330 citations as recorded by crossref.

1. The impact of projected changes in climate variability on the reliability of surface water supply in Scotland M. Afzal et al. 10.2166/ws.2015.027
2. Land-Use and Land Cover Is Driving Factor of Runoff Yield: Evidence from A Remote Sensing-Based Runoff Generation Simulation C. Xu et al. 10.3390/w14182854
3. What drives major channel widening in mountain rivers during floods? The role of debris floods during a high-magnitude event A. Brenna et al. 10.1016/j.geomorph.2023.108650
4. Modelling the effectiveness of land‐based natural flood management in a large, permeable catchment S. Collins et al. 10.1111/jfr3.12896
5. Data Fusion Techniques for Improving Soil Moisture Deficit Using SMOS Satellite and WRF-NOAH Land Surface Model P. Srivastava et al. 10.1007/s11269-013-0452-7
6. Prediction of Typhoon-Induced Flood Flows at Ungauged Catchments Using Simple Regression and Generalized Estimating Equation Approaches H. Lee et al. 10.3390/w10050647
7. Sediment Export Modeling in Cold-Climate Prairie Watersheds B. Mekonnen et al. 10.1061/(ASCE)HE.1943-5584.0001336
8. Dynamic Identifiability Analysis-Based Model Structure Evaluation Considering Rating Curve Uncertainty S. Van Hoey et al. 10.1061/(ASCE)HE.1943-5584.0000995
9. Transient changes in flood frequency and timing in Britain under potential projections of climate change A. Kay & D. Jones 10.1002/joc.2288
10. Scale effect on overland flow connectivity at the plot scale A. Peñuela et al. 10.5194/hess-17-87-2013
11. Development of a system for automated setup of a physically-based, spatially-distributed hydrological model for catchments in Great Britain E. Lewis et al. 10.1016/j.envsoft.2018.07.006
12. A simple and effective approach to enhance the representation of spatial heterogeneity in lumped conceptual hydrological models: Application in the time-variant gain model Y. Zhu et al. 10.2166/nh.2025.184
13. A conceptual, distributed snow redistribution model S. Frey & H. Holzmann 10.5194/hess-19-4517-2015
14. An investigation of the effect of transient climate change on snowmelt, flood frequency and timing in northern Britain A. Kay & S. Crooks 10.1002/joc.3913
15. A new approach to model the spatial and temporal variability of recharge to karst aquifers A. Hartmann et al. 10.5194/hess-16-2219-2012
16. A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al. 10.1016/j.jhydrol.2015.09.035
17. Divergent future drought projections in UK river flows and groundwater levels S. Parry et al. 10.5194/hess-28-417-2024
18. Sediment–water flows in mountain catchments: Insights into transport mechanisms as responses to high-magnitude hydrological events A. Brenna et al. 10.1016/j.jhydrol.2021.126716
19. A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies S. Budhathoki et al. 10.1080/02626667.2020.1715982
20. Evaluating soil moisture simulations from a national-scale gridded hydrological model over Great Britain R. Lane et al. 10.1016/j.ejrh.2024.101735
21. Evaluation of an instantaneous dryness index-based calibration-free continuous hydrological model in India S. Patnaik et al. 10.2166/nh.2019.081
22. Development of integrated approaches for hydrological data assimilation through combination of ensemble Kalman filter and particle filter methods Y. Fan et al. 10.1016/j.jhydrol.2017.05.010
23. Calibration of the semi-distributed PDM rainfall–runoff model in the Upper Lee catchment, UK I. Pechlivanidis et al. 10.1016/j.jhydrol.2010.03.022
24. The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater C. Brauer et al. 10.5194/gmd-7-2313-2014
25. Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling N. Dang et al. 10.3897/oneeco.7.e76410
26. Identification of Hydrologic Models, Optimized Parameters, and Rainfall Inputs Consistent with In Situ Streamflow and Rainfall and Remotely Sensed Soil Moisture A. Wright et al. 10.1175/JHM-D-17-0240.1
27. 2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin W. Azad et al. 10.1051/matecconf/20178701016
28. Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments J. Bennett et al. 10.1016/j.envsoft.2015.11.006
29. Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening P. Bai et al. 10.1016/j.scitotenv.2018.06.233
30. Catchment properties, function, and conceptual model representation: is there a correspondence? F. Fenicia et al. 10.1002/hyp.9726
31. Hydrological appraisal of rainfall estimates from radar, satellite, raingauge and satellite–gauge combination on the Qinhuai River Basin, China M. Abro et al. 10.1080/02626667.2018.1557335
32. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. 10.5194/hess-19-1659-2015
33. Could operational hydrological models be made compatible with satellite soil moisture observations? L. Zhuo & D. Han 10.1002/hyp.10804
34. Time scale dependent sensitivities of the XinAnJiang model parameters M. Lu & X. Li 10.3178/hrl.8.51
35. Development of clustered polynomial chaos expansion model for stochastic hydrological prediction F. Wang et al. 10.1016/j.jhydrol.2021.126022
36. Accounting for dependencies in regionalized signatures for predictions in ungauged catchments S. Almeida et al. 10.5194/hess-20-887-2016
37. Hydrological evaluation of satellite and reanalysis precipitation products in the glacier-fed river basin (Gilgit) M. Abro et al. 10.1007/s12517-020-05621-2
38. Real-time forecasting of river water level in urban based on radar rainfall: A case study in Fuzhou City Y. Liu et al. 10.1016/j.jhydrol.2021.126820
39. Indices for calibration data selection of the rainfall‐runoff model J. Liu & D. Han 10.1029/2009WR008668
40. Method for testing the accuracy of rainfall–runoff models in predicting peak flow changes due to rainfall changes, in a climate changing context N. Steenbergen & P. Willems 10.1016/j.jhydrol.2011.11.017
