662 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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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
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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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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. 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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45. Streamflow Forecasting without Models W. Krajewski et al. 10.1175/JHM-D-19-0292.1
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. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations M. Querales et al. 10.1016/j.asoc.2022.108535
66. Stormwater Bioretention Cells Are Not an Effective Treatment for Persistent and Mobile Organic Compounds (PMOCs) T. Rodgers et al. 10.1021/acs.est.1c07555
67. 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
68. 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
69. 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
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71. 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
72. 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
73. Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al. 10.1002/joc.6704
74. Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models P. Laluet et al. 10.5194/hess-28-3695-2024
75. Importance of Detailed Soil Information for Hydrological Modelling in an Urbanized Environment J. van Tol et al. 10.3390/hydrology7020034
76. 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
77. Quantification of climate change sensitivity of shallow and deep groundwater in Denmark I. Seidenfaden et al. 10.1016/j.ejrh.2022.101100
78. 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
79. Integrating endocrine-related health effects into comparative human toxicity characterization Y. Emara et al. 10.1016/j.scitotenv.2020.143874
80. Laboratory and Physical Prototype Tests for the Investigation of Hydraulic Hysteresis of Pyroclastic Soils M. Pirone et al. 10.3390/geosciences10080320
81. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. 10.3390/w16040530
82. 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
83. 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
84. Buckle propagation failure of subsea pipelines; experimental, analytical, and numerical simulations M. Alrsai et al. 10.1080/15397734.2024.2382838
85. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
86. 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
87. 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
88. Spatiotemporal Analysis on the Teleconnection of ENSO and IOD to the Stream Flow Regimes in Java, Indonesia A. Nugroho et al. 10.3390/w14020168
89. Data-driven modeling of municipal water system responses to hydroclimate extremes R. Johnson et al. 10.2166/hydro.2023.170
90. 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
91. Discerning Watershed Response to Hydroclimatic Extremes with a Deep Convolutional Residual Regressive Neural Network A. Larson et al. 10.3390/hydrology10060116
92. 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
93. 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
94. 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
95. Hydrological Impact of the New ECMWF Multi-Layer Snow Scheme E. Zsoter et al. 10.3390/atmos13050727
96. Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. 10.1029/2021WR031092
97. Uncertainty sources in flood projections over contrasting hydrometeorological regimes M. Castaneda-Gonzalez et al. 10.1080/02626667.2022.2137415
98. Guidance for parameterizing post‐fire hydrologic models with in situ infiltration measurements T. Liu et al. 10.1002/esp.5633
99. Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa) C. Zouré et al. 10.3390/land12112017
100. Pros and cons of various efficiency criteria for hydrological model performance evaluation C. Onyutha 10.5194/piahs-385-181-2024
101. 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
102. Dynamics of streamflow permanence in a headwater network: Insights from catchment-scale model simulations D. Mahoney et al. 10.1016/j.jhydrol.2023.129422
103. 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
104. The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
105. Evaluation of Three Gridded Precipitation Products to Quantify Water Inputs over Complex Mountainous Terrain of Western China L. Zhang et al. 10.3390/rs13193795
106. A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al. 10.1016/j.jhydrol.2022.128481
107. Which Rainfall Errors Can Hydrologic Models Handle? Implications for Using Satellite‐Derived Products in Sparsely Gauged Catchments C. Stephens et al. 10.1029/2020WR029331
108. 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
109. Climate change impact on streamflow and suspended sediment load in the flood-prone river basin R. Ranjan & A. Mishra 10.2166/wcc.2023.037
110. 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
111. 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
112. 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
113. 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
114. 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
115. 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
116. 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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118. Snow-detonated floods: Assessment of the U.S. midwest march 2019 event N. Velásquez et al. 10.1016/j.ejrh.2023.101387
119. Shifting Hydrological Processes in a Canadian Agroforested Catchment due to a Warmer and Wetter Climate O. Aygün et al. 10.3390/w12030739
120. Hindcasting and Forecasting Total Suspended Sediment Concentrations Using a NARX Neural Network V. Alarcon 10.3390/su13010363
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122. Modeling of phosphorus loss from field to watershed: A review Z. Wang et al. 10.1002/jeq2.20109
123. 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
124. 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
125. Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site N. Diodato et al. 10.1088/2752-5295/acffe9
126. 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
127. 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
128. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al. 10.1080/02626667.2023.2251968
129. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
130. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
131. 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
132. 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
133. 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
134. Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia M. Alexopoulos et al. 10.5194/hess-27-2559-2023
135. Innovative water management using  abandoned quarries for urban water supply and flood mitigation M. RinishaKartheeshwari et al. 10.1007/s10668-024-04716-0
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137. Global streamflow modelling using process-informed machine learning M. Magni et al. 10.2166/hydro.2023.217
138. 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
139. 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
140. 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
141. 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
142. 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
143. 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
144. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
145. Modeling the Water Systems of the Western US to Support Climate‐Resilient Electricity System Planning D. Yates et al. 10.1029/2022EF003220
