689 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
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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
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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
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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. 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
34. 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
35. Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
36. 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
37. 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
38. 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
39. The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
40. Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part I: Model Development) S. Marahatta et al. 10.3390/w13111546
41. 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
42. 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
43. 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
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46. Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region G. Ghimire et al. 10.3390/forecast2030013
47. Hybrid hydrological modeling for large alpine basins: a semi-distributed approach B. Li et al. 10.5194/hess-28-4521-2024
48. A Comparative Assessment of Hydrological Models in the Upper Cauvery Catchment R. Horan et al. 10.3390/w13020151
49. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al. 10.5194/hess-25-2187-2021
50. 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
51. 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
52. 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
53. Evaluating climate change scenarios in the white volta basin: A statistical bias-correction approach J. Mensah et al. 10.1016/j.pce.2024.103584
54. 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
55. 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
56. Coupled Model for Assessing the Present and Future Watershed Vulnerabilities to Climate Change Impacts A. Martínez et al. 10.3390/w15040711
57. 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
58. Coherent Streamflow Variability in Monsoon Asia Over the Past Eight Centuries—Links to Oceanic Drivers H. Nguyen et al. 10.1029/2020WR027883
59. 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
60. Using high level validation to increase lake ecosystem model reliability S. Regev et al. 10.1016/j.envsoft.2023.105637
61. 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
62. 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
63. Three-Dimensional Simulations of Wind Effects on Green Island Wake T. Hou et al. 10.3390/w12113039
64. 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
65. 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
66. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations M. Querales et al. 10.1016/j.asoc.2022.108535
67. Stormwater Bioretention Cells Are Not an Effective Treatment for Persistent and Mobile Organic Compounds (PMOCs) T. Rodgers et al. 10.1021/acs.est.1c07555
68. 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
69. 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
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71. 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
72. 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
73. 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
74. Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al. 10.1002/joc.6704
75. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. 10.5194/hess-28-3695-2024
76. Importance of Detailed Soil Information for Hydrological Modelling in an Urbanized Environment J. van Tol et al. 10.3390/hydrology7020034
77. 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
78. Quantification of climate change sensitivity of shallow and deep groundwater in Denmark I. Seidenfaden et al. 10.1016/j.ejrh.2022.101100
79. 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
80. Integrating endocrine-related health effects into comparative human toxicity characterization Y. Emara et al. 10.1016/j.scitotenv.2020.143874
81. Laboratory and Physical Prototype Tests for the Investigation of Hydraulic Hysteresis of Pyroclastic Soils M. Pirone et al. 10.3390/geosciences10080320
82. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. 10.3390/w16040530
83. 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
84. 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
85. Buckle propagation failure of subsea pipelines; experimental, analytical, and numerical simulations M. Alrsai et al. 10.1080/15397734.2024.2382838
86. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
87. 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
88. 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
89. Spatiotemporal Analysis on the Teleconnection of ENSO and IOD to the Stream Flow Regimes in Java, Indonesia A. Nugroho et al. 10.3390/w14020168
90. Data-driven modeling of municipal water system responses to hydroclimate extremes R. Johnson et al. 10.2166/hydro.2023.170
91. 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
92. Discerning Watershed Response to Hydroclimatic Extremes with a Deep Convolutional Residual Regressive Neural Network A. Larson et al. 10.3390/hydrology10060116
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94. 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
95. 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
96. Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
97. Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
98. Uncertainty sources in flood projections over contrasting hydrometeorological regimes M. Castaneda-Gonzalez et al. 10.1080/02626667.2022.2137415
99. Guidance for parameterizing post‐fire hydrologic models with in situ infiltration measurements T. Liu et al. 10.1002/esp.5633
100. Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa) C. Zouré et al. 10.3390/land12112017
101. Pros and cons of various efficiency criteria for hydrological model performance evaluation C. Onyutha 10.5194/piahs-385-181-2024
102. 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
103. Catchment Attributes Influencing Performance of Global Streamflow Reanalysis X. Ding 10.3390/w16243582
104. Dynamics of streamflow permanence in a headwater network: Insights from catchment-scale model simulations D. Mahoney et al. 10.1016/j.jhydrol.2023.129422
105. 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
106. The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
107. Evaluation of Three Gridded Precipitation Products to Quantify Water Inputs over Complex Mountainous Terrain of Western China L. Zhang et al. 10.3390/rs13193795
108. A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al. 10.1016/j.jhydrol.2022.128481
109. Which Rainfall Errors Can Hydrologic Models Handle? Implications for Using Satellite‐Derived Products in Sparsely Gauged Catchments C. Stephens et al. 10.1029/2020WR029331
110. 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
111. Climate change impact on streamflow and suspended sediment load in the flood-prone river basin R. Ranjan & A. Mishra 10.2166/wcc.2023.037
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113. 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
114. 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
115. 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
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117. 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
118. 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
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120. Snow-detonated floods: Assessment of the U.S. midwest march 2019 event N. Velásquez et al. 10.1016/j.ejrh.2023.101387
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122. Hindcasting and Forecasting Total Suspended Sediment Concentrations Using a NARX Neural Network V. Alarcon 10.3390/su13010363
123. 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
