208 citations as recorded by crossref.

1. The Skill of Probabilistic Precipitation Forecasts under Observational Uncertainties within the Generalized Likelihood Uncertainty Estimation Framework for Hydrological Applications F. Pappenberger et al. 10.1175/2008JHM956.1
2. Real-Time Forecast of Reservoir Inflow Hydrographs Incorporating Terrain and Monsoon Effects during Typhoon Invasion by Novel Intelligent Numerical-Statistic Impulse Techniques N. Hsu et al. 10.1061/(ASCE)HE.1943-5584.0001142
3. Explicit Expression of Weighting Factor for Improved Estimation of Numerical Flux in Local Inertial Models B. Sridharan et al. 10.1029/2020WR027357
4. Conceptualization in catchment modelling: simply learning? S. Dunn et al. 10.1002/hyp.7070
5. Ability to Forecast Regional Soil Moisture with a Distributed Hydrological Model Using ECMWF Rainfall Forecasts J. Schuurmans & M. Bierkens 10.1175/2008JHM1035.1
6. Use of ACRU, a distributed hydrological model, to evaluate how errors from downscaled rainfall are propagated in simulated runoff in uMngeni catchment, South Africa S. Kusangaya et al. 10.1080/02626667.2017.1349317
7. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
8. A non-parametric data-based approach for probabilistic flood forecasting in support of uncertainty communication N. Van Steenbergen et al. 10.1016/j.envsoft.2012.01.013
9. A first large-scale flood inundation forecasting model G. Schumann et al. 10.1002/wrcr.20521
10. Propagation of uncertainties in coupled hydro-meteorological forecasting systems: A stochastic approach for the assessment of the total predictive uncertainty R. Hostache et al. 10.1016/j.atmosres.2010.09.014
11. A metric for attributing variability in modelled streamflows S. Shoaib et al. 10.1016/j.jhydrol.2016.08.050
12. Modular conceptual modelling approach and software for river hydraulic simulations V. Wolfs et al. 10.1016/j.envsoft.2015.05.010
13. The adaptability of typical precipitation ensemble prediction systems in the Huaihe River basin, China H. Wang et al. 10.1007/s00477-020-01923-9
14. Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations H. Hooker et al. 10.5194/nhess-23-2769-2023
15. Flood inundation model updating using an ensemble Kalman filter and spatially distributed measurements J. Neal et al. 10.1016/j.jhydrol.2007.01.012
16. Urban and river flooding: Comparison of flood risk management approaches in the UK and China and an assessment of future knowledge needs M. Rubinato et al. 10.1016/j.wse.2019.12.004
17. A retrospective streamflow ensemble forecast for an extreme hydrologic event: a case study of Hurricane Irene and on the Hudson River basin F. Saleh et al. 10.5194/hess-20-2649-2016
18. Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction A. Jabbari & D. Bae 10.3390/atmos11030300
19. Modelling outburst floods from moraine-dammed glacial lakes M. Westoby et al. 10.1016/j.earscirev.2014.03.009
20. Development of a Hydrological Ensemble Prediction System to Assist with Decision-Making for Floods during Typhoons S. Yang et al. 10.3390/su12104258
21. Local-inertial shallow water model on unstructured triangular grids B. Sridharan et al. 10.1016/j.advwatres.2021.103930
22. A staggered approach to flash flood forecasting – case study in the Cévennes region L. Alfieri et al. 10.5194/adgeo-29-13-2011
23. Global sensitivity analysis of parameter uncertainty in landscape evolution models C. Skinner et al. 10.5194/gmd-11-4873-2018
24. The monetary benefit of early flood warnings in Europe F. Pappenberger et al. 10.1016/j.envsci.2015.04.016
25. Dağlık Havzalarda Uydu Kar Verisi ve Dalgacık Sinir Ağı Tabanlı Olasılıklı Akım Modelleme Yaklaşımı G. UYSAL & A. SENSOY 10.17482/uumfd.787147
26. Accounting for model structure, parameter and input forcing uncertainty in flood inundation modeling using Bayesian model averaging Z. Liu & V. Merwade 10.1016/j.jhydrol.2018.08.009
27. Long lead time flood warnings: reality or fantasy? B. Golding 10.1002/met.123
28. Climate change and fluvial flood risk in the UK: more of the same? R. Wilby et al. 10.1002/hyp.6847
