67 citations as recorded by crossref.

1. Two decades of ensemble flood forecasting: a state-of-the-art on past developments, present applications and future opportunities J. Das et al. https://doi.org/10.1080/02626667.2021.2023157
2. High-Resolution QPF Uncertainty and Its Implications for Flood Prediction: A Case Study for the Eastern Iowa Flood of 2016 B. Seo et al. https://doi.org/10.1175/JHM-D-18-0046.1
3. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al. https://doi.org/10.1175/2009JHM1144.1
4. Flood inundation modelling: A review of methods, recent advances and uncertainty analysis J. Teng et al. https://doi.org/10.1016/j.envsoft.2017.01.006
5. Analyzing the spatial interactions between rainfall levels and flooding prediction in São Paulo W. Billa et al. https://doi.org/10.1111/tgis.13116
6. Impacts of global climate change on floods in Pakistan with current trends challenges and future perspectives W. Khoso et al. https://doi.org/10.1007/s44274-025-00403-7
7. From model- to data-centric urban hydroinformatics: an automated workflow for enhancing geospatial data for surface flow modelling W. Svellingen et al. https://doi.org/10.2166/hydro.2026.195
8. Public Perceptions of Flood and Extreme Weather Early Warnings in Greece M. Diakakis et al. https://doi.org/10.3390/su141610199
9. Assessment of Flood Risk Using Remote Sensing and GIS Techniques Based on the Analytic Hierarchy Process (AHP) and Fuzzy AHP (FAHP) in the R’Dom Watershed (Meknes, Morocco) N. Essahlaoui et al. https://doi.org/10.3390/rs18152500
10. Real-time error correction of two-dimensional flood-inundation simulations during rainstorm events S. Wu et al. https://doi.org/10.1007/s00477-020-01792-2
11. The Occurrence of Catastrophic Multiple-Fatality Flash Floods in the Eastern Mediterranean Region M. Diakakis et al. https://doi.org/10.3390/w15010119
12. Anticipated Compound Flooding in Miami-Dade Under Extreme Hydrometeorological Events A. Gumbs et al. https://doi.org/10.3390/hydrology13010034
13. Characteristics of Indoor Flood Fatalities: Evidence from Greece M. Diakakis & K. Papagiannaki https://doi.org/10.3390/su13158612
14. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
15. Leveraging Ice, Cloud, and Land Elevation Satellite-2 Laser Altimetry and Surface Water Ocean Topography Radar Altimetry for Error Diagnosis in Hydraulic Models: A Case Study of the Chao Phraya River T. Charoensuk et al. https://doi.org/10.3390/rs17040621
16. Model Flood Alert System: Development and Application for the Theater District within Downtown Houston, Tex. B. Mukhopadhyay et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000010
17. Flood hazard mapping methods: A review R. Mudashiru et al. https://doi.org/10.1016/j.jhydrol.2021.126846
18. Exceptional floods on a developed river: case study for the Bistrita River from the Eastern Carpathians (Romania) G. Cojoc et al. https://doi.org/10.1007/s11069-014-1439-2
19. A Brief review of flood forecasting techniques and their applications S. Jain et al. https://doi.org/10.1080/15715124.2017.1411920
20. An inter‐basin backwater overflow (the Buhai Brook and the Ezer reservoir on the Jijia River, Romania) G. Romanescu & C. Stoleriu https://doi.org/10.1002/hyp.9851
21. A flow-weighted ensemble strategy to assess the impacts of climate change on watershed hydrology F. Dong et al. https://doi.org/10.1016/j.jhydrol.2020.125898
22. Cascade Effects Induced by Extreme Storms and Floods: The Case of Storm Daniel (2023) in Greece M. Diakakis et al. https://doi.org/10.3390/w17070912
23. Enhancing real-time flood forecasting and warning system by integrating ensemble techniques and hydrologic model simulations A. Patel et al. https://doi.org/10.2166/wcc.2024.052
24. A Basin Approach to a Hydrological Service Delivery System in the Amur River Basin S. Borsch et al. https://doi.org/10.3390/geosciences8030093
25. Monte Carlo simulation for design flood estimation: a review of Australian practice M. Loveridge & A. Rahman https://doi.org/10.1080/13241583.2018.1453979
26. Climate Change, Land‐Use Change, and Floods: Toward an Integrated Assessment H. Chang & J. Franczyk https://doi.org/10.1111/j.1749-8198.2008.00136.x
27. Hydraulic Planning in Insular Urban Territories: The Case of Madeira Island—São João Stream, Funchal, Portugal S. Lousada et al. https://doi.org/10.3390/w15112075
28. La prévision hydrométéorologique sur le bassin versant du Rhône en amont du Léman J. García Hernández et al. https://doi.org/10.1051/lhb/2009057
29. Case Study of Flood Mitigation and Hazard Management at the Texas Medical Center in the Wake of Tropical Storm Allison in 2001 Z. Fang et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000139
30. Application of Delaunay adaptive mesh refinement in flood risk assessment of multi-bridge system with short distance J. Lin et al. https://doi.org/10.1007/s13201-024-02196-1
31. Countermeasures against floods that exceed design levels based on topographical and historical analyses of the September 2015 Kinu River flooding R. Itsukushima https://doi.org/10.1016/j.ejrh.2018.10.001