41. Testing the ability of a semidistributed hydrological model to simulate contributing area S. Mengistu & C. Spence 10.1002/2016WR018760
42. Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling S. Moustakas & P. Willems 10.3390/w13070972
43. A method for incorporating climate variability in climate change impact assessments: Sensitivity of river flows in the Eden catchment to precipitation scenarios R. Ledbetter et al. 10.1007/s10584-011-0386-0
44. Have applications of continuous rainfall–runoff simulation realized the vision for process‐based flood frequency analysis? R. Lamb et al. 10.1002/hyp.10882
45. Incorporating channel network information in hydrologic response modelling: Development of a model and inter-model comparison B. Biswal & R. Singh 10.1016/j.advwatres.2016.12.015
46. A real-time flood forecasting system with dual updating of the NWP rainfall and the river flow J. Liu et al. 10.1007/s11069-015-1643-8
47. Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application P. Srivastava et al. 10.1007/s11269-013-0337-9
48. How can we model subsurface stormflow at the catchment scale if we cannot measure it? P. Chifflard et al. 10.1002/hyp.13407
49. Climate change and river flooding: part 1 classifying the sensitivity of British catchments C. Prudhomme et al. 10.1007/s10584-013-0748-x
50. Parsimonious rainfall-runoff model construction supported by time series processing and validation of hydrological extremes – Part 2: Intercomparison of models and calibration approaches P. Willems et al. 10.1016/j.jhydrol.2014.01.028
51. Evidence and Implications of Nonlinear Flood Response in a Small Mountainous Watershed T. Kjeldsen et al. 10.1061/(ASCE)HE.1943-5584.0001343
52. The UKC2 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-11-1-2018
53. The impact of the variability and periodicity of rainfall on surface water supply systems in Scotland M. Afzal et al. 10.2166/wcc.2015.136
54. When are multiobjective calibration trade‐offs in hydrologic models meaningful? J. Kollat et al. 10.1029/2011WR011534
55. Environmental Impact Assessment (EIA) of Effluents from Constructed Wetlands on Water Quality of Receiving Watercourses N. Donoso et al. 10.1007/s11270-015-2465-8
56. Combining information from multiple flood projections in a hierarchical Bayesian framework N. Le Vine 10.1002/2015WR018143
57. Eco‐Physiological Constraints of Deep Soil Desiccation in Semiarid Tree Plantations X. Shao et al. 10.1029/2022WR034246
58. Evaluating stochastic rainfall models for hydrological modelling T. Nguyen et al. 10.1016/j.jhydrol.2023.130381
59. Predicting saturation‐excess runoff distribution with a lumped hillslope model: SWAT‐HS L. Hoang et al. 10.1002/hyp.11179
60. How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments L. Berthet et al. 10.5194/hess-13-819-2009
61. Long term simulations of macronutrients (C, N and P) in UK freshwaters V. Bell et al. 10.1016/j.scitotenv.2021.145813
62. Ensemble‐based assimilation of discharge into rainfall‐runoff models: A comparison of approaches to mapping observational information to state space V. Pauwels & G. De Lannoy 10.1029/2008WR007590
63. Insights on the impact of systematic model errors on data assimilation performance in changing catchments S. Pathiraja et al. 10.1016/j.advwatres.2017.12.006
64. A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis M. Pham et al. 10.5194/hess-22-1263-2018
65. Improving parameter priors for data-scarce estimation problems S. Almeida et al. 10.1002/wrcr.20437
66. A flexible and efficient multi-model framework in support of water management V. Wolfs et al. 10.5194/piahs-373-1-2016
67. A comparison of hydrological impacts from two ensembles of regional climate projections with a range of climate sensitivities A. Kay 10.1007/s10113-025-02426-5
68. The streamflow estimation using the Xinanjiang rainfall runoff model and dual state-parameter estimation method H. Lü et al. 10.1016/j.jhydrol.2012.12.011
69. Understanding the Value of Radar Rainfall Nowcasts in Flood Forecasting and Warning in Flashy Catchments M. Werner & M. Cranston 10.1002/met.125
70. A dual-pass error-correction technique for forecasting streamflow T. Pagano et al. 10.1016/j.jhydrol.2011.05.036
71. Calculating potential evaporation from climate model data: A source of uncertainty for hydrological climate change impacts A. Kay & H. Davies 10.1016/j.jhydrol.2008.06.005
72. Effect of spatial variability and seasonality in soil moisture on drainage thresholds and fluxes in a conceptual hydrological model H. McMillan 10.1002/hyp.9396
73. On the correlation between precipitation and potential evapotranspiration climate change signals for hydrological impact analyses J. De Niel et al. 10.1080/02626667.2019.1587615
74. Are stochastic point rainfall models able to preserve extreme flood statistics? N. Verhoest et al. 10.1002/hyp.7867
75. Intercomparison of hydrological model structures and calibration approaches in climate scenario impact projections T. Vansteenkiste et al. 10.1016/j.jhydrol.2014.07.062
76. Evaluation of Data-Driven and Process-Based Real-Time Flow Forecasting Techniques for Informing Operation of Surface Water Abstraction M. Yassin et al. 10.1061/(ASCE)WR.1943-5452.0001397
77. Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE W. Abera et al. 10.1016/j.advwatres.2017.03.010
78. Stochastic rainfall-runoff model with explicit soil moisture dynamics M. Bartlett et al. 10.1098/rspa.2015.0389
79. Exploiting the Topographic Information in a PDM-Based Conceptual Hydrological Model L. Noto 10.1061/(ASCE)HE.1943-5584.0000908