29. Identification of Combined Hydrological Models and Numerical Weather Predictions for Enhanced Flood Forecasting in a Semiurban Watershed F. Awol et al. 10.1061/(ASCE)HE.1943-5584.0002018
30. The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems A. Rossa et al. 10.1016/j.atmosres.2010.11.016
31. Estimation of freshwater discharge from the Kamchatka Peninsula to its surrounding oceans M. Shi et al. 10.1016/j.ejrh.2021.100836
32. An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 2: The added value from climate forecast models X. Yuan 10.5194/hess-20-2453-2016
33. Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India U. Vegad & V. Mishra 10.5194/hess-26-6361-2022
34. Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 1. Experimental design and forcing verification J. Brown et al. 10.1016/j.jhydrol.2014.05.028
35. Extreme flood modeling and mechanism over Crisul Alb basin in Romania M. Caian et al. 10.1016/j.catena.2020.104923
36. Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda 10.3390/w13091224
37. Hydrological aspects of meteorological verification F. Pappenberger et al. 10.1002/asl.171
38. Real-time flood forecasting by relating local stage and remote discharge S. Barbetta & T. Moramarco 10.1080/02626667.2014.884717
39. End‐to‐end flood risk assessment: A coupled model cascade with uncertainty estimation H. McMillan & J. Brasington 10.1029/2007WR005995
40. Current awareness 10.1002/hyp.6195
41. Comparing Hydrological Postprocessors Including Ensemble Predictions Into Full Predictive Probability Distribution of Streamflow D. Biondi & E. Todini 10.1029/2017WR022432
42. A review on climate‐model‐based seasonal hydrologic forecasting: physical understanding and system development X. Yuan et al. 10.1002/wat2.1088
43. Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures H. Cloke & F. Pappenberger 10.1002/met.58
44. Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation M. Ivković et al. 10.2166/hydro.2018.053
45. Ensemble dressing for hydrological applications T. Pagano et al. 10.1002/hyp.9313
46. An emergency response‐type rainfall‐runoff‐inundation simulation for 2011 Thailand floods T. Sayama et al. 10.1111/jfr3.12147
47. The transformation of earth‐system observations into information of socio‐economic value in GEOSS A. Hollingsworth et al. 10.1256/qj.05.181
48. A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling P. Bates et al. 10.1016/j.jhydrol.2010.03.027
49. A two-stage method of quantitative flood risk analysis for reservoir real-time operation using ensemble-based hydrologic forecasts P. Liu et al. 10.1007/s00477-014-0986-0
50. A meteo-hydrological modelling system for the reconstruction of river runoff: the case of the Ofanto river catchment G. Verri et al. 10.5194/nhess-17-1741-2017
51. Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al. 10.1175/JHM-D-14-0193.1
52. Development of decision support products based on ensemble forecasts in the European flood alert system M. Ramos et al. 10.1002/asl.161
53. Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 2: Generalization in time and space D. Brochero et al. 10.5194/hess-15-3327-2011
54. Uncertainty in hydromorphological and ecological modelling of lowland river floodplains resulting from land cover classification errors M. Straatsma et al. 10.1016/j.envsoft.2012.11.014
55. Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
56. The potential of coordinated reservoir operation for flood mitigation in large basins – A case study on the Bavarian Danube using coupled hydrological–hydrodynamic models S. Seibert et al. 10.1016/j.jhydrol.2014.06.048
57. Reconceptualising flood risk assessment by incorporating sediment supply H. Liu et al. 10.1016/j.catena.2022.106503
58. Uncertainty in 2D hydrodynamic models from errors in roughness parameterization based on aerial images M. Straatsma & F. Huthoff 10.1016/j.pce.2011.02.009
59. Seasonal forecasting of groundwater levels in principal aquifers of the United Kingdom J. Mackay et al. 10.1016/j.jhydrol.2015.10.018
60. Flood Inundation Modeling by Integrating HEC–RAS and Satellite Imagery: A Case Study of the Indus River Basin M. Afzal et al. 10.3390/w14192984
