126 citations as recorded by crossref.

1. Probabilistic flood forecasting on the Rhone River: evaluation with ensemble and analogue-based precipitation forecasts J. Bellier et al.
2. Point, interval, and density forecasts: Differences in bias, judgment noise, and overall accuracy X. Niu & N. Harvey
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5. Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model J. Bennett et al.
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13. Bluecat: A Local Uncertainty Estimator for Deterministic Simulations and Predictions D. Koutsoyiannis & A. Montanari
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15. Flood Forecasting and Warning System: A Survey of Models and Their Applications in West Africa M. Fofana et al.
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23. Using a Bayesian joint probability approach to improve the skill of medium-range forecasts of the Indian summer monsoon rainfall N. Samal et al.
24. The challenges of pre-launch forecasting of adoption time series for new durable products P. Goodwin et al.
25. Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker S. Matte et al.
26. Challenges of Operational River Forecasting T. Pagano et al.
27. A Bayesian approach for assessing the boundary between desirable and undesirable environmental status – An example from a coastal fish indicator in the Baltic Sea M. Laurila-Pant et al.
28. The Weather Roulette: A Game to Communicate the Usefulness of Probabilistic Climate Predictions M. Terrado et al.
29. Statistical Postprocessing and Multivariate Structuring of High-Resolution Ensemble Precipitation Forecasts C. van Straaten et al.
30. Evaluation of the Impact of Multi-Source Uncertainties on Meteorological and Hydrological Ensemble Forecasting Z. Shu et al.
31. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al.
32. Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al.
33. Contrast effects in judgmental forecasting when assessing the implications of worst and best case scenarios P. Goodwin et al.
34. From skill to value: isolating the influence of end user behavior on seasonal forecast assessment M. Giuliani et al.
35. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al.
36. A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0) A. Ross et al.
37. Evaluation of two hydrometeorological ensemble strategies for flash-flood forecasting over a catchment of the eastern Pyrenees H. Roux et al.
38. Operational hydrometeorological forecasting on the Rhône River in France: moving toward a seamless probabilistic approach L. Caillouet et al.
39. Alternative configurations of quantile regression for estimating predictive uncertainty in water level forecasts for the upper Severn River: a comparison P. López López et al.
40. Statistical post-processing of ensemble forecasts of the height of new snow J. Nousu et al.
41. Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al.
42. Comparison of Single-Valued Forecasts in a User-Oriented Framework M. Foley & N. Loveday
43. Impact of improved meteorological forcing, profile of soil hydraulic conductivity and data assimilation on an operational Hydrological Ensemble Forecast System over France M. Coustau et al.
44. FOREWARNS: development and multifaceted verification of enhanced regional-scale surface water flood forecasts B. Maybee et al.
45. Evaluation and Benchmarking of Operational Short-Range Ensemble Mean and Median Streamflow Forecasts for the Ohio River Basin T. Adams III & R. Dymond
46. The Value of Probabilistic Prediction for Lightning Ignited Fires F. Di Giuseppe
47. Comparison of different quantile regression methods to estimate predictive hydrological uncertainty in the Upper Chao Phraya River Basin, Thailand S. Acharya et al.
48. Creating effective flood warnings: A framework from a critical review M. Kuller et al.
49. An Experiment on Risk-Based Decision-Making in Water Management Using Monthly Probabilistic Forecasts L. Crochemore et al.
50. Seasonal Hydroclimatic Forecasts as Innovations and the Challenges of Adoption by Water Managers S. Whateley et al.
51. The Science of NOAA's Operational Hydrologic Ensemble Forecast Service J. Demargne et al.
52. Quantification of the Risks on Dam Preliminary Release Based on Ensemble Rainfall Forecasts and Determination of Operation H. Inomata et al.
53. Dağlık Havzalarda Uydu Kar Verisi ve Dalgacık Sinir Ağı Tabanlı Olasılıklı Akım Modelleme Yaklaşımı G. UYSAL & A. SENSOY
54. Serious gaming in flood risk management S. Forrest et al.
55. Ensemble streamflow forecasting experiments in a tropical basin: The São Francisco river case study F. Fan et al.
56. Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes G. Papacharalampous et al.
57. Communicating Probability Information in Weather Forecasts: Findings and Recommendations from a Living Systematic Review of the Research Literature J. Ripberger et al.
58. Can seasonal hydrological forecasts inform local decisions and actions? A decision-making activity J. Neumann et al.
59. Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al.
60. Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar
61. The role of rating curve uncertainty in real‐time flood forecasting D. Ocio et al.
62. Generating Coherent Ensemble Forecasts After Hydrological Postprocessing: Adaptations of ECC‐Based Methods J. Bellier et al.
63. Designing environmental uncertainty information for experts and non‐experts: Does data presentation affect users’ decisions and interpretations? K. Mulder et al.
64. A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques F. Chang & M. Tsai
65. A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change C. Carey et al.
66. Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks M. Khan et al.
67. Use of Ensemble-Based Forecasting Methods in Reservoir Operation: Issues and Implementation Challenges R. Teegavarapu et al.
68. The potential value of seasonal forecasts in a changing climate in southern Africa H. Winsemius et al.
69. Experiences of dealing with flash floods using an ensemble hydrological nowcasting chain: implications of communication, accessibility and distribution of the results F. Silvestro et al.
