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29. Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments J. Bennett et al.
30. Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening P. Bai et al.
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32. Hydrological appraisal of rainfall estimates from radar, satellite, raingauge and satellite–gauge combination on the Qinhuai River Basin, China M. Abro et al.
33. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al.
34. Could operational hydrological models be made compatible with satellite soil moisture observations? L. Zhuo & D. Han
35. Influence of Climate Characteristics on Streamflow in the Murray–Darling Basin G. Fu et al.
36. Time scale dependent sensitivities of the XinAnJiang model parameters M. Lu & X. Li
37. Development of clustered polynomial chaos expansion model for stochastic hydrological prediction F. Wang et al.
38. Accounting for dependencies in regionalized signatures for predictions in ungauged catchments S. Almeida et al.
39. Hydrological evaluation of satellite and reanalysis precipitation products in the glacier-fed river basin (Gilgit) M. Abro et al.
40. Real-time forecasting of river water level in urban based on radar rainfall: A case study in Fuzhou City Y. Liu et al.
41. Indices for calibration data selection of the rainfall‐runoff model J. Liu & D. Han
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43. Testing the ability of a semidistributed hydrological model to simulate contributing area S. Mengistu & C. Spence
44. Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling S. Moustakas & P. Willems
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46. 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.
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49. A real-time flood forecasting system with dual updating of the NWP rainfall and the river flow J. Liu et al.
50. Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application P. Srivastava et al.
51. How can we model subsurface stormflow at the catchment scale if we cannot measure it? P. Chifflard et al.
52. Climate change and river flooding: part 1 classifying the sensitivity of British catchments C. Prudhomme et al.
53. 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.
54. Evidence and Implications of Nonlinear Flood Response in a Small Mountainous Watershed T. Kjeldsen et al.
55. The UKC2 regional coupled environmental prediction system H. Lewis et al.
56. The impact of the variability and periodicity of rainfall on surface water supply systems in Scotland M. Afzal et al.
57. When are multiobjective calibration trade‐offs in hydrologic models meaningful? J. Kollat et al.
58. Environmental Impact Assessment (EIA) of Effluents from Constructed Wetlands on Water Quality of Receiving Watercourses N. Donoso et al.
59. Combining information from multiple flood projections in a hierarchical Bayesian framework N. Le Vine
60. Eco‐Physiological Constraints of Deep Soil Desiccation in Semiarid Tree Plantations X. Shao et al.
61. Evaluating stochastic rainfall models for hydrological modelling T. Nguyen et al.
62. Predicting saturation‐excess runoff distribution with a lumped hillslope model: SWAT‐HS L. Hoang et al.
63. 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.
64. Long term simulations of macronutrients (C, N and P) in UK freshwaters V. Bell et al.
65. 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
66. Insights on the impact of systematic model errors on data assimilation performance in changing catchments S. Pathiraja et al.
67. A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis M. Pham et al.
68. Improving parameter priors for data-scarce estimation problems S. Almeida et al.
69. Regionalization of Hydrologic Behavior and Pothole Water Storage Dynamics in the Prairie Pothole Region J. Rahmani et al.
70. A flexible and efficient multi-model framework in support of water management V. Wolfs et al.
71. A comparison of hydrological impacts from two ensembles of regional climate projections with a range of climate sensitivities A. Kay
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73. Understanding the Value of Radar Rainfall Nowcasts in Flood Forecasting and Warning in Flashy Catchments M. Werner & M. Cranston
74. A dual-pass error-correction technique for forecasting streamflow T. Pagano et al.
75. Calculating potential evaporation from climate model data: A source of uncertainty for hydrological climate change impacts A. Kay & H. Davies
76. Effect of spatial variability and seasonality in soil moisture on drainage thresholds and fluxes in a conceptual hydrological model H. McMillan
77. On the correlation between precipitation and potential evapotranspiration climate change signals for hydrological impact analyses J. De Niel et al.
78. Are stochastic point rainfall models able to preserve extreme flood statistics? N. Verhoest et al.
79. Intercomparison of hydrological model structures and calibration approaches in climate scenario impact projections T. Vansteenkiste et al.
80. Evaluation of Data-Driven and Process-Based Real-Time Flow Forecasting Techniques for Informing Operation of Surface Water Abstraction M. Yassin et al.
81. Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE W. Abera et al.
82. Stochastic rainfall-runoff model with explicit soil moisture dynamics M. Bartlett et al.
83. Implications of the New Operational Rules for Cantareira Water System: Re-Reading the 2014-2016 Water Crisis K. Deusdará-Leal et al.