61. Ensemble flood forecasting in Africa: a feasibility study in the Juba–Shabelle river basin V. Thiemig et al. 10.1002/asl.266
62. Comparison of different quantile regression methods to estimate predictive hydrological uncertainty in the Upper Chao Phraya River Basin, Thailand S. Acharya et al. 10.1111/jfr3.12585
63. Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. 10.1016/j.jhydrol.2016.02.019
64. Skew-normal distribution model for rainfall uncertainty estimation in a distributed hydrological model F. Salgado-Castillo et al. 10.1080/02626667.2023.2185149
65. Value of Medium-range Precipitation Forecasts in Inflow Prediction and Hydropower Optimization G. Tang et al. 10.1007/s11269-010-9576-1
66. Ensemble flood forecasting: A review H. Cloke & F. Pappenberger 10.1016/j.jhydrol.2009.06.005
67. Dealing with Uncertainty in Water Distribution System Models: A Framework for Real-Time Modeling and Data Assimilation C. Hutton et al. 10.1061/(ASCE)WR.1943-5452.0000325
68. A systematic review of sensitivities in the Swedish flood-forecasting system B. Arheimer et al. 10.1016/j.atmosres.2010.09.013
69. Future hydrology and climate in the River Nile basin: a review G. Di Baldassarre et al. 10.1080/02626667.2011.557378
70. The use of MOGREPS ensemble rainfall forecasts in operational flood forecasting systems across England and Wales J. Schellekens et al. 10.5194/adgeo-29-77-2011
71. Evaluation of ECMWF medium‐range ensemble forecasts of precipitation for river basins J. Ye et al. 10.1002/qj.2243
72. New dimensions in early flood warning across the globe using grand‐ensemble weather predictions F. Pappenberger et al. 10.1029/2008GL033837
73. Flood forecasting in Niger-Benue basin using satellite and quantitative precipitation forecast data A. Haile et al. 10.1016/j.jag.2016.06.021
74. The impact of lake and reservoir parameterization on global streamflow simulation Z. Zajac et al. 10.1016/j.jhydrol.2017.03.022
75. From Global to Local: Providing Actionable Flood Forecast Information in a Cloud‐Based Computing Environment J. Perez et al. 10.1111/1752-1688.12392
76. Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance S. Hsu et al. 10.3390/s19040825
77. Hydrometeorological multi-model ensemble simulations of the 4 November 2011 flash flood event in Genoa, Italy, in the framework of the DRIHM project A. Hally et al. 10.5194/nhess-15-537-2015
78. Ensemble Bayesian forecasting system Part I: Theory and algorithms H. Herr & R. Krzysztofowicz 10.1016/j.jhydrol.2014.11.072
79. Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations B. Wang et al. 10.1016/j.ast.2023.108843
80. Long-term ensemble forecast of snowmelt runoff with the help of the physics-based models of runoff generation L. Kuchment & A. Gel’fan 10.3103/S1068373907020070
81. Multi-parametric variational data assimilation for hydrological forecasting R. Alvarado-Montero et al. 10.1016/j.advwatres.2017.09.026
82. Propagation of uncertainty from observing systems and NWP into hydrological models: COST‐731 Working Group 2 M. Zappa et al. 10.1002/asl.248
83. Do probabilistic forecasts lead to better decisions? M. Ramos et al. 10.5194/hess-17-2219-2013
84. Localizing Hydrological Drought Early Warning Using In Situ Groundwater Sensors W. Veness et al. 10.1029/2022WR032165
85. Operational use of a grid-based model for flood forecasting D. Price et al. 10.1680/wama.2012.165.2.65
86. Proficient 3-class classification model for confident overlap value based fuzzified aquatic information extracted tsunami prediction N. Jain et al. 10.3233/IDT-180003
87. ENSEMBLE FLOOD PREDICTION BY CASCADING THE UNCERTAINTY FROM RAINFALL TO RUNOFF SHORT-TERM PREDICTION R. HAPSARI et al. 10.2208/jscejhe.68.I_139
88. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
89. Evaluation and calibration of operational hydrological ensemble forecasts in Sweden J. Olsson & G. Lindström 10.1016/j.jhydrol.2007.11.010
90. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al. 10.3390/w15091693
