174 citations as recorded by crossref.

1. An optimized routing model for flood forecasting R. Price
2. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al.
3. A stream prediction model based on attention-LSTM L. Yan et al.
4. Parsimonious modeling of hydrologic responses in engineered watersheds: Structural heterogeneity versus functional homogeneity N. Basu et al.
5. A review of integrated surface-subsurface numerical hydrological models L. Shu et al.
6. Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales) A. Weerts et al.
7. Assessment of the water and energy budget in a peatland catchment of the Alps using the process based GEOtop hydrological model J. Pullens et al.
8. An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions W. Li et al.
9. The Utility of Information Flow in Formulating Discharge Forecast Models: A Case Study From an Arid Snow‐Dominated Catchment C. Tennant et al.
10. Applicability of a physically based soil water model (SWMOD) in design flood estimation in eastern Australia M. Loveridge et al.
11. Uncertainty estimation in hydrodynamic modeling using Bayesian techniques V. Pinheiro et al.
12. SHETRAN and HEC HMS Model Evaluation for Runoff and Soil Moisture Simulation in the Jičinka River Catchment (Czech Republic) V. Đukić & R. Erić
13. Robust estimation of hydrological model parameters A. Bárdossy & S. Singh
14. Stochastic Modeling of Aquifer Level Temporal Fluctuations Based on the Conceptual Basis of the Soil-Water Balance Equation E. Varouchakis et al.
15. Bridging process-based hydrology and deep learning: exploring hybrid MIKE NAM–LSTM techniques for accurate streamflow prediction in a humid tropical river basin in India D. Chandran et al.
16. A generalized concentration curve (GCC) method for storm flow hydrograph prediction in a conceptual linear reservoir-channel cascade H. Wan et al.
17. An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools D. Viviroli et al.
18. Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework A. Gragne et al.
19. Study of climate change effects on hydrological processes in Siminehroud and Zarrinehroud watersheds northwest of Iran P. Mahmudi et al.
20. Effects of Climate Change on Streamflow in the Ayazma River Basin in the Marmara Region of Turkey K. Seddiqe et al.
21. Application of HEC-HMS for Hydrological Modeling of Upper Sabarmati River Basin, Gujarat, India R. Verma et al.
22. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al.
23. Modelling Hydrology and Sediment Transport in a Semi-Arid and Anthropized Catchment Using the SWAT Model: The Case of the Tafna River (Northwest Algeria) A. Zettam et al.
24. The role of evidence-based information in regional operational water management in the Netherlands M. Pezij et al.
25. Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network F. Di Nunno et al.
26. A model conditional processor to assess predictive uncertainty in flood forecasting E. Todini
27. Modelling of the Discharge Response to Climate Change under RCP8.5 Scenario in the Alata River Basin (Mersin, SE Turkey) Ü. Yıldırım et al.
28. Hydrosedimentological modeling with SWAT using multi-site calibration in nested basins with reservoirs P. Zanin et al.
29. A learning-based approach towards the data-driven predictive control of combined wastewater networks – An experimental study K. Balla et al.
30. Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential M. Herbei et al.
31. Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice D. Biondi et al.
32. Runoff modeling in Kolar river basin using hybrid approach of wavelet with artificial neural network D. Tiwari et al.
33. Machine learning-enabled calibration of river routing model parameters Y. Zhao et al.
34. Uncertainty assessment via Bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system P. Reggiani et al.
35. Can sampling techniques improve the performance of decomposition-based hydrological prediction models? Exploration of some comparative experiments M. He et al.
36. Simulation of the effects of land cover, soil degradation, and rainfall on runoff from a small tropical catchment using a minimally calibrated distributed model B. Zwartendijk et al.
37. Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts A. Gragne et al.
38. DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling R. Abrahart et al.
39. Using Remote Sensing Based Metrics to Quantify the Hydrological Response in a City C. Wirion et al.
40. Two-stage variational mode decomposition and support vector regression for streamflow forecasting G. Zuo et al.
41. A Bayesian approach to decision-making under uncertainty: An application to real-time forecasting in the river Rhine P. Reggiani & A. Weerts
42. Uncertainty analysis of a semi-distributed hydrologic model based on a Gaussian Process emulator J. Yang et al.
43. Sensitivity of Subjective Decisions in the GLUE Methodology for Quantifying the Uncertainty in the Flood Inundation Map for Seymour Reach in Indiana, USA Y. Jung et al.