146. Bioretention Design Modifications Increase the Simulated Capture of Hydrophobic and Hydrophilic Trace Organic Compounds T. Rodgers et al. 10.1021/acs.est.3c10375
147. An ensemble approach to downscale climatological variables via screening of clustered ANNs Z. Razzaghzadeh et al. 10.2166/wcc.2024.255
148. 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
149. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
150. 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
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152. Estimating the parameters of a monthly hydrological model using hydrological signatures A. Matos et al. 10.1590/2318-0331.292420230121
153. The Modified Soil Moisture Constraint Scheme Significantly Enhances the Evapotranspiration Simulation Accuracy of the MOD16 Model M. Guo et al. 10.3390/su151612460
154. Hybrid neuro fuzzy inference systems for simulating catchment sediment yield M. Sedighkia et al. 10.1016/j.ijsrc.2024.02.004
155. Estimating transpiration globally by integrating the Priestley-Taylor model with neural networks M. Hannemann et al. 10.1088/1748-9326/ad8506
156. A Calibration‐Free Groundwater Module for Improving Predictions of Low Flows A. Tashie et al. 10.1029/2021WR030800
157. 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
158. 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
159. Global hydrological models continue to overestimate river discharge S. Heinicke et al. 10.1088/1748-9326/ad52b0
160. 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
161. The Revised Curve Number Rainfall–Runoff Methodology for an Improved Runoff Prediction K. Lee et al. 10.3390/w15030491
162. Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting E. Fijani & K. Khosravi 10.1007/s11269-023-03613-x
163. A Hybrid Machine Learning Model for Modeling Nitrate Concentration in Water Sources A. Mazraeh et al. 10.1007/s11270-023-06745-3
164. Controls of Variability in the Laurentian Great Lakes Terrestrial Water Budget S. Minallah et al. 10.1029/2022WR033759
165. 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
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167. 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
168. 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
169. Assessment of left-censored data treatment methods using stochastic simulation F. Silva & É. Pinto 10.1590/2318-0331.282320230087
170. 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
171. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
172. 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
173. 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
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354. Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. 10.1016/j.iswcr.2023.06.004
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357. Groundwater level monitoring using exploited domestic wells: outlier removal and imputation of missing values A. Abi et al. 10.1007/s10040-023-02740-4
358. 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
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360. Characteristics of discharge of skew side sluice gate L. Rentachintala 10.1080/23249676.2024.2401442
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365. 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
366. Microwave-based soil moisture improves estimates of vegetation response to drought in China J. Qiu et al. 10.1016/j.scitotenv.2022.157535
367. Hydrological ensemble forecasting using a multi-model framework P. Dion et al. 10.1016/j.jhydrol.2021.126537
368. 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
369. 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
370. Study on Urban Rainfall–Runoff Model under the Background of Inter-Basin Water Transfer J. Yang et al. 10.3390/w14172660
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372. Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony T. Luong et al. 10.3390/hydrology7040084
373. Machine-Learning-Based Precipitation Reconstructions: A Study on Slovenia’s Sava River Basin A. Ramírez Molina et al. 10.3390/hydrology10110207
374. Remotely Sensing River Greenhouse Gas Exchange Velocity Using the SWOT Satellite C. Brinkerhoff et al. 10.1029/2022GB007419
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376. CCAM: China Catchment Attributes and Meteorology dataset Z. Hao et al. 10.5194/essd-13-5591-2021
377. A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm J. Brombacher et al. 10.1016/j.agwat.2022.107602
378. Groundwater model diagnostic calibration and uncertainty analysis using information theory M. Khorshidi et al. 10.1080/02626667.2024.2347974
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380. 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
381. Evaluation of gridded precipitation data in water availability modeling in CONUS F. Wolkeba & M. Mekonnen 10.1016/j.jhydrol.2023.130575
382. 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
383. 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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385. 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
386. 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
387. The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China L. Song et al. 10.3390/rs13234956
388. Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia S. Ghimire et al. 10.1016/j.engappai.2022.104860
389. A method for detecting the non-stationarity during high flows under global change Z. Zhang et al. 10.1016/j.scitotenv.2022.158341
390. Examining the impact of hydro-geomorphological features in satellite river width-based discharge estimations M. Adarsh et al. 10.1117/1.JRS.18.024503
391. 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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393. 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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395. 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
396. Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
397. Harmonic oscillator seasonal trend (HOST) model for hydrological drought pattern identification and analysis K. Raczyński & J. Dyer 10.1016/j.jhydrol.2023.129514
398. 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
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405. 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
406. Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
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408. Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment Y. Zhou et al. 10.1016/j.jhydrol.2024.131888
409. 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
410. 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
411. Extracting operation behaviors of cascade reservoirs using physics-guided long-short term memory networks Y. Zheng et al. 10.1016/j.ejrh.2022.101034
412. 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
413. Imputation of missing values in environmental time series by D-vine copulas A. Chapon et al. 10.1016/j.wace.2023.100591
414. A parameter parsimonious approach for catchment scale urban hydrology – Which processes are important? T. Skaugen et al. 10.1016/j.hydroa.2020.100060
415. 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
416. 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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418. Evaluation of Gridded Precipitation Data for Hydrologic Modeling in North-Central Texas R. Ray et al. 10.3390/rs14163860
419. 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
420. 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
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422. 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
423. 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