91. Superposition of three sources of uncertainties in operational flood forecasting chains M. Zappa et al. 10.1016/j.atmosres.2010.12.005
92. Rainfall–runoff, flood inundation and sensitivity analysis of the 2014 Pakistan flood in the Jhelum and Chenab river basin M. Siddiqui et al. 10.1080/02626667.2018.1546049
93. A review of the current status of flood modelling for urban flood risk management in the developing countries U. Nkwunonwo et al. 10.1016/j.sciaf.2020.e00269
94. An Error Model for Uncertainty Quantification in High-Time-Resolution Precipitation Products V. Maggioni et al. 10.1175/JHM-D-13-0112.1
95. A flood episode in northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions S. Davolio et al. 10.5194/hess-17-2107-2013
96. The Effect of Large-Scale Atmospheric Uncertainty on Streamflow Predictability D. Hou et al. 10.1175/2008JHM1064.1
97. Value of medium range weather forecasts in the improvement of seasonal hydrologic prediction skill S. Shukla et al. 10.5194/hess-16-2825-2012
98. Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting P. Abbaszadeh et al. 10.1016/j.isci.2022.105201
99. Monthly‐, medium‐, and short‐range flood warning: testing the limits of predictability J. Thielen et al. 10.1002/met.140
100. A gradient-enhanced univariate dimension reduction method for uncertainty propagation B. Wang et al. 10.1016/j.ast.2024.109602
101. Propagation of hydro-meteorological uncertainty in a model cascade framework to inundation prediction J. Rodríguez-Rincón et al. 10.5194/hess-19-2981-2015
102. Investigating the Applicability of Error Correction Ensembles of Satellite Rainfall Products in River Flow Simulations V. Maggioni et al. 10.1175/JHM-D-12-074.1
103. An experiment with reflective middleware to support grid‐based flood monitoring D. Hughes et al. 10.1002/cpe.1279
104. Effects of temperature on flood forecasting: analysis of an operative case study in Alpine basins A. Ceppi et al. 10.5194/nhess-13-1051-2013
105. Uncertainty in Flood Wave Routing in a Lateral-Inflow-Dominated Stream W. Scharffenberg & M. Kavvas 10.1061/(ASCE)HE.1943-5584.0000298
106. A data-driven global flood forecasting system for medium to large rivers W. Palash et al. 10.1038/s41598-024-59145-w
107. Skill and relative economic value of medium-range hydrological ensemble predictions E. Roulin 10.5194/hess-11-725-2007
108. Potential application of hydrological ensemble prediction in forecasting floods and its components over the Yarlung Zangbo River basin, China L. Liu et al. 10.5194/hess-23-3335-2019
109. Real-time demonstration of hydrological ensemble forecasts in map d-phase R. Ranzi et al. 10.1051/lhb/2009061
110. Estimating Ensemble Flood Forecasts’ Uncertainty: A Novel “Peak-Box” Approach for Detecting Multiple Peak-Flow Events A. Giordani et al. 10.3390/atmos11010002
111. On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes K. Beven et al. 10.1002/hyp.14703
112. Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al. 10.5194/hess-26-197-2022
113. Hydrological aspects of the Mesoscale Alpine Programme: findings from field experiments and simulations R. Ranzi et al. 10.1002/qj.68
114. Integrated Modeling Approach for the Development of Climate-Informed, Actionable Information D. Judi et al. 10.3390/w10060775
115. Influence of uncertain boundary conditions and model structure on flood inundation predictions F. Pappenberger et al. 10.1016/j.advwatres.2005.11.012
116. A new algorithm for seasonal precipitation forecast based on global atmospheric hydrological water budget Y. Wu & G. Feng 10.1016/j.amc.2015.06.059
117. Overlooking probabilistic mapping renders urban flood risk management inequitable J. Bodoque et al. 10.1038/s43247-023-00940-0
118. Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting V. Ivanov et al. 10.1029/2021GL093585
119. A Streamflow and Water Level Forecasting Model for the Ganges, Brahmaputra, and Meghna Rivers with Requisite Simplicity W. Palash et al. 10.1175/JHM-D-16-0202.1
120. The impact of weather forecast improvements on large scale hydrology: analysing a decade of forecasts of the European Flood Alert System F. Pappenberger et al. 10.1002/hyp.7772