84. Exploiting the Topographic Information in a PDM-Based Conceptual Hydrological Model L. Noto
85. TOPMELT 1.0: a topography-based distribution function approach to snowmelt simulation for hydrological modelling at basin scale M. Zaramella et al.
86. Analysis of the global warming dynamics from temperature time series F. Viola et al.
87. DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al.
88. Restoring a glacier‐fed river: Past and present morphodynamics of a degraded channel in the Italian Alps V. Scorpio et al.
89. On the importance of soil moisture in calibration of rainfall–runoff models: two case studies M. Shahrban et al.
90. Understanding the national performance of flood forecasting models to guide incident management and investment S. Wells et al.
91. The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales L. Yao et al.
92. Transmission loss estimation for ephemeral sand rivers in Southern Africa S. Mathias et al.
93. Floods in a Changing Climate T. Andersen & J. Marshall Shepherd
94. The Influence of Model Structure Uncertainty on Water Quality Assessment T. Nguyen & P. Willems
95. BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia C. Su et al.
96. The impact of climate change on U. K. river flows: A preliminary comparison of two generations of probabilistic climate projections A. Kay et al.
97. Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements M. Li et al.
98. Implications of event-based loss model structure on simulating large floods D. O'Shea et al.
99. Updating inflow forecasts using empirical statistical matching for real-time prediction of daily net inflows to Okanagan Lake B. Ma et al.
100. Review of trend analysis and climate change projections of extreme precipitation and floods in Europe H. Madsen et al.
101. Using UKCP09 probabilistic climate information for UK water resource planning B. Christierson et al.
102. 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.
103. A fractional factorial probabilistic collocation method for uncertainty propagation of hydrologic model parameters in a reduced dimensional space S. Wang et al.
104. A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model X. Chen et al.
105. Rethinking land-use Strategies: A multi-objective analysis of combined sparing and sharing approaches applied across great britain I. El Fartassi et al.
106. Development of a copula‐based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence Y. Fan et al.
107. The effect of climate policy on the impacts of climate change on river flows in the UK N. Arnell et al.
108. Implementing a parsimonious variable contributing area algorithm for the prairie pothole region in the HYPE modelling framework M. Ahmed et al.
109. 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.
110. Spatial variability of hydrological processes and model structure diagnostics in a 50 km2catchment H. McMillan et al.
111. 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.
112. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al.
113. Catchment-scale non-linear groundwater-surface water interactions in densely drained lowland catchments Y. van der Velde et al.
114. Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling E. Jeremiah et al.
115. On the relationship between flood and contributing area C. Spence & S. Mengistu
116. 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.
117. 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.
118. Hydrological response to climate change in a glacierized catchment in eastern Tien Shan, Central Asia Y. Jia et al.
119. 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.
120. Towards an improved land surface scheme for prairie landscapes M. Mekonnen et al.
121. Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al.
122. 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.
123. Comparison of ensemble data assimilation methods for the estimation of time-varying soil hydraulic parameters K. Liu et al.
124. Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations N. Nanding et al.
125. A regional coupled approach to water cycle prediction during winter 2013/14 in the United Kingdom H. Lewis & S. Dadson
126. Exploring the Implications of Modeling Choices on Prediction of Irrigation Water Savings C. Eluwa et al.
127. Evaluation of different parameterizations of the spatial heterogeneity of subsurface storage capacity for hourly runoff simulation in boreal mountainous watershed T. Hailegeorgis et al.
128. Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin M. Abro et al.
129. Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation S. Wang et al.
130. Improved hydrologic modeling for depression-dominated areas L. Zeng et al.
131. Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya M. Wanzala et al.
132. An integrated probabilistic assessment to analyse stochasticity of soil erosion in different restoration vegetation types J. Zhou et al.
133. Urban waterlogging disaster risk evaluation framework based on complex network and agent-based model: a case study of Zhengzhou, China J. Xu et al.
134. Towards Operational Flood Monitoring in Flanders Using Sentinel-1 L. Landuyt et al.
135. An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation Y. Sawada
136. The Numerical Formulation of Simple Hysteretic Models to Simulate the Large‐Scale Hydrological Impacts of Prairie Depressions M. Clark & K. Shook
137. An assessment of DBM flood forecasting models M. Vaughan & N. McIntyre
138. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al.
139. How might climate change affect river flows across West Africa? P. Rameshwaran et al.
140. Evaluating Satellite Precipitation Error Propagation in Runoff Simulations of Mountainous Basins Y. Mei et al.
141. Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment P. Najmaddin et al.
142. Sensitivity and uncertainty analysis of mesoscale model downscaled hydro-meteorological variables for discharge prediction P. Srivastava et al.
