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26. Evaluation and Bias Correction of S2S Precipitation for Hydrological Extremes W. Li et al. 10.1175/JHM-D-19-0042.1
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29. 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
30. Enhancing Flood Risk Management: A Comprehensive Review on Flood Early Warning Systems with Emphasis on Numerical Modeling D. Fernández-Nóvoa et al. 10.3390/w16101408
31. WITHDRAWN: Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.jhydrol.2022.129012
32. 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
33. A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
34. Applicability of a flood forecasting system for Nebraska watersheds S. Rasiya Koya et al. 10.1016/j.envsoft.2023.105693
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36. 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
37. An Assessment of the Influence of Uncertainty in Temporally Evolving Streamflow Forecasts on Riverine Inundation Modeling Y. Feng et al. 10.3390/w12030911
38. MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction J. Jiang et al. 10.3390/rs17010077
39. Review of National Multi-Hazard Early Warning System Plan of Pakistan in context with Sendai Framework for Disaster Risk Reduction R. Mukhtar 10.1016/j.proeng.2018.01.027
40. Flood simulation using LISFLOOD and inundation effects: A case study of Typhoon In-Fa in Shanghai J. Li et al. 10.1016/j.scitotenv.2024.176372
41. Intraseasonal predictability of the duration of flooding above National Weather Service flood warning levels across the U.S. Midwest A. Neri et al. 10.1002/hyp.13902
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43. Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale G. Piazzi et al. 10.1029/2020WR028390
44. Increasing global urban exposure to flooding: An analysis of long-term annual dynamics W. Cao et al. 10.1016/j.scitotenv.2022.153012
45. Spurious numerical mixing under strong tidal forcing: a case study in the south-east Asian seas using the Symphonie model (v3.1.2) A. Garinet et al. 10.5194/gmd-17-6967-2024
46. Hydrometeorological Hazards: Monitoring, Forecasting, Risk Assessment, and Socioeconomic Responses H. Wu et al. 10.1155/2016/2367939
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48. Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay J. Lee et al. 10.1016/j.jhydrol.2022.128916
49. 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
50. Regional Adaptability of Global and Regional Hydrological Forecast System H. Wang et al. 10.3390/w15020347
51. Evaluating simulated daily discharge for operational hydrological drought monitoring in the Global Drought Observatory (GDO) C. Cammalleri et al. 10.1080/02626667.2020.1747623
52. A combined hydrological and hydraulic modelling approach for the flood hazard mapping of the Po river basin R. Nogherotto et al. 10.1111/jfr3.12755
53. Predicting the June 2013 European Flooding Based on Precipitation, Soil Moisture, and Sea Level Pressure M. Ionita et al. 10.1175/JHM-D-14-0156.1
54. Exploring hydrological system performance for alpine low flows in local and continental prediction systems A. Chang et al. 10.1016/j.ejrh.2024.102056
55. Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System S. Harrigan et al. 10.5194/hess-27-1-2023
56. Evaluation of the satellite-based Global Flood Detection System for measuring river discharge: influence of local factors B. Revilla-Romero et al. 10.5194/hess-18-4467-2014
57. Range-dependent thresholds for global flood early warning L. Alfieri et al. 10.1016/j.hydroa.2019.100034
58. Evaluation of the TRMM rainfall product accuracy over the central Mediterranean during a 20-year period (1998–2017) S. Kolios & A. Kalimeris 10.1007/s00704-019-03015-3
59. Importance of Two-way Communication with Users for Effective Utilization of Ensemble Flood Forecast Information M. WATANABE et al. 10.3178/jjshwr.35.104
60. A probabilistic framework for sequential drought-fluvial identification, probability estimation and prediction Z. Liu et al. 10.1016/j.jhydrol.2022.128115
61. On the decadal predictability of the frequency of flood events across the U.S. Midwest A. Neri et al. 10.1002/joc.5915
62. Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. 10.3390/w12072037
63. A Stacking Ensemble Model of Various Machine Learning Models for Daily Runoff Forecasting M. Lu et al. 10.3390/w15071265
64. Assessing robustness in global hydrological predictions by comparing modelling and Earth observations R. Pimentel et al. 10.1080/02626667.2023.2267544
65. PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model E. Sutanudjaja et al. 10.5194/gmd-11-2429-2018
66. Evaluation of Quantitative Precipitation Estimations through Hydrological Modeling in IFloodS River Basins H. Wu et al. 10.1175/JHM-D-15-0149.1
67. An increase in the spatial extent of European floods over the last 70 years B. Fang et al. 10.5194/hess-28-3755-2024
68. Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al. 10.1175/JHM-D-18-0040.1
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72. Estimating Daily Inundation Probability Using Remote Sensing, Riverine Flood, and Storm Surge Models: A Case of Hurricane Harvey J. Liang & D. Liu 10.3390/rs12091495
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79. Investigation of Data-Driven Rating Curve (DDRC) Approach B. Bhandari et al. 10.3390/w15030604
80. Sea Level Rise-Induced Transition from Rare Fluvial Extremes to Chronic and Compound Floods K. Mita et al. 10.3390/w15142671
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82. Connecting global‐ and local‐scale flood risk assessment: a case study of the Rhine River basin flood hazard M. Gusyev et al. 10.1111/jfr3.12243
83. Bridging the divide between human and physical geography: Potential avenues for collaborative research on climate modeling E. Colven & M. Thomson 10.1111/gec3.12418
84. FLOOD RISK ANALYSIS OF THE ARA RIVER DURING THE TYPHOON NO. 19 IN 2019 BASED ON HINDCAST AND ENSEMBLE FORECAST RAINFALL DATA T. ITO et al. 10.2208/jscejhe.76.2_I_769
85. Evaluation of Global Forecast System (GFS) Medium-Range Precipitation Forecasts in the Nile River Basin H. Yue et al. 10.1175/JHM-D-21-0110.1
86. An Efficient Modeling Approach for Probabilistic Assessments of Present-Day and Future Fluvial Flooding H. Ngo et al. 10.3389/fclim.2022.798618
87. A data-driven global flood forecasting system for medium to large rivers W. Palash et al. 10.1038/s41598-024-59145-w
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90. Perspectives on Open Access High Resolution Digital Elevation Models to Produce Global Flood Hazard Layers C. Sampson et al. 10.3389/feart.2015.00085
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92. Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002 M. Zampieri et al. 10.3390/rs10020244
93. Surface Water Extent Mapping in Denmark: Comparing Airborne Thermal Imagery and Satellite Earth Observation P. Bauer-Gottwein et al. 10.3390/w14223742
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95. 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
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98. Influence of ENSO and tropical Atlantic climate variability on flood characteristics in the Amazon basin J. Towner et al. 10.5194/hess-25-3875-2021
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144. Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas J. Englhardt et al. 10.5194/nhess-19-1703-2019
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