80. TOPMELT 1.0: a topography-based distribution function approach to snowmelt simulation for hydrological modelling at basin scale M. Zaramella et al. 10.5194/gmd-12-5251-2019
81. Analysis of the global warming dynamics from temperature time series F. Viola et al. 10.1016/j.ecolmodel.2010.05.001
82. DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al. 10.5194/gmd-18-4247-2025
83. Restoring a glacier‐fed river: Past and present morphodynamics of a degraded channel in the Italian Alps V. Scorpio et al. 10.1002/esp.4931
84. On the importance of soil moisture in calibration of rainfall–runoff models: two case studies M. Shahrban et al. 10.1080/02626667.2018.1487560
85. Understanding the national performance of flood forecasting models to guide incident management and investment S. Wells et al. 10.1051/e3sconf/20160718007
86. The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales L. Yao et al. 10.1029/2020WR027111
87. Transmission loss estimation for ephemeral sand rivers in Southern Africa S. Mathias et al. 10.1016/j.jhydrol.2021.126487
88. Floods in a Changing Climate T. Andersen & J. Marshall Shepherd 10.1111/gec3.12025
89. The Influence of Model Structure Uncertainty on Water Quality Assessment T. Nguyen & P. Willems 10.1007/s11269-016-1330-x
90. BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia C. Su et al. 10.5194/gmd-12-2049-2019
91. The impact of climate change on U. K. river flows: A preliminary comparison of two generations of probabilistic climate projections A. Kay et al. 10.1002/hyp.13644
92. Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements M. Li et al. 10.1016/j.jhydrol.2023.130425
93. Implications of event-based loss model structure on simulating large floods D. O'Shea et al. 10.1016/j.jhydrol.2021.126008
94. Updating inflow forecasts using empirical statistical matching for real-time prediction of daily net inflows to Okanagan Lake B. Ma et al. 10.1080/07011784.2023.2209547
95. Review of trend analysis and climate change projections of extreme precipitation and floods in Europe H. Madsen et al. 10.1016/j.jhydrol.2014.11.003
96. Using UKCP09 probabilistic climate information for UK water resource planning B. Christierson et al. 10.1016/j.jhydrol.2011.12.020
97. A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
98. A fractional factorial probabilistic collocation method for uncertainty propagation of hydrologic model parameters in a reduced dimensional space S. Wang et al. 10.1016/j.jhydrol.2015.09.034
99. A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model X. Chen et al. 10.1016/j.engappai.2015.09.010
100. Development of a copula‐based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence Y. Fan et al. 10.1002/2016WR020144
101. The effect of climate policy on the impacts of climate change on river flows in the UK N. Arnell et al. 10.1016/j.jhydrol.2013.12.046
102. Implementing a parsimonious variable contributing area algorithm for the prairie pothole region in the HYPE modelling framework M. Ahmed et al. 10.1016/j.envsoft.2023.105769
103. Future Flows Hydrology: an ensemble of daily river flow and monthly groundwater levels for use for climate change impact assessment across Great Britain C. Prudhomme et al. 10.5194/essd-5-101-2013
104. Spatial variability of hydrological processes and model structure diagnostics in a 50 km2catchment H. McMillan et al. 10.1002/hyp.9988
105. Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al. 10.1016/j.jhydrol.2024.130829
106. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. 10.3390/w13111573
107. Catchment-scale non-linear groundwater-surface water interactions in densely drained lowland catchments Y. van der Velde et al. 10.5194/hess-13-1867-2009
108. Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling E. Jeremiah et al. 10.1016/j.envsoft.2012.07.001
109. On the relationship between flood and contributing area C. Spence & S. Mengistu 10.1002/hyp.13467
110. Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK V. Bell et al. 10.1016/j.jhydrol.2009.08.031
111. How might climate change affect river flows across the Thames Basin? An area-wide analysis using the UKCP09 Regional Climate Model ensemble V. Bell et al. 10.1016/j.jhydrol.2012.04.001
112. Hydrological response to climate change in a glacierized catchment in eastern Tien Shan, Central Asia Y. Jia et al. 10.1016/j.ejrh.2024.101669
113. Assessment of the impact of urban water system scheduling on urban flooding by using coupled hydrological and hydrodynamic model in Fuzhou City, China C. Ye et al. 10.1016/j.jenvman.2022.115935
114. Towards an improved land surface scheme for prairie landscapes M. Mekonnen et al. 10.1016/j.jhydrol.2014.01.020
115. Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al. 10.1080/02626667.2022.2144322
116. Performance evaluation of WRF-Noah Land surface model estimated soil moisture for hydrological application: Synergistic evaluation using SMOS retrieved soil moisture P. Srivastava et al. 10.1016/j.jhydrol.2015.07.041
117. Comparison of ensemble data assimilation methods for the estimation of time-varying soil hydraulic parameters K. Liu et al. 10.1016/j.jhydrol.2020.125729
118. Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations N. Nanding et al. 10.1016/j.jhydrol.2021.127093
119. A regional coupled approach to water cycle prediction during winter 2013/14 in the United Kingdom H. Lewis & S. Dadson 10.1002/hyp.14438
120. Exploring the Implications of Modeling Choices on Prediction of Irrigation Water Savings C. Eluwa et al. 10.1029/2021WR031618
121. Evaluation of different parameterizations of the spatial heterogeneity of subsurface storage capacity for hourly runoff simulation in boreal mountainous watershed T. Hailegeorgis et al. 10.1016/j.jhydrol.2014.12.061
122. Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin M. Abro et al. 10.1007/s12517-021-08254-1
123. Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation S. Wang et al. 10.1002/2018WR022546
124. Improved hydrologic modeling for depression-dominated areas L. Zeng et al. 10.1016/j.jhydrol.2020.125269
125. Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya M. Wanzala et al. 10.1111/jfr3.12846
126. An integrated probabilistic assessment to analyse stochasticity of soil erosion in different restoration vegetation types J. Zhou et al. 10.5194/hess-21-1491-2017
127. Towards Operational Flood Monitoring in Flanders Using Sentinel-1 L. Landuyt et al. 10.1109/JSTARS.2021.3121992
128. An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation Y. Sawada 10.1029/2021MS002882
129. The Numerical Formulation of Simple Hysteretic Models to Simulate the Large‐Scale Hydrological Impacts of Prairie Depressions M. Clark & K. Shook 10.1029/2022WR032694
130. An assessment of DBM flood forecasting models M. Vaughan & N. McIntyre 10.1680/wama.2012.165.2.105
131. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
132. How might climate change affect river flows across West Africa? P. Rameshwaran et al. 10.1007/s10584-021-03256-0
133. Evaluating Satellite Precipitation Error Propagation in Runoff Simulations of Mountainous Basins Y. Mei et al. 10.1175/JHM-D-15-0081.1
134. Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment P. Najmaddin et al. 10.3390/cli5020032
135. Sensitivity and uncertainty analysis of mesoscale model downscaled hydro-meteorological variables for discharge prediction P. Srivastava et al. 10.1002/hyp.9946
136. Probabilistic Conditioning and Recalibration of an Event-Based Flood Forecasting Model Using Real-Time Streamflow Observations K. Bahramian et al. 10.1061/(ASCE)HE.1943-5584.0002236
137. Use of Flood Seasonality in Pooling‐Group Formation and Quantile Estimation: An Application in Great Britain G. Formetta et al. 10.1002/2017WR021623
138. Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al. 10.1016/j.jhydrol.2024.131834
139. Evaluation of a grid-based river flow model configured for use in a regional climate model S. Dadson et al. 10.1016/j.jhydrol.2011.10.002
140. Comparison of the use of alternative UKCP09 products for modelling the impacts of climate change on flood frequency A. Kay & R. Jones 10.1007/s10584-011-0395-z
141. Intercomparison of five lumped and distributed models for catchment runoff and extreme flow simulation T. Vansteenkiste et al. 10.1016/j.jhydrol.2014.01.050
142. Specifying a hierarchical mixture of experts for hydrologic modeling: Gating function variable selection E. Jeremiah et al. 10.1002/wrcr.20150
143. Assessing the power of non-parametric data-driven approaches to analyse the impact of drought measures J. De Meester & P. Willems 10.1016/j.envsoft.2023.105923
144. A study of non-linearity in rainfall-runoff response using 120 UK catchments S. Mathias et al. 10.1016/j.jhydrol.2016.06.039
145. Towards reliable uncertainty quantification for hydrologic predictions, part II: Characterizing impacts of uncertain factors through an iterative factorial data assimilation framework Y. Fan et al. 10.1016/j.jhydrol.2022.128136
146. Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al. 10.1002/2013WR014537
147. Exploring parsimonious daily rainfall-runoff model structure using the hyperbolic tangent function and Tank model J. Song et al. 10.1016/j.jhydrol.2019.04.054
148. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
149. An Upscaled Model of Fill‐And‐Spill Hydrological Response M. Taheri et al. 10.1029/2022WR033494
150. Improving the representation of groundwater processes in a large-scale water resources model H. Baron et al. 10.1080/02626667.2023.2208755
151. Process-based karst modelling to relate hydrodynamic and hydrochemical characteristics to system properties A. Hartmann et al. 10.5194/hess-17-3305-2013
152. Uncertainty in a Lumped and a Semi-Distributed Model for Discharge Prediction in Ghatshila Catchment A. Yaduvanshi et al. 10.3390/w10040381
153. Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales) A. Weerts et al. 10.5194/hess-15-255-2011
154. Investigating capabilities of machine learning techniques in forecasting stream flow S. Kabir et al. 10.1680/jwama.19.00001
155. Understanding Future Water Challenges in a Highly Regulated Indian River Basin—Modelling the Impact of Climate Change on the Hydrology of the Upper Narmada N. Rickards et al. 10.3390/w12061762
156. NUMERICAL EXPERIMENTS TO CALIBRATE A HYDROLOGICAL MODEL BASED ON STREAMFLOW SIGNATURES AND HYDROLOGICAL TIME SERIES DATA R. ARAI et al. 10.2208/jscejer.78.5_I_95
157. Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework M. Stergiadi et al. 10.3390/w12082255
158. River flow prediction through rainfall–runoff modelling with a probability-distributed model (PDM) in Flanders, Belgium P. Cabus 10.1016/j.agwat.2008.02.013
159. High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM L. Sidek et al. 10.3390/su131810259
160. A practical approach to the assessment of probabilistic flow predictions S. Liguori & M. Rico‐Ramirez 10.1002/hyp.9468
161. Runoff Prediction of Tunxi Basin under Projected Climate Changes Based on Lumped Hydrological Models with Various Model Parameter Optimization Strategies B. Yan et al. 10.3390/su16166897
162. Detection of structural inadequacy in process‐based hydrological models: A particle‐filtering approach P. Smith et al. 10.1029/2006WR005205
163. Normalized Antecedent Precipitation Index Based Model for Prediction of Runoff from Un-Gauged Catchments N. Ghosh et al. 10.1007/s11269-021-02775-w
