722 citations as recorded by crossref.

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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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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
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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 VIC models 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. Selecting a conceptual hydrological model using Bayes' factors computed with replica-exchange Hamiltonian Monte Carlo and thermodynamic integration D. Mingo et al. 10.5194/gmd-18-1709-2025
38. 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
39. 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
40. 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
41. The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
42. Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part I: Model Development) S. Marahatta et al. 10.3390/w13111546
43. 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
44. 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
45. 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
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48. Streamflow Forecasting without Models W. Krajewski et al. 10.1175/JHM-D-19-0292.1
49. Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region G. Ghimire et al. 10.3390/forecast2030013
50. Hybrid hydrological modeling for large alpine basins: a semi-distributed approach B. Li et al. 10.5194/hess-28-4521-2024
51. A Comparative Assessment of Hydrological Models in the Upper Cauvery Catchment R. Horan et al. 10.3390/w13020151
52. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al. 10.5194/hess-25-2187-2021
53. 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
54. 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
55. 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
56. Evaluating climate change scenarios in the white volta basin: A statistical bias-correction approach J. Mensah et al. 10.1016/j.pce.2024.103584
57. 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
58. 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
59. Coupled Model for Assessing the Present and Future Watershed Vulnerabilities to Climate Change Impacts A. Martínez et al. 10.3390/w15040711
60. 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
61. Coherent Streamflow Variability in Monsoon Asia Over the Past Eight Centuries—Links to Oceanic Drivers H. Nguyen et al. 10.1029/2020WR027883
62. 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
63. Using high level validation to increase lake ecosystem model reliability S. Regev et al. 10.1016/j.envsoft.2023.105637
64. 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
65. 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
66. Three-Dimensional Simulations of Wind Effects on Green Island Wake T. Hou et al. 10.3390/w12113039
67. 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
68. 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
69. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations M. Querales et al. 10.1016/j.asoc.2022.108535
70. Stormwater Bioretention Cells Are Not an Effective Treatment for Persistent and Mobile Organic Compounds (PMOCs) T. Rodgers et al. 10.1021/acs.est.1c07555
71. 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
72. 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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75. 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
76. 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
77. Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al. 10.1002/joc.6704
78. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. 10.5194/hess-28-3695-2024
79. Importance of Detailed Soil Information for Hydrological Modelling in an Urbanized Environment J. van Tol et al. 10.3390/hydrology7020034
80. 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
81. Quantification of climate change sensitivity of shallow and deep groundwater in Denmark I. Seidenfaden et al. 10.1016/j.ejrh.2022.101100
82. 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
83. Integrating endocrine-related health effects into comparative human toxicity characterization Y. Emara et al. 10.1016/j.scitotenv.2020.143874
84. Laboratory and Physical Prototype Tests for the Investigation of Hydraulic Hysteresis of Pyroclastic Soils M. Pirone et al. 10.3390/geosciences10080320
85. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. 10.3390/w16040530
86. 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
87. 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
88. Buckle propagation failure of subsea pipelines; experimental, analytical, and numerical simulations M. Alrsai et al. 10.1080/15397734.2024.2382838
89. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
90. 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
91. 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
92. Spatiotemporal Analysis on the Teleconnection of ENSO and IOD to the Stream Flow Regimes in Java, Indonesia A. Nugroho et al. 10.3390/w14020168
93. Data-driven modeling of municipal water system responses to hydroclimate extremes R. Johnson et al. 10.2166/hydro.2023.170
94. 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
95. Discerning Watershed Response to Hydroclimatic Extremes with a Deep Convolutional Residual Regressive Neural Network A. Larson et al. 10.3390/hydrology10060116
96. 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
97. 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
98. 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
99. Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
100. Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
101. Uncertainty sources in flood projections over contrasting hydrometeorological regimes M. Castaneda-Gonzalez et al. 10.1080/02626667.2022.2137415
102. Guidance for parameterizing post‐fire hydrologic models with in situ infiltration measurements T. Liu et al. 10.1002/esp.5633
103. Toward a better understanding of curve number and initial abstraction ratio values from a large sample of watersheds perspective A. Brandão et al. 10.1016/j.jhydrol.2025.132941
104. Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa) C. Zouré et al. 10.3390/land12112017
105. Pros and cons of various efficiency criteria for hydrological model performance evaluation C. Onyutha 10.5194/piahs-385-181-2024
106. 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
107. Catchment Attributes Influencing Performance of Global Streamflow Reanalysis X. Ding 10.3390/w16243582
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109. 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
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111. Evaluation of Three Gridded Precipitation Products to Quantify Water Inputs over Complex Mountainous Terrain of Western China L. Zhang et al. 10.3390/rs13193795
112. A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al. 10.1016/j.jhydrol.2022.128481