124. Modeling of phosphorus loss from field to watershed: A review Z. Wang et al. 10.1002/jeq2.20109
125. 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
126. 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
127. Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site N. Diodato et al. 10.1088/2752-5295/acffe9
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129. 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
130. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al. 10.1080/02626667.2023.2251968
131. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
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133. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
134. 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
135. 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
136. 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
137. 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
138. Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia M. Alexopoulos et al. 10.5194/hess-27-2559-2023
139. Innovative water management using  abandoned quarries for urban water supply and flood mitigation M. RinishaKartheeshwari et al. 10.1007/s10668-024-04716-0
140. 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
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144. 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
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146. 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
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148. 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
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150. Modeling the Water Systems of the Western US to Support Climate‐Resilient Electricity System Planning D. Yates et al. 10.1029/2022EF003220
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155. 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
156. 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
157. Estimating the parameters of a monthly hydrological model using hydrological signatures A. Matos et al. 10.1590/2318-0331.292420230121
158. The Modified Soil Moisture Constraint Scheme Significantly Enhances the Evapotranspiration Simulation Accuracy of the MOD16 Model M. Guo et al. 10.3390/su151612460
159. Hybrid neuro fuzzy inference systems for simulating catchment sediment yield M. Sedighkia et al. 10.1016/j.ijsrc.2024.02.004
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162. 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
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164. Global hydrological models continue to overestimate river discharge S. Heinicke et al. 10.1088/1748-9326/ad52b0
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166. The Revised Curve Number Rainfall–Runoff Methodology for an Improved Runoff Prediction K. Lee et al. 10.3390/w15030491
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170. Controls of Variability in the Laurentian Great Lakes Terrestrial Water Budget S. Minallah et al. 10.1029/2022WR033759
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173. 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
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361. 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
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364. 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
365. 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
366. 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
367. Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data M. Pleasants et al. 10.1016/j.jhydrol.2024.132376
368. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
369. Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. 10.1016/j.iswcr.2023.06.004
370. Nitrogen legacies in anthropogenic landscapes: a case study in the Mondego Basin in Portugal J. Marques et al. 10.1007/s11356-021-16725-x
371. 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
372. Groundwater level monitoring using exploited domestic wells: outlier removal and imputation of missing values A. Abi et al. 10.1007/s10040-023-02740-4
373. 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
374. 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
375. Characteristics of discharge of skew side sluice gate L. Rentachintala 10.1080/23249676.2024.2401442
376. Performance Evaluation of Satellite-Based Rainfall Products over Nigeria K. Ogbu et al. 10.3390/cli8100103
377. 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
378. 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
379. Spatio-temporal trends of hydrological components: the case of the Tafna basin (northwestern Algeria) A. Mami et al. 10.2166/wcc.2021.242
380. 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
381. 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
382. Microwave-based soil moisture improves estimates of vegetation response to drought in China J. Qiu et al. 10.1016/j.scitotenv.2022.157535
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384. 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
385. 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
386. Study on Urban Rainfall–Runoff Model under the Background of Inter-Basin Water Transfer J. Yang et al. 10.3390/w14172660
387. 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
388. Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony T. Luong et al. 10.3390/hydrology7040084
389. Machine-Learning-Based Precipitation Reconstructions: A Study on Slovenia’s Sava River Basin A. Ramírez Molina et al. 10.3390/hydrology10110207
390. Remotely Sensing River Greenhouse Gas Exchange Velocity Using the SWOT Satellite C. Brinkerhoff et al. 10.1029/2022GB007419
391. 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
392. CCAM: China Catchment Attributes and Meteorology dataset Z. Hao et al. 10.5194/essd-13-5591-2021
393. A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm J. Brombacher et al. 10.1016/j.agwat.2022.107602
394. Groundwater model diagnostic calibration and uncertainty analysis using information theory M. Khorshidi et al. 10.1080/02626667.2024.2347974
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396. 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
397. Evaluation of gridded precipitation data in water availability modeling in CONUS F. Wolkeba & M. Mekonnen 10.1016/j.jhydrol.2023.130575
398. 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
399. 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
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407. 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
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409. 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
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412. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
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414. 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
415. 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
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420. 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
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422. 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
423. Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
424. 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
425. Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment Y. Zhou et al. 10.1016/j.jhydrol.2024.131888
426. 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
427. 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
428. Extracting operation behaviors of cascade reservoirs using physics-guided long-short term memory networks Y. Zheng et al. 10.1016/j.ejrh.2022.101034
429. 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
430. Imputation of missing values in environmental time series by D-vine copulas A. Chapon et al. 10.1016/j.wace.2023.100591
431. A parameter parsimonious approach for catchment scale urban hydrology – Which processes are important? T. Skaugen et al. 10.1016/j.hydroa.2020.100060
