Approaches in a Heavily Stressed, Conjunctively Managed Aquifer S. Zipper et al. 10.1029/2020WR027591
678. Nonstationary streamflow effects on backwater flood management of the Atchafalaya Basin, USA R. Miller 10.1016/j.jenvman.2022.114726
679. DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States P. Ghaneei & H. Moradkhani 10.1038/s41597-025-04389-y
680. Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study X. Zheng et al. 10.5194/hess-29-627-2025
681. Identifying major drivers of daily streamflow from large-scale atmospheric circulation with machine learning J. Hagen et al. 10.1016/j.jhydrol.2021.126086
682. Investigating uncertainties in human adaptation and their impacts on water scarcity in the Colorado river Basin, United States F. Hung et al. 10.1016/j.jhydrol.2022.128015
683. Enhancing the representation of water management in global hydrological models G. Abeshu et al. 10.5194/gmd-16-5449-2023
684. Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements M. Li et al. 10.1016/j.jhydrol.2023.130425
685. Enhancing hydrological modeling of ungauged watersheds through machine learning and physical similarity-based regionalization of calibration parameters A. Bawa et al. 10.1016/j.envsoft.2025.106335
686. Pervasive changes in stream intermittency across the United States S. Zipper et al. 10.1088/1748-9326/ac14ec
687. Projection of drought-flood abrupt alternation in a humid subtropical region under changing climate R. Wang et al. 10.1016/j.jhydrol.2023.129875
688. PESTIPOND: A descriptive model of pesticide fate in artificial ponds: II. Model application and evaluation A. Bahi et al. 10.1016/j.ecolmodel.2023.110472
689. Improved Estimators of Model Performance Efficiency for Skewed Hydrologic Data J. Lamontagne et al. 10.1029/2020WR027101
690. Projecting spatiotemporal changes of precipitation and temperature in Iraq for different shared socioeconomic pathways with selected Coupled Model Intercomparison Project Phase 6 S. Salman et al. 10.1002/joc.7794
691. Projected changes in thermal bioclimatic indicators over the Middle East and North Africa under Paris climate agreement M. Hamed et al. 10.1007/s00477-022-02275-2
692. Streamflow modeling in the Colombian Andes: insights from watersheds with diverse physical properties and climate patterns M. Alvarez & J. Barco 10.1080/23249676.2024.2443743
693. Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis A. Ghumman et al. 10.1007/s12517-020-05881-y
694. Toward robust pattern similarity metric for distributed model evaluation E. Yorulmaz et al. 10.1007/s00477-024-02790-4
695. Exploring the Real-Time WRF Forecast Skill for Four Tropical Storms, Isaias, Henri, Elsa and Irene, as They Impacted the Northeast United States U. Khaira & M. Astitha 10.3390/rs15133219
696. Projection of droughts in Amu river basin for shared socioeconomic pathways CMIP6 O. Salehie et al. 10.1007/s00704-022-04097-2
697. Beyond the ordinary metrics on the evaluation of historical Euro-CORDEX simulations over Türkiye: the mutual information approach S. Vazifehkhah et al. 10.1007/s00704-023-04492-3
698. Effect of Using Multi-Year Land Use Land Cover and Monthly LAI Inputs on the Calibration of a Distributed Hydrologic Model I. Busari et al. 10.3390/w13111538
699. Remote Sensing-Based Extension of GRDC Discharge Time Series - A Monthly Product with Uncertainty Estimates O. Elmi et al. 10.1038/s41597-024-03078-6
700. Toward representing the subsurface nitrate legacy through a coupled StorAge selection function and hydrological model (SWAT-SAS) W. Li et al. 10.1016/j.jhydrol.2024.131386
701. Seasonal variations in soil–plant interactions in contrasting urban green spaces: Insights from water stable isotopes C. Marx et al. 10.1016/j.jhydrol.2022.127998
702. Projection of temperature extremes of Egypt using CMIP6 GCMs under multiple shared socioeconomic pathways M. Hamed et al. 10.1007/s11356-022-24985-4
703. Determining the spatial contributions of land use changes on the streamflow and sediment transport regimes: a case study of the Gorganroud watershed in Iran M. Khoie et al. 10.1007/s11356-023-25478-8
704. Towards the hydrological effects of land use change in karst area, a case study in Lijiang River Basin, China W. Li et al. 10.1016/j.jhydrol.2024.130629