143. Probabilistic Conditioning and Recalibration of an Event-Based Flood Forecasting Model Using Real-Time Streamflow Observations K. Bahramian et al.
144. Use of Flood Seasonality in Pooling‐Group Formation and Quantile Estimation: An Application in Great Britain G. Formetta et al.
145. Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al.
146. Hydrological performance of ERA5 land in the data-scarce Himalayan region of the Langtang catchment A. Devkota et al.
147. Evaluation of a grid-based river flow model configured for use in a regional climate model S. Dadson et al.
148. Comparison of the use of alternative UKCP09 products for modelling the impacts of climate change on flood frequency A. Kay & R. Jones
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150. Specifying a hierarchical mixture of experts for hydrologic modeling: Gating function variable selection E. Jeremiah et al.
151. Assessing the power of non-parametric data-driven approaches to analyse the impact of drought measures J. De Meester & P. Willems
152. A study of non-linearity in rainfall-runoff response using 120 UK catchments S. Mathias et al.
153. 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.
154. Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al.
155. Exploring parsimonious daily rainfall-runoff model structure using the hyperbolic tangent function and Tank model J. Song et al.
156. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al.
157. An Upscaled Model of Fill‐And‐Spill Hydrological Response M. Taheri et al.
158. Improving the representation of groundwater processes in a large-scale water resources model H. Baron et al.
159. Process-based karst modelling to relate hydrodynamic and hydrochemical characteristics to system properties A. Hartmann et al.
160. Uncertainty in a Lumped and a Semi-Distributed Model for Discharge Prediction in Ghatshila Catchment A. Yaduvanshi et al.
161. Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales) A. Weerts et al.
162. Investigating capabilities of machine learning techniques in forecasting stream flow S. Kabir et al.
163. 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.
164. NUMERICAL EXPERIMENTS TO CALIBRATE A HYDROLOGICAL MODEL BASED ON STREAMFLOW SIGNATURES AND HYDROLOGICAL TIME SERIES DATA R. ARAI et al.
165. Physics-informed deep learning for hillslope subsurface flow prediction: integrating soil moisture deficit constraints X. Han et al.
166. Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework M. Stergiadi et al.
167. River flow prediction through rainfall–runoff modelling with a probability-distributed model (PDM) in Flanders, Belgium P. Cabus
168. High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM L. Sidek et al.
169. A practical approach to the assessment of probabilistic flow predictions S. Liguori & M. Rico‐Ramirez
170. Runoff Prediction of Tunxi Basin under Projected Climate Changes Based on Lumped Hydrological Models with Various Model Parameter Optimization Strategies B. Yan et al.
171. Multi-model integration framework for monthly runoff prediction based on variational mode decomposition (VMD) and trend-based modeling S. Wang et al.
172. Detection of structural inadequacy in process‐based hydrological models: A particle‐filtering approach P. Smith et al.
173. Normalized Antecedent Precipitation Index Based Model for Prediction of Runoff from Un-Gauged Catchments N. Ghosh et al.
174. A top-down framework for watershed model evaluation and selection under uncertainty Y. Bai et al.
175. Remote sensing, hydrological modeling and in situ observations in snow cover research: A review C. Dong
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177. 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.
178. Extreme precipitation events induce high fluxes of groundwater and associated nutrients to coastal ocean M. Diego-Feliu et al.
179. 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.
180. Copula‐Based Convection‐Permitting Projections of Future Changes in Multivariate Drought Characteristics B. Zhang et al.
181. Hydrologic modeling in dynamic catchments: A data assimilation approach S. Pathiraja et al.
182. HESS Opinions: Are soils overrated in hydrology? H. Gao et al.
183. Influence of Hydrological Model Selection on Simulation of Moderate and Extreme Flow Events: A Case Study of the Blue Nile Basin C. Onyutha
184. Understanding the impacts of catchment characteristics on the shape of the storage capacity curve and its influence on flood flows H. Gao et al.
185. On the development and analysis of coupled surface–subsurface models of catchments. Part 3. Analytical solutions and scaling laws P. Morawiecki & P. Trinh
186. Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al.
187. 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.
188. Neural network modelling of non-linear hydrological relationships R. Abrahart & L. See
189. 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.
190. Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem P. Rokaya et al.
191. Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al.