432. 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
433. 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
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435. Evaluation of Gridded Precipitation Data for Hydrologic Modeling in North-Central Texas R. Ray et al. 10.3390/rs14163860
436. 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
437. 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
438. Water-Quality Data Imputation with a High Percentage of Missing Values: A Machine Learning Approach R. Rodríguez et al. 10.3390/su13116318
439. 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
440. 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
441. 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
442. Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies B. Duvvuri & E. Beighley 10.3390/rs15184516
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444. Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. 10.1016/j.jhydrol.2024.132238
445. 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
446. Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions M. Castaneda-Gonzalez et al. 10.1007/s10584-023-03643-9
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448. GloFAS-ERA5 operational global river discharge reanalysis 1979–present S. Harrigan et al. 10.5194/essd-12-2043-2020
449. 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
450. 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
451. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al. 10.3390/w13030388
452. 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
453. Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. 10.3390/rs14153541
454. 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
455. 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
456. Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference G. Cheng et al. 10.1016/j.jhydrol.2022.128803
457. 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
458. Industrial water management and sustainability: Development of SIWP tool for textile industries of Bangladesh M. Haque et al. 10.1016/j.wri.2021.100145
459. Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations G. Wu et al. 10.1029/2021EF002542
460. Spatiotemporal variations in water sources and mixing spots in a riparian zone G. Nogueira et al. 10.5194/hess-26-1883-2022
461. 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
462. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
463. Improving the performance of rainfall-runoff models using the gene expression programming approach H. Esmaeili-Gisavandani et al. 10.2166/wcc.2021.064
464. 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
465. Spatial rainfall estimation applying machine learning techniques in a semi-arid basin J. Rodríguez-Carrillo et al. 10.2166/hydro.2024.253
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467. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
468. Setting expectations for hydrologic model performance with an ensemble of simple benchmarks W. Knoben 10.1002/hyp.15288
469. 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
470. Long-term inflow forecast using meteorological data based on long short-term memory neural networks H. Zhao et al. 10.2166/hydro.2024.196
471. INTRAGRO: A machine learning approach to predict future growth of trees under climate change S. Aryal et al. 10.1002/ece3.10626
472. HOST: Harmonic oscillator seasonal-trend model for analyzing the reoccurring nature of extreme events K. Raczyński & J. Dyer 10.1016/j.softx.2024.101771
473. 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
474. Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting K. Wai et al. 10.1007/s00521-024-09698-8
475. Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble S. Khansalari & A. Mohammadi 10.1007/s10584-024-03771-w
476. SOL40: Forty Years of Simulations under Climate and Land Use Change A. Ceppi et al. 10.3390/w14060837
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478. Impact of Future Climate Scenarios and Bias Correction Methods on the Achibueno River Basin H. Moya et al. 10.3390/w16081138
479. Delivering the latest global water resource simulation results to the public J. Boulange et al. 10.1016/j.cliser.2023.100386
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481. The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models I. Trebs et al. 10.1016/j.rse.2021.112602
482. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
483. 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
484. Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia M. Tan et al. 10.3390/w13223158
485. 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
486. 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
487. Impacts of Soil Information on Process-Based Hydrological Modelling in the Upper Goukou Catchment, South Africa E. Smit & J. van Tol 10.3390/w14030407
488. 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
489. A dynamic connectivity metric for complex river wetlands C. Nguyen et al. 10.1016/j.jhydrol.2021.127163
490. An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks B. Nguyen et al. 10.1007/s44196-022-00156-8
491. 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
492. Enhancing hydrological extremes prediction accuracy: Integrating diverse loss functions in Transformer models X. Li et al. 10.1016/j.envsoft.2024.106042
493. A first attempt to model global hydrology at hyper-resolution B. van Jaarsveld et al. 10.5194/esd-16-29-2025
494. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
495. Fusion-based approach for hydrometeorological drought modeling: a regional investigation for Iran F. Moghaddasi et al. 10.1007/s11356-024-32598-2
496. 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
497. 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
498. Comparison of single-site, multi-site and multi-variable SWAT calibration strategies A. Franco et al. 10.1080/02626667.2020.1810252
499. 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
500. Temperature Characteristics Modeling for GaN PA Based on PSO-ELM Q. Lin & M. Wang 10.3390/mi15081008
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502. 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
503. 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
504. 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
505. Calibration for Improving the Medium-Range Soil Forecast over Central Tibet: Effects of Objective Metrics’ Diversity Y. Guo et al. 10.3390/atmos15091107
506. 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
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508. Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods M. Ohmer et al. 10.5194/hess-26-4033-2022
509. 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
510. 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
511. Cost, market, and policy constraints on mitigating climate change through afforestation in China X. Zhang et al. 10.1016/j.envint.2024.108652
512. 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
513. 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
514. Cyber-enabled autocalibration of hydrologic models to support Open Science A. Rajib et al. 10.1016/j.envsoft.2022.105561
515. 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
516. Dependence of rainfall-runoff model performance on calibration conditions under changing climatic conditions A. Jahanshahi et al. 10.1080/02626667.2024.2441325
517. 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
518. 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
519. 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
520. Investigation of Data-Driven Rating Curve (DDRC) Approach B. Bhandari et al. 10.3390/w15030604
521. 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
522. 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
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548. An ensemble-based projection of future hydro-climatic extremes in Iran A. Jahanshahi et al. 10.1016/j.jhydrol.2024.131892
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