44. Estimation of uncertainty propagation in flood inundation mapping using a 1-D hydraulic model Y. Jung & V. Merwade
45. Previsões de Vazões Mensais na Bacia Hidrográfica do Xingu - Leste da Amazônia E. Lucas et al.
46. Bayesian uncertainty analysis in hydrological modeling associated with watershed subdivision level: a case study of SLURP model applied to the Xiangxi River watershed, China J. Han et al.
47. Hydrological model for Hemren dam reservoir catchment area at the middle River Diyala reach in Iraq using ArcSWAT model T. Khayyun et al.
48. Uncertainty analysis of hydrological parameters of the APEXgraze model for grazing activities M. Maskey et al.
49. Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control V. Ramaswamy & F. Saleh
50. Influence of Data Length on the Determination of Data Adjustment Parameters in Conceptual Hydrological Modeling: A Case Study Using the Xinanjiang Model T. Zin & M. Lu
51. A physical-based semi-distributed continuous hydrological modelling for Brahmani River Basin, Eastern India R. Mohanty & S. Kumari
52. Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data M. Pezij et al.
53. Advancing flood warning procedures in ungauged basins with machine learning Z. Rasheed et al.
54. The river runoff forecast based on the modeling of time series R. Nigam et al.
55. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China J. Yang et al.
56. Coupling large-scale hydrological and hydrodynamic modeling: Toward a better comprehension of watershed-shallow lake processes A. Munar et al.
57. Evaluation of stormwater management approaches and challenges in urban flood control S. Arya & A. Kumar
58. Streamflow simulation using conceptual and neural network models in the Hemavathi sub-watershed, India N. Reddy et al.
59. Development of water and energy Budget-based Rainfall-Runoff-Inundation model (WEB-RRI) and its verification in the Kalu and Mundeni River Basins, Sri Lanka M. Rasmy et al.
60. Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya M. Wanzala et al.
61. Value of process understanding in the era of machine learning: A case for recession flow prediction P. Istalkar et al.
62. A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer H. Yoon et al.
63. Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya
64. A unified framework of water balance models for monthly, annual, and mean annual timescales X. Zhang et al.
65. Lake Urmia crisis and restoration plan: Planning without appropriate data and model is gambling M. Danesh-Yazdi & B. Ataie-Ashtiani
66. A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China Z. Liu et al.
67. Characterizing Hydrologic Vulnerability under Nonstationary Climate and Antecedent Conditions Using a Process-Informed Stochastic Weather Generator S. Rahat et al.
68. Improving the Forecast Performance of Hydrological Models Using the Cubature Kalman Filter and Unscented Kalman Filter Y. Sun et al.
69. Global prediction of extreme floods in ungauged watersheds G. Nearing et al.
70. The Court of Miracles of Hydrology: can failure stories contribute to hydrological science? V. Andréassian et al.
71. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models G. Papacharalampous et al.
72. Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al.
73. Improving Treatment of Noise Specification of Kalman Filtering for State Updating of Hydrological Models: Combining the Strengths of the Interacting Multiple Model Method and Cubature Kalman Filter Y. Sun et al.
74. Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models L. Li et al.
75. Research on flood forecast of dashimen reservoir in xinjiang based on melting snow and runoff yield under excess infiltration Y. Liu et al.
76. Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes V. Tran et al.
77. Physically Based and Data-Driven Models and Propagation of Input Uncertainties in River Flood Prediction R. Shrestha & F. Nestmann
78. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al.
79. Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models L. Li et al.
80. Exploring the power of data-driven models for groundwater system conceptualization: a case study of the Grazer Feld Aquifer, Austria A. Kokimova et al.
81. What can be expected from a semi-distributed multi-model approach for streamflow forecasting? Tailoring the structure and size of a super-ensemble on the Rhône basin C. Thébault et al.
82. Comparison of SWAT and DLBRM for Hydrological Modeling of a Mountainous Watershed in Arid Northwest China L. Zhang et al.
83. Review of flood modelling and models in developing cities and informal settlements: A case of Nairobi city R. Tom et al.
84. A first integrated modelling of a river-lagoon large-scale hydrological system for forecasting purposes V. Lopes et al.
85. Hydrological post-processing for predicting extreme quantiles H. Tyralis & G. Papacharalampous
86. Development of the consider cubature Kalman filter for state estimation of hydrological models with parameter uncertainty Y. Sun et al.
87. An automated toolchain for the data-driven and dynamical modeling of combined sewer systems S. Troutman et al.
88. A review of the current status of flood modelling for urban flood risk management in the developing countries U. Nkwunonwo et al.
89. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al.