164. A top-down framework for watershed model evaluation and selection under uncertainty Y. Bai et al. 10.1016/j.envsoft.2008.12.012
165. Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong 10.1016/j.jhydrol.2018.04.027
166. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
167. Improving the flood prediction capability of the Xinanjiang model in ungauged nested catchments by coupling it with the geomorphologic instantaneous unit hydrograph C. Yao et al. 10.1016/j.jhydrol.2014.06.037
168. Extreme precipitation events induce high fluxes of groundwater and associated nutrients to coastal ocean M. Diego-Feliu et al. 10.5194/hess-26-4619-2022
169. Complementarity between Combined Heat and Power Systems, Solar PV and Hydropower at a District Level: Sensitivity to Climate Characteristics along an Alpine Transect H. Puspitarini et al. 10.3390/en13164156
170. Copula‐Based Convection‐Permitting Projections of Future Changes in Multivariate Drought Characteristics B. Zhang et al. 10.1029/2019JD030686
171. Hydrologic modeling in dynamic catchments: A data assimilation approach S. Pathiraja et al. 10.1002/2015WR017192
172. HESS Opinions: Are soils overrated in hydrology? H. Gao et al. 10.5194/hess-27-2607-2023
173. Influence of Hydrological Model Selection on Simulation of Moderate and Extreme Flow Events: A Case Study of the Blue Nile Basin C. Onyutha 10.1155/2016/7148326
174. Understanding the impacts of catchment characteristics on the shape of the storage capacity curve and its influence on flood flows H. Gao et al. 10.2166/nh.2017.245
175. On the development and analysis of coupled surface–subsurface models of catchments. Part 3. Analytical solutions and scaling laws P. Morawiecki & P. Trinh 10.1017/jfm.2023.1033
176. Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
177. Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme H. Wheater et al. 10.1002/hyp.14557
178. Neural network modelling of non-linear hydrological relationships R. Abrahart & L. See 10.5194/hess-11-1563-2007
179. Towards robust quantification and reduction of uncertainty in hydrologic predictions: Integration of particle Markov chain Monte Carlo and factorial polynomial chaos expansion S. Wang et al. 10.1016/j.jhydrol.2017.03.027
180. Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem P. Rokaya et al. 10.1002/hyp.13687
181. Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al. 10.5194/hess-19-2911-2015
182. Benchmarking ensemble streamflow prediction skill in the UK S. Harrigan et al. 10.5194/hess-22-2023-2018
183. Misrepresentation and amendment of soil moisture in conceptual hydrological modelling L. Zhuo & D. Han 10.1016/j.jhydrol.2016.02.033
184. Error Analysis of Satellite Precipitation-Driven Modeling of Flood Events in Complex Alpine Terrain Y. Mei et al. 10.3390/rs8040293
185. A stochastic design rainfall generator based on copulas and mass curves S. Vandenberghe et al. 10.5194/hess-14-2429-2010
186. Reference Evapotranspiration Retrievals from a Mesoscale Model Based Weather Variables for Soil Moisture Deficit Estimation P. Srivastava et al. 10.3390/su9111971
187. A historical perspective on modelling the relationship between catchment wetness and streamflow response F. Fenicia et al. 10.1080/02626667.2025.2504429
188. Hydrograph matching method for measuring model performance J. Ewen 10.1016/j.jhydrol.2011.07.038
189. Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-Scale Satellite Data P. Baguis & E. Roulin 10.3390/rs9080820
190. Season‐based rainfall–runoff modelling using the probability‐distributed model (PDM) for large basins in southeastern Brazil R. Zhang et al. 10.1002/hyp.13154
191. Real-Time River Flood Control under Historical and Future Climatic Conditions: Flanders Case Study E. Vermuyten et al. 10.1061/(ASCE)WR.1943-5452.0001144
192. Hydrological signatures describing the translation of climate seasonality into streamflow seasonality S. Gnann et al. 10.5194/hess-24-561-2020
193. Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty A. Haghnegahdar et al. 10.1002/hyp.11358
194. Impact of Climate Change on Combined Solar and Run-of-River Power in Northern Italy B. François et al. 10.3390/en11020290
195. Uncertainty in the relationship between climate forcing and hydrological response in UK catchments N. Arnell 10.5194/hess-15-897-2011
196. Threshold models for river flow extremes O. Grigg & J. Tawn 10.1002/env.2138
197. Merging weather radar observations with ground-based measurements of rainfall using an adaptive multiquadric surface fitting algorithm B. Martens et al. 10.1016/j.jhydrol.2013.07.011
198. Robust informational entropy-based descriptors of flow in catchment hydrology I. Pechlivanidis et al. 10.1080/02626667.2014.983516
199. Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture P. Srivastava et al. 10.3390/ijgi10080507
200. Assessing the Integration of Wetlands along Small European Waterways to Address Diffuse Nitrate Pollution N. Donoso et al. 10.3390/w9060369
201. Investigating uniqueness and identifiability in auto-calibration of the ARNO daily rainfall-runoff model using the PSO algorithm N. Ensaniyat et al. 10.1080/15715124.2020.1760290
202. Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model J. Wallbank et al. 10.1016/j.jhydrol.2022.128311
203. Impact of potential and (scintillometer-based) actual evapotranspiration estimates on the performance of a lumped rainfall–runoff model B. Samain & V. Pauwels 10.5194/hess-17-4525-2013
204. Towards hydrological model calibration using river level measurements J. Jian et al. 10.1016/j.ejrh.2016.12.085