70. Public Understanding of Visual Representations of Uncertainty in Temperature Forecasts S. Tak et al.
71. Determinants of evacuation timing in response to probabilistic forecasts K. Georgakakos
72. Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods S. Charles et al.
73. Advances and challenges in multi‑scale water environment system modeling: from process simulation to a novel simulator architecture R. Xia et al.
74. Improving Precipitation Forecasts by Generating Ensembles through Postprocessing D. Shrestha et al.
75. A Comparative Verification of Raw and Bias-Corrected ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) D. Ratri et al.
76. The probabilistic skill of extended-range heat wave forecasts over Europe N. Korhonen et al.
77. What makes a marine heatwave forecast useable, useful and used? C. Spillman et al.
78. A deep learning-based probabilistic approach to flash flood warnings in mountainous catchments Y. Zhao et al.
79. Improving flood forecasts for better flood preparedness in the UK (and beyond) E. Stephens & H. Cloke
80. What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge F. Olsson et al.
81. Understanding the use of 2015–2016 El Niño forecasts in shaping early humanitarian action in Eastern and Southern Africa A. Tozier de la Poterie et al.
82. Probabilistic forecasting of hourly emergency department arrivals B. Rostami-Tabar et al.
83. A rainfall threshold‐based approach to early warnings in urban data‐scarce regions: A case study of pluvial flooding in Alexandria, Egypt A. Young et al.
84. Enhanced surface water flood forecasts: User‐led development and testing C. Birch et al.
85. Probabilistic multi-step ahead streamflow forecast based on deep learning D. Karimanzira et al.
86. Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts R. Siddique & A. Mejia
87. Hydrological uncertainty processor based on a copula function Z. Liu et al.
88. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al.
89. HESS Opinions "Forecaster priorities for improving probabilistic flood forecasts" F. Wetterhall et al.
90. Probabilistic forecasting and the reshaping of flood risk management S. Michaels
91. Predictive uncertainty assessment in flood forecasting using quantile regression A. M. K. & C. N. R
92. Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy S. Wadsworth & J. Niemi
93. Flood forecasting on the Tocantins River using ensemble rainfall forecasts and real‐time satellite rainfall estimates F. Fan et al.
94. Time is money: Costing the impact of duration misperception in market prices T. Ma et al.
95. airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al.
96. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game L. Arnal et al.
97. Improving Trust in AI with Mitigating Confirmation Bias: Effects of Explanation Type and Debiasing Strategy for Decision-Making with Explainable AI T. Ha & S. Kim
98. Probabilistic Projections of Multidimensional Flood Risks at a Convection‐Permitting Scale B. Zhang et al.
99. From scientific models to decisions: exploring uncertainty communication gaps between scientists and decision-makers A. Dhungana et al.
100. Synergies entre acteurs opérationnels et scientifiques au service de l'amélioration de la prévision des crues C. Furusho et al.
101. Artificial intelligence for modeling and understanding extreme weather and climate events G. Camps-Valls et al.
102. Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas M. Nazeri Tahroudi et al.
103. Influence of Flood Risk Awareness and Communication on Real Estate Investment Decision-Making A. Oyetunji et al.
104. A coupled human–natural system to assess the operational value of weather and climate services for agriculture Y. Li et al.
105. Using Meteorological Analogues for Reordering Postprocessed Precipitation Ensembles in Hydrological Forecasting J. Bellier et al.
106. A review on climate‐model‐based seasonal hydrologic forecasting: physical understanding and system development X. Yuan et al.
107. ReAFFIRM: Real-time Assessment of Flash Flood Impacts – a Regional high-resolution Method J. Ritter et al.
108. Short-Term Reservoir Optimization for Flood Mitigation under Meteorological and Hydrological Forecast Uncertainty D. Schwanenberg et al.
109. A stacking ensemble model for hydrological post-processing to improve streamflow forecasts at medium-range timescales over South Korea D. Lee & K. Ahn
110. Efficient prediction uncertainty quantification in dam behavior monitoring with attention-based sequence-to-sequence learning M. Li et al.
111. The monetary benefit of early flood warnings in Europe F. Pappenberger et al.
112. A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes J. Quilty & J. Adamowski
113. Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al.
114. Warning cultures in practice: Shadow systems in local flood risk governance J. Da Costa et al.
115. The effect of likelihood and impact information on public response to severe weather warnings A. Taylor et al.
116. Enhancing the Predictability of Seasonal Streamflow With a Statistical‐Dynamical Approach L. Slater & G. Villarini
117. Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry R. Bessa et al.
118. Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales J. Verkade et al.
119. Embedding communication concepts in forecasting training increases students' understanding of ecological uncertainty W. Woelmer et al.
120. To Act or Not To Act? Factors Influencing the General Public’s Decision about Whether to Take Protective Action against Severe Weather T. Kox & A. Thieken
121. Operational snow-hydrological modeling for Switzerland R. Mott et al.
122. “Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England L. Arnal et al.
123. A Value‐Based Model Selection Approach for Environmental Random Variables M. Müller & S. Thompson
124. Comparing expert judgement and numerical criteria for hydrograph evaluation L. Crochemore et al.
125. Hydrological Modeling and Capacity Building in the Republic of Namibia R. Clark et al.
126. Probabilistic early warning of flash floods using Monte Carlo simulation and hydrological modelling X. Wu et al.