90. An international standard conceptual model for sharing references to hydrologic features R. Atkinson et al.
91. Characterization of catchment behaviour and rainfall selection for flash flood hydrological model calibration: catchments of the eastern Pyrenees P. Garambois et al.
92. Assessing strategic water availability using remote sensing, GIS and a spatial water budget model: case study of the Upper Ing Basin, Thailand K. KC
93. Flood forecasting for River Mekong with data‐based models K. Shahzad & E. Plate
94. Software for hydrogeologic time series analysis, interfacing data with physical insight J. von Asmuth et al.
95. State-of-the-art hydraulic modelling: a comprehensive review of HEC-RAS for 1D and 2D applications J. Gupta et al.
96. Estimation of the uncertainty in water level forecasts at ungauged river locations using quantile regression K. Roscoe et al.
97. Multi-Hazard Risk Assessment of Kathmandu Valley, Nepal R. Khatakho et al.
98. Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia J. De Waele et al.
99. The Effect of Incorporation of Embankment Information for Flood Simulation of the Gin River, Sri Lanka J. Jayapadma et al.
100. The physically based, ML and hybrid models for runoff modeling in data-scarce basins S. Khanal & M. Kafle
101. Performance assessment of hydrologic uncertainty processor through integration of the principal components analysis Y. Yao et al.
102. Hydrological modeling using HEC-HMS model, case of Tikur Wuha River Basin, Rift Valley River Basin, Ethiopia J. Guduru & A. Mohammed
103. Precipitation Forecast Contribution Assessment in the Coupled Meteo-Hydrological Models A. Jabbari et al.
104. Assimilation of Discharge Data into Semidistributed Catchment Models for Short-Term Flow Forecasting: Case Study of the Seine River Basin S. Munier et al.
105. Physically based vs. data-driven models for streamflow and reservoir volume prediction at a data-scarce semi-arid basin G. Özdoğan-Sarıkoç & F. Dadaser-Celik
106. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al.
107. Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al.
108. Regional climate change projections and hydrological impact analysis for a Mediterranean basin in Southern Italy A. Senatore et al.
109. Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China C. Xu et al.
110. Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan N. Mount et al.
111. Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling H. Herath et al.
112. Hydrological modelling in a changing world M. Peel & G. Blöschl
113. Modeling of temporal groundwater level variations based on a Kalman filter adaptation algorithm with exogenous inputs E. Varouchakis
114. Disaggregated monthly SWAT+ model versus daily SWAT+ model for estimating environmental flows in Peninsular Spain G. Castellanos-Osorio et al.
115. Lakes restoration approaches M. Alhamarna & R. Tandyrak
116. A Review of Event-Based Conceptual Rainfall-Runoff Models: A Case for Australia S. Ali et al.
117. Predictive uncertainty assessment in flood forecasting using quantile regression A. M. K. & C. N. R
118. Future climate change impact evaluation on hydrologic processes in the Bharalu and Basistha basins using SWAT model A. Saharia & A. Sarma
119. On the Operational Flood Forecasting Practices Using Low-Quality Data Input of a Distributed Hydrological Model B. Li et al.
120. Potential and limitations of using soil mapping information to understand landscape hydrology F. Terribile et al.
121. One decade of multi-objective calibration approaches in hydrological modelling: a review A. Efstratiadis & D. Koutsoyiannis
122. Assessment of TOPKAPI-X Applicability for Flood Events Simulation in Two Small Catchments in Saxony F. Janabi et al.
123. Rainfall-runoff process simulation using HEC-HMS model: Study case of Rhumel Smedou watershed B. Abdelkebir et al.
124. Quantitative precipitation estimation with weather radar using a data- and information-based approach M. Neuper & U. Ehret
125. Constitution of a catchment virtual observatory for sharing flow and transport models outputs Z. Thomas et al.
126. SWAT model uncertainty analysis, calibration and validation for runoff simulation in the Luvuvhu River catchment, South Africa M. Thavhana et al.
127. Spatio-temporal trends of hydrological components: the case of the Tafna basin (northwestern Algeria) A. Mami et al.
128. Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes
129. Evaluating Spatial Variability in Sediment and Phosphorus Concentration‐Discharge Relationships Using Bayesian Inference and Self‐Organizing Maps K. Underwood et al.
130. Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin L. Melsen et al.
131. A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting G. Papacharalampous & H. Tyralis
132. A Probabilistic Paradigm for the Parametric Insurance of Natural Hazards R. Figueiredo et al.
133. Ameliorative effect of Vitamin C, Electrolyte and Jaggery on Transportation Stress at different flocking densities in Hot Humid and Winter Seasons on Hormonal parameters of goats D. Gupta et al.