205. Role of hydrological model structure in the assimilation of soil moisture for streamflow prediction A. Nayak et al. 10.1016/j.jhydrol.2021.126465
206. Improved modelling of a Prairie catchment using a progressive two-stage calibration strategy with in situ soil moisture and streamflow data S. Budhathoki et al. 10.2166/nh.2020.109
207. Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling J. Wang et al. 10.1029/2022WR033323
208. Progress in the hydrologic simulation of time variant recharge areas of karst systems – Exemplified at a karst spring in Southern Spain A. Hartmann et al. 10.1016/j.advwatres.2013.01.010
209. Evaluating the parameter identifiability and structural validity of a probability-distributed model for soil moisture D. Tripp & J. Niemann 10.1016/j.jhydrol.2008.01.028
210. Climate change over UK cities: the urban influence on extreme temperatures in the UK climate projections W. Keat et al. 10.1007/s00382-021-05883-w
211. Appraisal of SMOS soil moisture at a catchment scale in a temperate maritime climate P. Srivastava et al. 10.1016/j.jhydrol.2013.06.021
212. Water availability in +2°C and +4°C worlds F. Fung et al. 10.1098/rsta.2010.0293
213. Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales C. Prudhomme et al. 10.1080/02626667.2017.1395032
214. Reducing structural uncertainty in conceptual hydrological modelling in the semi-arid Andes P. Hublart et al. 10.5194/hess-19-2295-2015
215. Modular conceptual modelling approach and software for river hydraulic simulations V. Wolfs et al. 10.1016/j.envsoft.2015.05.010
216. Impacts of climate and land use changes on flood risk management for the Schijn River, Belgium T. Akter et al. 10.1016/j.envsci.2018.07.002
217. Hydrological appraisal using multi-source rainfall data in PDM model over the Qinhuai River basin in China B. Akpovi et al. 10.1007/s12517-022-09545-x
218. Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
219. How sensitive are catchment runoff estimates to on-farm storages under current and future climates? D. Robertson et al. 10.1016/j.jhydrol.2023.130185
220. Adaptive correction of deterministic models to produce probabilistic forecasts P. Smith et al. 10.5194/hess-16-2783-2012
221. On the value of a history of hydrology and the establishment of a History of Hydrology Working Group K. Beven et al. 10.1080/02626667.2025.2452357
222. Development of a disaggregated multi-level factorial hydrologic data assimilation model F. Wang et al. 10.1016/j.jhydrol.2022.127802
223. Uncertainty Analysis of Climate Change Impact on River Flow Extremes Based on a Large Multi-Model Ensemble J. De Niel et al. 10.1007/s11269-019-02370-0
224. The role of rating curve uncertainty in real‐time flood forecasting D. Ocio et al. 10.1002/2016WR020225
225. Multi-source hydrological soil moisture state estimation using data fusion optimisation L. Zhuo & D. Han 10.5194/hess-21-3267-2017
226. Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect T. Pérez Ciria et al. 10.1016/j.scitotenv.2020.140179
227. Modifications in Water Resources Availability Under Climate Changes: A Case Study in a Sicilian Basin L. Liuzzo et al. 10.1007/s11269-014-0864-z
228. Climate-change potential effects on the hydrological regime of freshwater springs in the Italian Northern Apennines F. Cervi et al. 10.1016/j.scitotenv.2017.11.231
229. Framework for event‐based semidistributed modeling that unifies the SCS‐CN method, VIC, PDM, and TOPMODEL M. Bartlett et al. 10.1002/2016WR019084
230. A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
231. Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability R. Basijokaite & C. Kelleher 10.1029/2020WR028544
232. Rainfall elasticity functions explain divergent runoff sensitivity to rainfall errors in hydrological models E. Dallan et al. 10.1016/j.jhydrol.2025.132746
233. EHSM: a conceptual ecohydrological model for daily streamflow simulation F. Viola et al. 10.1002/hyp.9876
234. A polynomial chaos ensemble hydrologic prediction system for efficient parameter inference and robust uncertainty assessment S. Wang et al. 10.1016/j.jhydrol.2015.10.021
235. Combining Experimental Methods and Modeling to Quantify the Complex Recharge Behavior of Karst Aquifers M. Mudarra et al. 10.1029/2017WR021819
236. Scenario-neutral approach to climate change impact studies: Application to flood risk C. Prudhomme et al. 10.1016/j.jhydrol.2010.06.043
237. Predicting the temporal transferability of model parameters through a hydrological signature analysis D. Jayathilake & T. Smith 10.1007/s11707-019-0755-y
238. Advancing objective functions in hydrological modelling: Integrating knowable moments for improved simulation accuracy A. Pizarro & J. Jorquera 10.1016/j.jhydrol.2024.131071
239. Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
240. Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin N. Le Vine et al. 10.5194/hess-20-143-2016
241. Flood Frequency Estimation in Data-Sparse Wainganga Basin, India, Using Continuous Simulation G. Vesuviano et al. 10.3390/w14182887
242. Putting the cat in the box: why our models should consider subsurface heterogeneity at all scales A. Hartmann 10.1002/wat2.1146
243. A Daily Water Balance Model Based on the Distribution Function Unifying Probability Distributed Model and the SCS Curve Number Method M. Kheimi & S. Abdelaziz 10.3390/w14020143
244. Gauged and historical abrupt wave front floods (‘walls of water’) in Pennine rivers, northern England D. Archer et al. 10.1111/jfr3.12989
245. Integrated Multisource Data Assimilation and NSGA-II Multiobjective Optimization Framework for Streamflow Simulations M. Bahrami et al. 10.1061/JHYEFF.HEENG-6263
246. The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3 M. Bush et al. 10.5194/gmd-18-3819-2025