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425. Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies B. Duvvuri & E. Beighley 10.3390/rs15184516
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427. Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. 10.1016/j.jhydrol.2024.132238
428. 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
429. 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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431. GloFAS-ERA5 operational global river discharge reanalysis 1979–present S. Harrigan et al. 10.5194/essd-12-2043-2020
432. 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
433. 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
434. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al. 10.3390/w13030388
435. 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
436. Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin J. Gehring et al. 10.3390/rs14153541
437. 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
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439. 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
440. Industrial water management and sustainability: Development of SIWP tool for textile industries of Bangladesh M. Haque et al. 10.1016/j.wri.2021.100145
441. Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations G. Wu et al. 10.1029/2021EF002542
442. Spatiotemporal variations in water sources and mixing spots in a riparian zone G. Nogueira et al. 10.5194/hess-26-1883-2022
443. 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
444. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
445. Improving the performance of rainfall-runoff models using the gene expression programming approach H. Esmaeili-Gisavandani et al. 10.2166/wcc.2021.064
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447. 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
448. To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
449. Setting expectations for hydrologic model performance with an ensemble of simple benchmarks W. Knoben 10.1002/hyp.15288
450. 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
451. Long-term inflow forecast using meteorological data based on long short-term memory neural networks H. Zhao et al. 10.2166/hydro.2024.196
452. INTRAGRO: A machine learning approach to predict future growth of trees under climate change S. Aryal et al. 10.1002/ece3.10626
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454. 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
455. Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting K. Wai et al. 10.1007/s00521-024-09698-8
456. Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble S. Khansalari & A. Mohammadi 10.1007/s10584-024-03771-w
457. SOL40: Forty Years of Simulations under Climate and Land Use Change A. Ceppi et al. 10.3390/w14060837
458. 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
459. Impact of Future Climate Scenarios and Bias Correction Methods on the Achibueno River Basin H. Moya et al. 10.3390/w16081138
460. 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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462. The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models I. Trebs et al. 10.1016/j.rse.2021.112602
463. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
464. 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
465. Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia M. Tan et al. 10.3390/w13223158
466. 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
467. 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
468. 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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471. 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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473. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
474. Fusion-based approach for hydrometeorological drought modeling: a regional investigation for Iran F. Moghaddasi et al. 10.1007/s11356-024-32598-2
475. 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
476. 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
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478. 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
479. Temperature Characteristics Modeling for GaN PA Based on PSO-ELM Q. Lin & M. Wang 10.3390/mi15081008
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481. 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
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483. 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
484. Calibration for Improving the Medium-Range Soil Forecast over Central Tibet: Effects of Objective Metrics’ Diversity Y. Guo et al. 10.3390/atmos15091107
485. 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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487. Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods M. Ohmer et al. 10.5194/hess-26-4033-2022
488. 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
489. 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
490. Cost, market, and policy constraints on mitigating climate change through afforestation in China X. Zhang et al. 10.1016/j.envint.2024.108652
491. 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
492. 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
493. Cyber-enabled autocalibration of hydrologic models to support Open Science A. Rajib et al. 10.1016/j.envsoft.2022.105561
494. 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
495. 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
496. 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
497. 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
498. Investigation of Data-Driven Rating Curve (DDRC) Approach B. Bhandari et al. 10.3390/w15030604
499. 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
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501. DynQual v1.0: a high-resolution global surface water quality model E. Jones et al. 10.5194/gmd-16-4481-2023
502. 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
503. Toward Optimal Rainfall for Flood Prediction in Headwater Basins—Orographic QPE Error Modeling Using Machine Learning M. Liao & A. Barros 10.1029/2023WR034456
504. 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
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507. 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
508. 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
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510. 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
511. 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
512. 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
513. 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
514. 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
515. 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
516. 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
517. Median bed-material sediment particle size across rivers in the contiguous US G. Abeshu et al. 10.5194/essd-14-929-2022
518. 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
519. Multi-model ensemble benchmark data for hydrological modeling in Japanese river basins Y. Sawada et al. 10.3178/hrl.16.73
520. Physically-based modelling of UK river flows under climate change B. Smith et al. 10.3389/frwa.2024.1468855
521. Exploring the Application of Flood Scaling Property in Hydrological Model Calibration 10.1175/JHM-D-21-0123.1
522. 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
523. Near-term efficient predictability of dry and wet years during West African monsoon season U. Okoro et al. 10.1007/s00704-024-05108-0
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525. 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
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