113. Which Rainfall Errors Can Hydrologic Models Handle? Implications for Using Satellite‐Derived Products in Sparsely Gauged Catchments C. Stephens et al. 10.1029/2020WR029331
114. Continuous Simulations for Predicting Green Roof Hydrologic Performance for Future Climate Scenarios K. Jabeen et al. 10.3390/hydrology12020041
115. 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
116. 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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118. 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
119. Exploring climate-driven performance of floating photovoltaic systems: Energy production enhancement and evaporation reduction R. Cáceres González et al. 10.1016/j.apenergy.2025.125556
120. 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
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123. 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
124. 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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126. Snow-detonated floods: Assessment of the U.S. midwest march 2019 event N. Velásquez et al. 10.1016/j.ejrh.2023.101387
127. Shifting Hydrological Processes in a Canadian Agroforested Catchment due to a Warmer and Wetter Climate O. Aygün et al. 10.3390/w12030739
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129. 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
130. Modeling of phosphorus loss from field to watershed: A review Z. Wang et al. 10.1002/jeq2.20109
131. 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
132. 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
133. 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
134. Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site N. Diodato et al. 10.1088/2752-5295/acffe9
135. 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
136. 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
137. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al. 10.1080/02626667.2023.2251968
138. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
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140. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
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143. 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
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145. Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia M. Alexopoulos et al. 10.5194/hess-27-2559-2023
146. Innovative water management using  abandoned quarries for urban water supply and flood mitigation M. RinishaKartheeshwari et al. 10.1007/s10668-024-04716-0
147. 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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150. 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
151. 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
152. 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
153. 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
154. 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
155. 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
156. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
157. 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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166. 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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173. The Revised Curve Number Rainfall–Runoff Methodology for an Improved Runoff Prediction K. Lee et al. 10.3390/w15030491
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357. 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
358. 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
359. 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
360. The freshwater discharge into the Adriatic Sea revisited L. Aragão et al. 10.3389/fclim.2024.1368456
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362. Using hydropedological characteristics to improve modelling accuracy in Afromontane catchments R. Harrison et al. 10.1016/j.ejrh.2021.100986
363. A hydropedological approach to simulate streamflow and soil water contents with SWAT+ J. van Tol et al. 10.1002/hyp.14242
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365. 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
366. 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
367. Practice makes the model: A critical review of stormwater green infrastructure modelling practice V. Pons et al. 10.1016/j.watres.2023.119958
368. Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
369. Assessing the Impacts of Climatic and Water Management Scenarios in a Small Mountainous Greek River A. Mentzafou et al. 10.3390/hydrology12010013
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373. 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
374. 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
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376. 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
377. Comparing Frequency-Matched and Natural Data Approaches for Estimating the Curve Number from Rainfall-Runoff Data A. Brandão et al. 10.1061/JHYEFF.HEENG-6400
378. Exploitation of satellite earth observation datasets for hydrologic analysis of large reservoirs in Thailand L. Zeng et al. 10.1016/j.jhydrol.2025.133085
379. 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
380. 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
381. Hydrogeophysical inversion using a physics-based catchment model with hydrological and electromagnetic induction data M. Pleasants et al. 10.1016/j.jhydrol.2024.132376
382. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
383. Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. 10.1016/j.iswcr.2023.06.004
384. Nitrogen legacies in anthropogenic landscapes: a case study in the Mondego Basin in Portugal J. Marques et al. 10.1007/s11356-021-16725-x
385. 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
386. Groundwater level monitoring using exploited domestic wells: outlier removal and imputation of missing values A. Abi et al. 10.1007/s10040-023-02740-4
387. 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
388. 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
389. Characteristics of discharge of skew side sluice gate L. Rentachintala 10.1080/23249676.2024.2401442
390. Performance Evaluation of Satellite-Based Rainfall Products over Nigeria K. Ogbu et al. 10.3390/cli8100103
391. 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
392. 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
393. Spatio-temporal trends of hydrological components: the case of the Tafna basin (northwestern Algeria) A. Mami et al. 10.2166/wcc.2021.242
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396. 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
397. 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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407. CCAM: China Catchment Attributes and Meteorology dataset Z. Hao et al. 10.5194/essd-13-5591-2021
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409. Groundwater model diagnostic calibration and uncertainty analysis using information theory M. Khorshidi et al. 10.1080/02626667.2024.2347974