192. Benchmarking ensemble streamflow prediction skill in the UK S. Harrigan et al.
193. Misrepresentation and amendment of soil moisture in conceptual hydrological modelling L. Zhuo & D. Han
194. Error Analysis of Satellite Precipitation-Driven Modeling of Flood Events in Complex Alpine Terrain Y. Mei et al.
195. A stochastic design rainfall generator based on copulas and mass curves S. Vandenberghe et al.
196. Reference Evapotranspiration Retrievals from a Mesoscale Model Based Weather Variables for Soil Moisture Deficit Estimation P. Srivastava et al.
197. A historical perspective on modelling the relationship between catchment wetness and streamflow response F. Fenicia et al.
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199. Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-Scale Satellite Data P. Baguis & E. Roulin
200. Season‐based rainfall–runoff modelling using the probability‐distributed model (PDM) for large basins in southeastern Brazil R. Zhang et al.
201. Real-Time River Flood Control under Historical and Future Climatic Conditions: Flanders Case Study E. Vermuyten et al.
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205. Impact of Climate Change on Combined Solar and Run-of-River Power in Northern Italy B. François et al.
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210. 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.
211. Assessing the Integration of Wetlands along Small European Waterways to Address Diffuse Nitrate Pollution N. Donoso et al.
212. Investigating uniqueness and identifiability in auto-calibration of the ARNO daily rainfall-runoff model using the PSO algorithm N. Ensaniyat et al.
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240. Climate-change potential effects on the hydrological regime of freshwater springs in the Italian Northern Apennines F. Cervi et al.
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258. The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3 M. Bush et al.
259. Future hot-spots for hydro-hazards in Great Britain: a probabilistic assessment L. Collet et al.
260. Comparing Large-Scale Hydrological Model Simulations to Observed Runoff Percentiles in Europe L. Gudmundsson et al.
261. A theoretical appraisal of the GR4J rainfall-runoff modelling framework S. Mathias et al.
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263. How will climate change affect the spatial coherence of streamflow and groundwater droughts in Great Britain? M. Tanguy et al.
264. Assessment of the indirect calibration of a rainfall-runoff model for ungauged catchments in Flanders N. De Vleeschouwer & V. Pauwels
265. Assessing the integrity of soil erosion in different patch covers in semi-arid environment J. Zhou et al.
266. Scale Dependence of Errors in Snow Water Equivalent Simulations Using ERA5 Reanalysis over Alpine Basins S. Shrestha et al.
267. Hydrological design in the HELPING decade – inspiring the community to innovate the hydrological design concept S. Fischer et al.
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269. Parameter Uncertainties in a Conceptual Rainfall-runoff Model and Implications on Surface Water Management and Planning Decisions A. Asfaw et al.
270. Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation S. Pathiraja et al.
271. 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.
272. Hypothetico‐inductive data‐based mechanistic modeling of hydrological systems P. Young
273. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C. Restrepo-Estrada et al.
274. Convection-permitting models for managing hydrological extremes: practical, innovative examples M. Dale & K. Shelton
275. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al.
276. Hydrologic model calibration approaches for highly regulated river basin: A comprehensive assessment M. Sheikh & P. Coulibaly
277. Calibrating hydrologic models in flow-corrected time T. Smith et al.
278. Regionalisation of a PDM Model for Catchment Runoff in a Mountainous Region of Korea H. Chang et al.
279. A distributed Grid-Xinanjiang model with integration of subgrid variability of soil storage capacity W. Guo et al.
280. Application of Remote-Sensing-Based Hydraulic Model and Hydrological Model in Flood Simulation C. Xu et al.
281. Coupling urban expansion models and hydrological models: How important are spatial patterns? L. Poelmans et al.
282. 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.
283. Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al.
284. Storm characteristics dictate sediment dynamics and geomorphic changes in mountain channels: A case study in the Italian Alps V. Scorpio et al.
285. 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.
286. Hydrological modelling using raingauge- and radar-based estimators of areal rainfall S. Cole & R. Moore
287. Estimating the index flood with continuous hydrological models: an application in Great Britain G. Formetta et al.
288. Impact of seasonal changes in vegetation on the river model prediction accuracy and real‐time flood control performance E. Vermuyten et al.
289. Assessing flood risk in Baiyangdian Lake area in a changing climate using an integrated hydrological-hydrodynamic modelling Y. Wang et al.
290. Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction Y. Shen et al.
291. Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models J. Zaherpour et al.
292. Estimating design flood runoff volume G. Vesuviano et al.
293. Evolution of overland flow connectivity in bare agricultural plots A. Peñuela et al.
294. Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior J. Herman et al.
295. 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.
296. Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution B. Mekonnen et al.
297. Assessment of urban flood risk based on data-driven models: A case study in Fuzhou City, China C. Ye et al.
298. 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.