134. An extreme forecast index-driven runoff prediction approach using stacking ensemble learning Z. Leng et al.
135. Implementation of cell-to-cell routing scheme in a large scale conceptual hydrological model P. Paul et al.
136. Simulation of river flow in the Thames over 120 years: Evidence of change in rainfall-runoff response? S. Crooks & A. Kay
137. High-Resolution, Fully Distributed Hydrologic Event-Based Simulations Over a Large Watershed in Texas S. Chintalapudi et al.
138. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al.
139. An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data K. Straus et al.
140. Sensitivity of the hydrological response to the variability of rainfall fields and soils for the Gard 2002 flash-flood event S. Anquetin et al.
141. Sensitivity of Simulating Hydrologic Processes to Gauge and Radar Rainfall Data in Subtropical Coastal Catchments J. Diaz-Ramirez et al.
142. An overview of approaches for reducing uncertainties in hydrological forecasting: Progress and challenges A. Panchanathan et al.
143. Quantile-Based Hydrological Modelling H. Tyralis & G. Papacharalampous
144. Bridging the gap: An interpretable coupled model (SWAT-ELM-SHAP) for blue-green water simulation in data-scarce basins Z. Guo et al.
145. Bayesian calibration of a flood inundation model using spatial data J. Hall et al.
146. Thermodynamics in the hydrologic response: Travel time formulation and application to Alpine catchments F. Comola et al.
147. Streamflow prediction in ungauged basins by regressive regionalization: a case study in Huai River Basin, China J. Song et al.
148. What Role Does Hydrological Science Play in the Age of Machine Learning? G. Nearing et al.
149. Uncertainty and its propagation estimation for an integrated water system model: An experiment from water quantity to quality simulations Y. Zhang & Q. Shao
150. From Catchment to National Scale Rainfall-Runoff Modelling: Demonstration of a Hydrological Modelling Framework S. Crooks et al.
151. Data Assimilation for Streamflow Forecasting: State–Parameter Assimilation versus Output Assimilation L. Sun et al.
152. A Comparison of Bayesian Methods for Uncertainty Analysis in Hydraulic and Hydrodynamic Modeling R. Camacho et al.
153. Uncertainty assessment through a precipitation dependent hydrologic uncertainty processor: An application to a small catchment in southern Italy D. Biondi et al.
154. Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al.
155. Global streamflow modelling using process-informed machine learning M. Magni et al.
156. How significant is sub‐daily variability of rainfall for hydrological modelling of floods? A satellite based approach to sub‐daily downscaling of gauged rainfall P. Shrestha et al.
157. Quantitative assessment of flood discharges and floodway failures through cross-cultivation of advancement in knowledge and traditional practices B. Wahalathantri et al.
158. Flood simulation using different sources of rainfall in the Huong River, Vietnam / Simulation d'inondation à l'aide de différentes sources d'information pluviométrique dans le bassin de la Rivière Huong, Vietnam O. VALERIANO et al.
159. Comparative analysis of data driven rainfall-runoff models in the Kolar river basin D. Tiwari et al.
160. Expectile-based hydrological modelling for uncertainty estimation: Life after mean H. Tyralis et al.
161. Preserving the dominant physical processes in a lumped hydrological model M. Martina et al.
162. Identification of the controlling factors for hydrological responses by artificial neural networks R. Hao et al.
163. Uncertainty Analysis of Multi-Model Flood Forecasts E. Plate & K. Shahzad
164. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al.
165. Estimation of Freshwater Discharge from the Gulf of Alaska Drainage Basins P. Xin et al.
166. Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al.
167. Assessment of the hydrological impact of land use/cover changes in a semi-arid basin using the SWAT model (case of the Oued Saïda basin in western Algeria) A. Hachemaoui et al.
168. Assessing the Performance of Two Hydrologic Models for Forecasting Daily Streamflows in the Cazones River Basin (Mexico) F. González-Leiva et al.
169. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al.
170. Operational use of a grid-based model for flood forecasting D. Price et al.
171. Deep learning rainfall–runoff predictions of extreme events J. Frame et al.
172. Applicability of Lumped Hydrological Models in a Data-Constrained River Basin of Asia U. Ghimire et al.
173. A current precipitation index-based model for continuous daily runoff simulation in seasonally snow covered sub-arctic catchments J. Akanegbu et al.
174. Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling S. Hellmers & P. Fröhle