121. A multi-scale ensemble-based framework for forecasting compound coastal-riverine flooding: The Hackensack-Passaic watershed and Newark Bay F. Saleh et al. 10.1016/j.advwatres.2017.10.026
122. Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River B. van Osnabrugge et al. 10.5194/hess-23-1453-2019
123. Early flood warning in the Itajaí-Açu River basin using numerical weather forecasting and hydrological modeling L. Casagrande et al. 10.1007/s11069-017-2889-0
124. An Approach Using a 1D Hydraulic Model, Landsat Imaging and Generalized Likelihood Uncertainty Estimation for an Approximation of Flood Discharge Y. Jung et al. 10.3390/w5041598
125. Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö. Baydaroğlu & I. Demir 10.2166/hydro.2024.235
126. Skill of ensemble flood inundation forecasts at short- to medium-range timescales M. Gomez et al. 10.1016/j.jhydrol.2018.10.063
127. Evaluating SWAT model performance, considering different soils data input, to quantify actual and future runoff susceptibility in a highly urbanized basin G. Busico et al. 10.1016/j.jenvman.2020.110625
128. Real-time probabilistic forecasting of flood stages S. Chen & P. Yu 10.1016/j.jhydrol.2007.04.008
129. Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model S. Afshari et al. 10.1016/j.jhydrol.2017.11.036
130. Hydrological ensemble forecasting in mesoscale catchments: Sensitivity to initial conditions and value of reforecasts F. Fundel & M. Zappa 10.1029/2010WR009996
131. Assessment of flood forecasting lead time based on generalized likelihood uncertainty estimation approach A. Heidari et al. 10.1007/s00477-006-0032-y
132. An integrated approach to streamflow estimation and flood inundation mapping using VIC, RAPID and LISFLOOD-FP S. Nandi & M. Reddy 10.1016/j.jhydrol.2022.127842
133. Evaluation of uncertainty in capturing the spatial variability and magnitudes of extreme hydrological events for the uMngeni catchment, South Africa S. Kusangaya et al. 10.1016/j.jhydrol.2018.01.017
134. Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept C. Di Mauro​​​​​​​ et al. 10.5194/hess-25-4081-2021
135. High temporal resolution rainfall–runoff modeling using long-short-term-memory (LSTM) networks W. Li et al. 10.1007/s00521-020-05010-6
136. Early flood warnings from empirical (expanded) downscaling of the full ECMWF Ensemble Prediction System G. Bürger et al. 10.1029/2009WR007779
137. Characterizing Climate Model Uncertainty Using an Informal Bayesian Framework: Application to the River Nile M. Elshamy et al. 10.1061/(ASCE)HE.1943-5584.0000656
138. Past, present and future of the applications of machine learning in soil science and hydrology X. Wang et al. 10.17221/94/2022-SWR
139. Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model N. Attar et al. 10.3390/app10020571
140. A probabilistic framework for floodplain mapping using hydrological modeling and unsteady hydraulic modeling E. Ahmadisharaf et al. 10.1080/02626667.2018.1525615
141. Understanding and enhancing the public's behavioural response to flood warning information D. Parker et al. 10.1002/met.119
142. Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin T. Sayama et al. 10.1080/02626667.2011.644245
143. The Use of Satellite Image for Uncertainty Analysis in Flood Inundation Mapping Y. Jung et al. 10.12652/Ksce.2013.33.2.549
144. The impact of different rainfall products on landscape modelling simulations C. Skinner et al. 10.1002/esp.4894
145. Extended-Range Runoff Forecasting Using a One-Way Coupled Climate–Hydrological Model: Case Studies of the Yiluo and Beijiang Rivers in China L. Liu et al. 10.3390/w11061150
146. Informing operational flood management with ensemble predictions: lessons from Sweden S. Nobert et al. 10.1111/j.1753-318X.2009.01056.x
147. Forecast communication through the newspaper Part 2: perceptions of uncertainty A. Harris 10.1007/s00445-015-0902-6
148. A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy R. Ferretti et al. 10.5194/hess-24-3135-2020