247. Future hot-spots for hydro-hazards in Great Britain: a probabilistic assessment L. Collet et al. 10.5194/hess-22-5387-2018
248. Comparing Large-Scale Hydrological Model Simulations to Observed Runoff Percentiles in Europe L. Gudmundsson et al. 10.1175/JHM-D-11-083.1
249. Assessing the Impact of Climate Change and Extreme Value Uncertainty to Extreme Flows across Great Britain L. Collet et al. 10.3390/w9020103
250. How will climate change affect the spatial coherence of streamflow and groundwater droughts in Great Britain? M. Tanguy et al. 10.1088/1748-9326/acd655
251. Assessment of the indirect calibration of a rainfall-runoff model for ungauged catchments in Flanders N. De Vleeschouwer & V. Pauwels 10.5194/hess-17-2001-2013
252. Assessing the integrity of soil erosion in different patch covers in semi-arid environment J. Zhou et al. 10.1016/j.jhydrol.2019.01.056
253. Scale Dependence of Errors in Snow Water Equivalent Simulations Using ERA5 Reanalysis over Alpine Basins S. Shrestha et al. 10.3390/cli11070154
254. Hydrological design in the HELPING decade – inspiring the community to innovate the hydrological design concept S. Fischer et al. 10.1080/02626667.2024.2436634
255. Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. 10.1002/2015WR018429
256. Parameter Uncertainties in a Conceptual Rainfall-runoff Model and Implications on Surface Water Management and Planning Decisions A. Asfaw et al. 10.1016/j.proeng.2016.07.479
257. Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation S. Pathiraja et al. 10.1016/j.advwatres.2016.04.021
258. Understanding the Contributions of Paleo‐Informed Natural Variability and Climate Changes to Hydroclimate Extremes in the San Joaquin Valley of California R. Gupta et al. 10.1029/2023EF003909
259. Hypothetico‐inductive data‐based mechanistic modeling of hydrological systems P. Young 10.1002/wrcr.20068
260. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C. Restrepo-Estrada et al. 10.1016/j.cageo.2017.10.010
261. Convection-permitting models for managing hydrological extremes: practical, innovative examples M. Dale & K. Shelton 10.1098/rsta.2024.0289
262. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
263. Hydrologic model calibration approaches for highly regulated river basin: A comprehensive assessment M. Sheikh & P. Coulibaly 10.1016/j.ejrh.2025.102198
264. Calibrating hydrologic models in flow-corrected time T. Smith et al. 10.1002/2013WR014635
265. Regionalisation of a PDM Model for Catchment Runoff in a Mountainous Region of Korea H. Chang et al. 10.1007/s12205-018-1629-7
266. A distributed Grid-Xinanjiang model with integration of subgrid variability of soil storage capacity W. Guo et al. 10.1016/j.wse.2016.06.003
267. Application of Remote-Sensing-Based Hydraulic Model and Hydrological Model in Flood Simulation C. Xu et al. 10.3390/su14148576
268. Coupling urban expansion models and hydrological models: How important are spatial patterns? L. Poelmans et al. 10.1016/j.landusepol.2009.12.010
269. Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2) A. Martínez-de la Torre et al. 10.5194/gmd-12-765-2019
270. Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al. 10.1029/2018WR023254
271. Storm characteristics dictate sediment dynamics and geomorphic changes in mountain channels: A case study in the Italian Alps V. Scorpio et al. 10.1016/j.geomorph.2022.108173
272. Coupling catchment runoff models to groundwater flow models in a multi-model ensemble approach for improved prediction of groundwater recharge, hydraulic heads and river discharge Q. Tran et al. 10.1007/s10040-019-02018-8
273. Hydrological modelling using raingauge- and radar-based estimators of areal rainfall S. Cole & R. Moore 10.1016/j.jhydrol.2008.05.025
274. Estimating the index flood with continuous hydrological models: an application in Great Britain G. Formetta et al. 10.2166/nh.2017.251
275. Impact of seasonal changes in vegetation on the river model prediction accuracy and real‐time flood control performance E. Vermuyten et al. 10.1111/jfr3.12651
276. Assessing flood risk in Baiyangdian Lake area in a changing climate using an integrated hydrological-hydrodynamic modelling Y. Wang et al. 10.1080/02626667.2019.1657577
277. Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction Y. Shen et al. 10.1016/j.jhydrol.2022.127683
278. Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models J. Zaherpour et al. 10.1016/j.envsoft.2019.01.003
279. Estimating design flood runoff volume G. Vesuviano et al. 10.1111/jfr3.12642
280. Evolution of overland flow connectivity in bare agricultural plots A. Peñuela et al. 10.1002/esp.3938
281. Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior J. Herman et al. 10.1002/wrcr.20124
282. Total Maximum Daily Load Application Using Biological Oxygen Demand, Chemical Oxygen Demand, and Ammoniacal Nitrogen: A Case Study for Water Quality Assessment in the Perai River Basin, Malaysia S. Mohamad Faudzi et al. 10.3390/w15061227
283. Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution B. Mekonnen et al. 10.1002/hyp.10800
284. Assessment of urban flood risk based on data-driven models: A case study in Fuzhou City, China C. Ye et al. 10.1016/j.ijdrr.2022.103318
285. Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. 10.5194/hess-26-2319-2022
286. Use of a grid‐based hydrological model and regional climate model outputs to assess changing flood risk V. Bell et al. 10.1002/joc.1539
287. Use of high‐resolution NWP rainfall and river flow forecasts for advance warning of the Carlisle flood, north‐west England N. Roberts et al. 10.1002/met.94
288. Concepts and applications of the Flanders Hydrological Model environment T. Vansteenkiste et al. 10.1051/e3sconf/20160704006
