111 citations as recorded by crossref.

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26. The Weather Roulette: A Game to Communicate the Usefulness of Probabilistic Climate Predictions M. Terrado et al. 10.1175/BAMS-D-18-0214.1
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29. 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. 10.1016/j.advwatres.2019.103470
30. Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al. 10.1175/JHM-D-14-0193.1
31. Contrast effects in judgmental forecasting when assessing the implications of worst and best case scenarios P. Goodwin et al. 10.1002/bdm.2130
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33. 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. 10.1111/jfr3.12864
34. A high-resolution physical–biogeochemical model for marine resource applications in the northwest Atlantic (MOM6-COBALT-NWA12 v1.0) A. Ross et al. 10.5194/gmd-16-6943-2023
35. Evaluation of two hydrometeorological ensemble strategies for flash-flood forecasting over a catchment of the eastern Pyrenees H. Roux et al. 10.5194/nhess-20-425-2020
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37. 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. 10.5194/hess-18-3411-2014
38. Statistical post-processing of ensemble forecasts of the height of new snow J. Nousu et al. 10.5194/npg-26-339-2019
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43. Evaluation and Benchmarking of Operational Short-Range Ensemble Mean and Median Streamflow Forecasts for the Ohio River Basin T. Adams III & R. Dymond 10.1175/JHM-D-18-0102.1
44. The Value of Probabilistic Prediction for Lightning Ignited Fires F. Di Giuseppe 10.1029/2022GL099669
45. 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
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47. An Experiment on Risk-Based Decision-Making in Water Management Using Monthly Probabilistic Forecasts L. Crochemore et al. 10.1175/BAMS-D-14-00270.1
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49. The Science of NOAA's Operational Hydrologic Ensemble Forecast Service J. Demargne et al. 10.1175/BAMS-D-12-00081.1
50. Quantification of the Risks on Dam Preliminary Release Based on Ensemble Rainfall Forecasts and Determination of Operation H. Inomata et al. 10.20965/jdr.2018.p0637
51. Dağlık Havzalarda Uydu Kar Verisi ve Dalgacık Sinir Ağı Tabanlı Olasılıklı Akım Modelleme Yaklaşımı G. UYSAL & A. SENSOY 10.17482/uumfd.787147
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54. Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes G. Papacharalampous et al. 10.1007/s00477-018-1638-6
55. Communicating Probability Information in Weather Forecasts: Findings and Recommendations from a Living Systematic Review of the Research Literature J. Ripberger et al. 10.1175/WCAS-D-21-0034.1
56. Can seasonal hydrological forecasts inform local decisions and actions? A decision-making activity J. Neumann et al. 10.5194/gc-1-35-2018
57. Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al. 10.1016/j.jhydrol.2021.126783
58. Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar 10.1007/s10584-019-02512-8
59. The role of rating curve uncertainty in real‐time flood forecasting D. Ocio et al. 10.1002/2016WR020225
60. Effects of Increasing Horizontal Resolution in a Convection-Permitting Model on Flood Forecasting: The 2011 Dramatic Events in Liguria, Italy S. Davolio et al. 10.1175/JHM-D-14-0094.1
61. Generating Coherent Ensemble Forecasts After Hydrological Postprocessing: Adaptations of ECC‐Based Methods J. Bellier et al. 10.1029/2018WR022601
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63. A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques F. Chang & M. Tsai 10.1016/j.jhydrol.2016.01.056
64. The potential value of seasonal forecasts in a changing climate in southern Africa H. Winsemius et al. 10.5194/hess-18-1525-2014
65. 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. 10.1111/jfr3.12161
66. Public Understanding of Visual Representations of Uncertainty in Temperature Forecasts S. Tak et al. 10.1177/1555343415591275
67. Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods S. Charles et al. 10.5194/hess-22-3533-2018
68. Improving Precipitation Forecasts by Generating Ensembles through Postprocessing D. Shrestha et al. 10.1175/MWR-D-14-00329.1
69. A Comparative Verification of Raw and Bias-Corrected ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) D. Ratri et al. 10.1175/JAMC-D-18-0210.1
70. Improving flood forecasts for better flood preparedness in the UK (and beyond) E. Stephens & H. Cloke 10.1111/geoj.12103
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78. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al. 10.3390/w11102126
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80. Probabilistic forecasting and the reshaping of flood risk management S. Michaels 10.1080/19390459.2014.970800
81. Predictive uncertainty assessment in flood forecasting using quantile regression A. M. K. & C. N. R 10.2166/h2oj.2023.040
82. Flood forecasting on the Tocantins River using ensemble rainfall forecasts and real‐time satellite rainfall estimates F. Fan et al. 10.1111/jfr3.12177
83. Time is money: Costing the impact of duration misperception in market prices T. Ma et al. 10.1016/j.ejor.2016.04.044
84. airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023
85. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game L. Arnal et al. 10.5194/hess-20-3109-2016
86. 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 10.1080/10447318.2023.2285640
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91. Using Meteorological Analogues for Reordering Postprocessed Precipitation Ensembles in Hydrological Forecasting J. Bellier et al. 10.1002/2017WR021245
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