149. Uncertainty in hydrologic modelling for estimating hydrologic response due to climate change (Santiam River, Oregon) C. Surfleet & D. Tullos 10.1002/hyp.9485
150. The regional nature of global challenges: a need and strategy for integrated regional modeling K. Hibbard & A. Janetos 10.1007/s10584-012-0674-3
151. Using rainfall thresholds and ensemble precipitation forecasts to issue and improve urban inundation alerts T. Yang et al. 10.5194/hess-20-4731-2016
152. On undermining the science? K. Beven 10.1002/hyp.6396
153. Inter-comparison between retrospective ensemble streamflow forecasts using meteorological inputs from ECMWF and NOAA/ESRL in the Hudson River sub-basins during Hurricane Irene (2011) F. Saleh et al. 10.2166/nh.2018.182
154. The usability of 250 m resolution data from the UK Meteorological Office Unified Model as input data for a hydrological model P. Younger et al. 10.1002/met.46
155. A Hydraulic MultiModel Ensemble Framework for Visualizing Flood Inundation Uncertainty C. Zarzar et al. 10.1111/1752-1688.12656
156. Ensemble evaluation of hydrological model hypotheses T. Krueger et al. 10.1029/2009WR007845
157. Evaluating the performance of ground-based and remotely sensed near real-time rainfall fields from a hydrological perspective Y. Ghile et al. 10.1080/02626667.2010.481374
158. Evaluation of a probabilistic hydrometeorological forecast system S. Jaun & B. Ahrens 10.5194/hess-13-1031-2009
159. Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 2. Streamflow verification J. Brown et al. 10.1016/j.jhydrol.2014.05.030
160. Ensemble-based flash-flood modelling: Taking into account hydrodynamic parameters and initial soil moisture uncertainties S. Edouard et al. 10.1016/j.jhydrol.2017.04.048
161. Rainfall Uncertainty in Flood Forecasting: Belgian Case Study of Rivierbeek N. Van Steenbergen & P. Willems 10.1061/(ASCE)HE.1943-5584.0001004
162. Uncertainty propagation in a London flood simulation B. Golding 10.1111/j.1753-318X.2008.01014.x
163. Flood Models: An Exploratory Analysis and Research Trends F. Morante-Carballo et al. 10.3390/w14162488
164. Flood forecast errors and ensemble spread—A case study T. Nester et al. 10.1029/2011WR011649
165. The benefit of climatological and calibrated reforecast data for simulating hydrological droughts in Switzerland S. Jörg-Hess et al. 10.1002/met.1474
166. Application of a Medium-Range Global Hydrologic Probabilistic Forecast Scheme to the Ohio River Basin N. Voisin et al. 10.1175/WAF-D-10-05032.1
167. Suitability of high-temporal satellite-based precipitation products in flood simulation over a humid region of China Q. Zhu et al. 10.1080/02626667.2020.1844206
168. Hydropower System Operation and the Quality of Short-Term Hydrologic Ensemble Forecasts M. Osina Torres et al. 10.1061/JWRMD5.WRENG-5608
169. On the discretization of river networks for large scale hydrologic-hydrodynamic models F. Fan et al. 10.1590/2318-0331.262120200070
170. Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality H. McMillan et al. 10.1002/hyp.9384
171. Two-Dimensional Flood Inundation Modeling in the Godavari River Basin, India—Insights on Model Output Uncertainty V. Sharma & S. Regonda 10.3390/w13020191
172. Estimation of uncertainty in flood forecasts—A comparison of methods L. Boelee et al. 10.1111/jfr3.12516
173. Models with higher effective dimensions tend to produce more uncertain estimates A. Puy et al. 10.1126/sciadv.abn9450
174. Surrogate modeling-based calibration of hydrodynamic river model parameters P. Meert et al. 10.1016/j.jher.2018.02.003
175. Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 1: Optimization criteria D. Brochero et al. 10.5194/hess-15-3307-2011
176. Global runoff routing with the hydrological component of the ECMWF NWP system F. Pappenberger et al. 10.1002/joc.2028
177. Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions Y. He et al. 10.1002/met.132
178. Nature-based solutions as buffers against coastal compound flooding: Exploring potential framework for process-based modeling of hazard mitigation S. Radfar et al. 10.1016/j.scitotenv.2024.173529