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411. 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
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413. 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
414. 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
415. 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
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417. 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
418. The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China L. Song et al. 10.3390/rs13234956
419. Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia S. Ghimire et al. 10.1016/j.engappai.2022.104860
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421. What is the near-natural catchment? An application of hydrological signatures assessment H. Xu et al. 10.1016/j.ecolind.2025.113209
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423. 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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426. 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
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429. Harmonic oscillator seasonal trend (HOST) model for hydrological drought pattern identification and analysis K. Raczyński & J. Dyer 10.1016/j.jhydrol.2023.129514
430. 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
431. 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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439. Hydrogeological forecasting of deep-seated landslides dynamics: structure and sensitivity of tank models O. Béjean-Maillard et al. 10.1007/s10346-025-02482-2
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443. 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
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447. Imputation of missing values in environmental time series by D-vine copulas A. Chapon et al. 10.1016/j.wace.2023.100591
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452. Evaluation of Gridded Precipitation Data for Hydrologic Modeling in North-Central Texas R. Ray et al. 10.3390/rs14163860
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455. Water-Quality Data Imputation with a High Percentage of Missing Values: A Machine Learning Approach R. Rodríguez et al. 10.3390/su13116318
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459. Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies B. Duvvuri & E. Beighley 10.3390/rs15184516
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465. GloFAS-ERA5 operational global river discharge reanalysis 1979–present S. Harrigan et al. 10.5194/essd-12-2043-2020
466. 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
467. 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
468. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al. 10.3390/w13030388
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470. Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. 10.3390/rs14153541
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474. Pointwise and Complex Quality Metrics in Atmospheric Modeling: Methods and Approaches V. Rezvov et al. 10.3103/S0027134924702229
475. 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
476. Seasonal patterns and hydrological regulations of root zone storage capacity across United States S. Du et al. 10.1016/j.agrformet.2025.110428
477. Industrial water management and sustainability: Development of SIWP tool for textile industries of Bangladesh M. Haque et al. 10.1016/j.wri.2021.100145
478. Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations G. Wu et al. 10.1029/2021EF002542
479. Spatiotemporal variations in water sources and mixing spots in a riparian zone G. Nogueira et al. 10.5194/hess-26-1883-2022
480. 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
481. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
482. Streamflow prediction using artificial neural networks and soil moisture proxies R. Rouse et al. 10.1017/eds.2024.48
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485. Spatial rainfall estimation applying machine learning techniques in a semi-arid basin J. Rodríguez-Carrillo et al. 10.2166/hydro.2024.253
486. 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
487. 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
488. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
489. Setting expectations for hydrologic model performance with an ensemble of simple benchmarks W. Knoben 10.1002/hyp.15288
490. 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
491. Long-term inflow forecast using meteorological data based on long short-term memory neural networks H. Zhao et al. 10.2166/hydro.2024.196
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494. 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
495. Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting K. Wai et al. 10.1007/s00521-024-09698-8
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497. Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble S. Khansalari & A. Mohammadi 10.1007/s10584-024-03771-w
498. SOL40: Forty Years of Simulations under Climate and Land Use Change A. Ceppi et al. 10.3390/w14060837
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500. Impact of Future Climate Scenarios and Bias Correction Methods on the Achibueno River Basin H. Moya et al. 10.3390/w16081138
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504. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
505. 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
506. Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia M. Tan et al. 10.3390/w13223158
507. 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
508. 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
509. Impacts of Soil Information on Process-Based Hydrological Modelling in the Upper Goukou Catchment, South Africa E. Smit & J. van Tol 10.3390/w14030407
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511. A dynamic connectivity metric for complex river wetlands C. Nguyen et al. 10.1016/j.jhydrol.2021.127163
512. An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks B. Nguyen et al. 10.1007/s44196-022-00156-8
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514. Enhancing hydrological extremes prediction accuracy: Integrating diverse loss functions in Transformer models X. Li et al. 10.1016/j.envsoft.2024.106042
515. A first attempt to model global hydrology at hyper-resolution B. van Jaarsveld et al. 10.5194/esd-16-29-2025
516. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
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518. 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
519. 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
520. Comparison of single-site, multi-site and multi-variable SWAT calibration strategies A. Franco et al. 10.1080/02626667.2020.1810252
521. 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
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