289. Use of Abstraction and Discharge Data to Improve the Performance of a National‐Scale Hydrological Model P. Rameshwaran et al. 10.1029/2021WR029787
290. Are moments of rainfall spatial variability useful for runoff modelling in operational hydrology? G. Giani et al. 10.1080/02626667.2022.2092405
291. Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications J. Vrugt et al. 10.1016/j.advwatres.2012.04.002
292. On selection of the optimal data time interval for real-time hydrological forecasting J. Liu & D. Han 10.5194/hess-17-3639-2013
293. Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response M. Bartlett et al. 10.1002/2015WR018439
294. Accounting for soil moisture in rainfall-runoff modelling of urban areas J. Fidal & T. Kjeldsen 10.1016/j.jhydrol.2020.125122
295. Examining dynamic interactions among experimental factors influencing hydrologic data assimilation with the ensemble Kalman filter S. Wang et al. 10.1016/j.jhydrol.2017.09.052
296. Rainfall–runoff modelling in a tropical climate (Citarum basin, West Java, Indonesia): Model and climate data intercomparison G. Vesuviano et al. 10.2166/nh.2025.021
297. Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. 10.1016/j.jhydrol.2021.126020
298. Improving the representation of the non-contributing area dynamics in land surface models for better simulation of prairie hydrology M. Ahmed et al. 10.1016/j.jhydrol.2021.126562
299. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset J. Schellekens et al. 10.5194/essd-9-389-2017
300. Advances in Land Surface Modelling E. Blyth et al. 10.1007/s40641-021-00171-5
301. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach R. Singh et al. 10.1016/j.jhydrol.2014.06.030
302. Bayesian conditioning of a rainfall‐runoff model for predicting flows in ungauged catchments and under land use changes N. Bulygina et al. 10.1029/2010WR009240
303. The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK I. Pechlivanidis et al. 10.2166/nh.2016.038
304. Rethinking data‐driven decision support in flood risk management for a big data age R. Towe et al. 10.1111/jfr3.12652
305. The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18 J. Hannaford et al. 10.5194/essd-15-2391-2023
306. Monthly versus daily water balance models in simulating monthly runoff Q. Wang et al. 10.1016/j.jhydrol.2011.04.027
307. Hydrological Model Supported by a Step-Wise Calibration against Sub-Flows and Validation of Extreme Flow Events C. Onyutha 10.3390/w11020244
308. Representing radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approach F. Cecinati et al. 10.1016/j.jhydrol.2017.02.053
309. The impacts of assimilating satellite soil moisture into a rainfall–runoff model in a semi-arid catchment C. Alvarez-Garreton et al. 10.1016/j.jhydrol.2014.07.041
310. Distributed hydrological modelling using weather radar in gauged and ungauged basins S. Cole & R. Moore 10.1016/j.advwatres.2009.01.006
311. Comparison of uncertainty sources for climate change impacts: flood frequency in England A. Kay et al. 10.1007/s10584-008-9471-4
312. Radar products for hydrological applications in the UK D. Harrison et al. 10.1680/wama.2012.165.2.89
313. Impact of spring freshet flooding and summer rainfall flooding on the water quality of an alpine barrier lake C. Li et al. 10.1186/s12302-020-00319-4
314. Estimating river discharge from rainfall satellite data through simple statistical models P. Birocchi et al. 10.1007/s00704-023-04459-4
315. Spatially Distributed Conceptual Hydrological Model Building: A Generic Top‐Down Approach Starting From Lumped Models Q. Tran et al. 10.1029/2018WR023566
316. Estimation of ‘drainable’ storage – A geomorphological approach B. Biswal & D. Nagesh Kumar 10.1016/j.advwatres.2014.12.009
317. A multi-hydrological model ensemble prediction uncertainty estimation (e-PRUNE) framework C. Onyutha 10.2166/nh.2025.116
318. Operational use of a grid-based model for flood forecasting D. Price et al. 10.1680/wama.2012.165.2.65
319. A System for Continuous Hydrological Ensemble Forecasting (SCHEF) to lead times of 9 days J. Bennett et al. 10.1016/j.jhydrol.2014.08.010
320. Assessment of SMOS soil moisture retrieval parameters using tau–omega algorithms for soil moisture deficit estimation P. Srivastava et al. 10.1016/j.jhydrol.2014.07.056
321. Understanding the role of hydrologic model structures on evapotranspiration-driven sensitivity D. Jayathilake & T. Smith 10.1080/02626667.2020.1754421
322. Internal validation of conceptual rainfall–runoff models using baseflow separation B. Ferket et al. 10.1016/j.jhydrol.2009.11.038
323. Model Conceptualization Procedure for River (Flood) Hydraulic Computations: Case Study of the Demer River, Belgium P. Chiang & P. Willems 10.1007/s11269-013-0407-z
324. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al. 10.1080/02626667.2023.2251968
325. Characteristics and controls of variability in soil moisture and groundwater in a headwater catchment H. McMillan & M. Srinivasan 10.5194/hess-19-1767-2015
326. A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al. 10.1007/s00477-014-0954-8
327. Combining Model Predictive Control with a Reduced Genetic Algorithm for Real-Time Flood Control E. Vermuyten et al. 10.1061/(ASCE)WR.1943-5452.0000859
328. The relative impact of climate change and urban expansion on peak flows: a case study in central Belgium L. Poelmans et al. 10.1002/hyp.8047
329. A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate – accounting for changing watershed behavior R. Singh et al. 10.5194/hess-15-3591-2011
330. Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C. Prieto et al. 10.1029/2020WR028338