179. Medium-range reservoir inflow predictions based on quantitative precipitation forecasts W. Collischonn et al. 10.1016/j.jhydrol.2007.06.025
180. Uncertainty in flood estimation S. Blazkova & K. Beven 10.1080/15732470701189514
181. Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom R. Romanowicz et al. 10.1029/2005WR004373
182. Reconstructing Flood Events in Mediterranean Coastal Areas Using Different Reanalyses and High-Resolution Meteorological Models A. Senatore et al. 10.1175/JHM-D-19-0270.1
183. Deriving global flood hazard maps of fluvial floods through a physical model cascade F. Pappenberger et al. 10.5194/hess-16-4143-2012
184. Streamflow Modelling: A Primer on Applications, Approaches and Challenges D. Bourdin et al. 10.1080/07055900.2012.734276
185. Compound flood models in coastal areas: a review of methods and uncertainty analysis K. Xu et al. 10.1007/s11069-022-05683-3
186. A physically based and machine learning hybrid approach for accurate rainfall-runoff modeling during extreme typhoon events C. Young et al. 10.1016/j.asoc.2016.12.052
187. Evaluating the uncertainty of hydrological model simulations coupled with meteorological forecasts at different spatial scales A. Ceppi et al. 10.1016/j.sbspro.2010.05.152
188. A flood inundation forecast of Hurricane Harvey using a continental-scale 2D hydrodynamic model O. Wing et al. 10.1016/j.hydroa.2019.100039
189. Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al. 10.5194/hess-21-3597-2017
190. Conjugate gradient descent learned ANN for Indian summer monsoon rainfall and efficiency assessment through Shannon-Fano coding S. Chattopadhyay & G. Chattopadhyay 10.1016/j.jastp.2018.07.015
191. Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification B. Wang et al. 10.1016/j.ast.2024.109607
192. Flash flood warnings using the ensemble precipitation forecasting technique: A case study on forecasting floods in Taiwan caused by typhoons T. Yang et al. 10.1016/j.jhydrol.2014.11.028
193. The Wageningen Lowland Runoff Simulator (WALRUS): application to the Hupsel Brook catchment and the Cabauw polder C. Brauer et al. 10.5194/hess-18-4007-2014
194. Multi-Source Uncertainty Analysis in Simulating Floodplain Inundation under Climate Change N. Maier et al. 10.3390/w10060809
195. 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. 10.3390/w6072104
196. Exploring the best sequence LSTM modeling architecture for flood prediction W. Li et al. 10.1007/s00521-020-05334-3
197. A data-driven analysis, and its limitations, of the spatial flood archive of Flanders, Belgium to assess the impact of soil sealing on flood volume and extent K. Gabriels et al. 10.1371/journal.pone.0239583
198. Improving our understanding of flood forecasting using earlier hydro-meteorological intelligence D. Shih et al. 10.1016/j.jhydrol.2014.02.059
199. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
200. MAP D‐PHASE: real‐time demonstration of hydrological ensemble prediction systems M. Zappa et al. 10.1002/asl.183
201. Communicating uncertainty in hydro‐meteorological forecasts: mission impossible? M. Ramos et al. 10.1002/met.202
202. Visualizing probabilistic flood forecast information: expert preferences and perceptions of best practice in uncertainty communication F. Pappenberger et al. 10.1002/hyp.9253
203. A ‘Peak‐Box’ approach for supporting interpretation and verification of operational ensemble peak‐flow forecasts M. Zappa et al. 10.1002/hyp.9521
204. Comparison of Different Configurations of Quantile Regression in Estimating Predictive Hydrological Uncertainty M. Muthusamy et al. 10.1016/j.proeng.2016.07.546
205. Ensemble flood forecasting based on operational forecasts of the regional Eta EPS in the Taquari-Antas basin V. Siqueira et al. 10.1590/2318-0331.011616004
206. An Assessment of the Influence of Uncertainty in Temporally Evolving Streamflow Forecasts on Riverine Inundation Modeling Y. Feng et al. 10.3390/w12030911
207. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
208. Short‐term flood inundation prediction using hydrologic‐hydraulic models forced with downscaled rainfall from global NWP D. Nam et al. 10.1002/hyp.10084