299. Use of a grid‐based hydrological model and regional climate model outputs to assess changing flood risk V. Bell et al.
300. Use of high‐resolution NWP rainfall and river flow forecasts for advance warning of the Carlisle flood, north‐west England N. Roberts et al.
301. Concepts and applications of the Flanders Hydrological Model environment T. Vansteenkiste et al.
302. Use of Abstraction and Discharge Data to Improve the Performance of a National‐Scale Hydrological Model P. Rameshwaran et al.
303. Are moments of rainfall spatial variability useful for runoff modelling in operational hydrology? G. Giani et al.
304. Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications J. Vrugt et al.
305. On selection of the optimal data time interval for real-time hydrological forecasting J. Liu & D. Han
306. Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response M. Bartlett et al.
307. Accounting for soil moisture in rainfall-runoff modelling of urban areas J. Fidal & T. Kjeldsen
308. Examining dynamic interactions among experimental factors influencing hydrologic data assimilation with the ensemble Kalman filter S. Wang et al.
309. DBv2: an improved climate-centric calibration-free model for runoff-generation simulation P. Istalkar & B. Biswal
310. Rainfall–runoff modelling in a tropical climate (Citarum basin, West Java, Indonesia): Model and climate data intercomparison G. Vesuviano et al.
311. Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al.
312. Improving the representation of the non-contributing area dynamics in land surface models for better simulation of prairie hydrology M. Ahmed et al.
313. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset J. Schellekens et al.
314. Advances in Land Surface Modelling E. Blyth et al.
315. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach R. Singh et al.
316. Bayesian conditioning of a rainfall‐runoff model for predicting flows in ungauged catchments and under land use changes N. Bulygina et al.
317. The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK I. Pechlivanidis et al.
318. Rethinking data‐driven decision support in flood risk management for a big data age R. Towe et al.
319. The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18 J. Hannaford et al.
320. Monthly versus daily water balance models in simulating monthly runoff Q. Wang et al.
321. Hydrological Model Supported by a Step-Wise Calibration against Sub-Flows and Validation of Extreme Flow Events C. Onyutha
322. Representing radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approach F. Cecinati et al.
323. The impacts of assimilating satellite soil moisture into a rainfall–runoff model in a semi-arid catchment C. Alvarez-Garreton et al.
324. Distributed hydrological modelling using weather radar in gauged and ungauged basins S. Cole & R. Moore
325. Comparison of uncertainty sources for climate change impacts: flood frequency in England A. Kay et al.
326. Radar products for hydrological applications in the UK D. Harrison et al.
327. Challenges of modelling climate change impacts on hydrology and water resources: AI is the game changer—a review C. Onyutha
328. Impact of spring freshet flooding and summer rainfall flooding on the water quality of an alpine barrier lake C. Li et al.
329. Comparing novel backward hydrological models for watershed-scale precipitation estimation: an evaluation of inverted PDM and Kirchner-hybrid structures P. Dastjerdi & M. Nasseri
330. Estimating river discharge from rainfall satellite data through simple statistical models P. Birocchi et al.
331. Spatially Distributed Conceptual Hydrological Model Building: A Generic Top‐Down Approach Starting From Lumped Models Q. Tran et al.
332. Estimation of ‘drainable’ storage – A geomorphological approach B. Biswal & D. Nagesh Kumar
333. A multi-hydrological model ensemble prediction uncertainty estimation (e-PRUNE) framework C. Onyutha
334. Operational use of a grid-based model for flood forecasting D. Price et al.
335. A System for Continuous Hydrological Ensemble Forecasting (SCHEF) to lead times of 9 days J. Bennett et al.
336. Assessment of SMOS soil moisture retrieval parameters using tau–omega algorithms for soil moisture deficit estimation P. Srivastava et al.
337. Understanding the role of hydrologic model structures on evapotranspiration-driven sensitivity D. Jayathilake & T. Smith
338. Internal validation of conceptual rainfall–runoff models using baseflow separation B. Ferket et al.
339. Model Conceptualization Procedure for River (Flood) Hydraulic Computations: Case Study of the Demer River, Belgium P. Chiang & P. Willems
340. A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain M. Kiraz et al.
341. Characteristics and controls of variability in soil moisture and groundwater in a headwater catchment H. McMillan & M. Srinivasan
342. A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al.
343. Combining Model Predictive Control with a Reduced Genetic Algorithm for Real-Time Flood Control E. Vermuyten et al.
344. The relative impact of climate change and urban expansion on peak flows: a case study in central Belgium L. Poelmans et al.
345. A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate – accounting for changing watershed behavior R. Singh et al.
346. Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C. Prieto et al.