32. FLOOD PATTERN CHANGES IN THE RIVERS OF THE BALTIC COUNTRIES D. SARAUSKIENE et al. https://doi.org/10.3846/16486897.2014.937438
33. Current awareness https://doi.org/10.1002/hyp.6195
34. Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions K. Adikari et al. https://doi.org/10.1016/j.envsoft.2021.105136
35. Influence of Topographic Resolution and Accuracy on Hydraulic Channel Flow Simulations: Case Study of the Versilia River (Italy) M. Luppichini et al. https://doi.org/10.3390/rs11131630
36. Real-time correction of water stage forecast using combination of forecasted errors by time series models and Kalman filter method J. Shen et al. https://doi.org/10.1007/s00477-015-1074-9
37. Gridded data for a hydrological model in a scarce-data basin E. Muñoz et al. https://doi.org/10.1680/wama.12.00086
38. Long-Term Performance of a Flood Alert System and Upgrade to FAS3: A Houston, Texas, Case Study Z. Fang et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000374
39. Evaluation of Radar-Gauge Merging Techniques to Be Used in Operational Flood Forecasting in Urban Watersheds D. Wijayarathne et al. https://doi.org/10.3390/w12051494
40. Comparison of Different Artificial Intelligence Techniques to Predict Floods in Jhelum River, Pakistan F. Ahmed et al. https://doi.org/10.3390/w14213533
41. Understanding Uncertainty in Probabilistic Floodplain Mapping in the Time of Climate Change Z. Zahmatkesh et al. https://doi.org/10.3390/w13091248
42. The Fallibility of Flood Warning Chains: Can Europe’s Flood Warnings Be Effective? D. Parker & S. Priest https://doi.org/10.1007/s11269-012-0057-6
43. Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid environment P. Liu et al. https://doi.org/10.2166/nh.2024.011
44. The transformation of earth‐system observations into information of socio‐economic value in GEOSS A. Hollingsworth et al. https://doi.org/10.1256/qj.05.181
45. Developing flood mitigation measures for the northern part of Nicosia H. Zaifoglu et al. https://doi.org/10.1007/s11069-019-03713-1
46. Evaluating the capability of UAV-Derived DEMs for flood hazard analysis H. Ozdemir & A. Akbas https://doi.org/10.1080/02723646.2025.2467912
47. A Novel Response Priority Framework for an Urban Coastal Catchment Using Global Weather Forecasts‐Based Improved Flood Risk Estimates M. Ghosh et al. https://doi.org/10.1029/2023JD038876
48. Physically based cold regions river flood prediction in data‐sparse regions: The Yukon River Basin flow forecasting system M. Elshamy et al. https://doi.org/10.1111/jfr3.12835
49. Modern aspects of the use of artificial intelligence for predicting natural disasters on the rivers of the Russian Federation (using the example of the Amur River) N. Aleksandrov et al. https://doi.org/10.22363/2312-8143-2022-23-2-97-107
50. Spatiotemporal floodplain mapping and prediction using HEC-RAS - GIS tools: Case of the Mejerda river, Tunisia C. Ben Khalfallah & S. Saidi https://doi.org/10.1016/j.jafrearsci.2018.03.004
51. Flood Management Policies, Planning Capacities and the Health Implications in Nigeria E. Udokporo et al. https://doi.org/10.38124/ijisrt/25oct503
52. Taşkın Modelleme Yöntemlerinin Gözden Geçirilmesi ve Karşılaştırılması V. DEMİR et al. https://doi.org/10.31590/ejosat.1010220
53. A new methodology to assess the benefits of flood warning T. Ball et al. https://doi.org/10.1111/j.1753-318X.2012.01141.x
54. Estimation of uncertainty sources in the projections of Lithuanian river runoff J. Kriauciuniene et al. https://doi.org/10.1007/s00477-012-0608-7
55. Analysis of flood‐reduction capacity of hydropower schemes in an Alpine catchment area by semidistributed conceptual modelling M. Bieri & A. Schleiss https://doi.org/10.1111/j.1753-318X.2012.01171.x
56. Application of a Distributed Hydrologic Model to Flood Forecasting in Catchments of Different Conditions Z. Liu et al. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:5(378)
57. Continental and global scale flood forecasting systems R. Emerton et al. https://doi.org/10.1002/wat2.1137
58. A coupled PSR-based framework for holistic modeling and flood resilience assessment: A case study of the 2022 flood events in five southern provinces of China X. Fu et al. https://doi.org/10.1016/j.jhydrol.2024.131255
59. Influence of short-term rainfall forecast error on flood forecast operation: A risk assessment based on Bayesian theory Z. Jia et al. https://doi.org/10.1080/10807039.2020.1768360
60. Understanding and enhancing the public's behavioural response to flood warning information D. Parker et al. https://doi.org/10.1002/met.119
61. Operational flood forecasting and warning under the changing environment in China Z. Liu https://doi.org/10.5194/piahs-383-223-2020
62. Rapid prediction of flood inundation by interpolation between flood library maps for real-time applications W. Wang et al. https://doi.org/10.1016/j.jhydrol.2022.127735
63. Finding the Optimal Machine Learning Model for Flood Prediction on the Amur River N. Aleksandrov et al. https://doi.org/10.33693/2313-223X-2022-9-2-11-20
64. Flood Disaster Risk Assessment in Wuhan City Based on GIS Analysis and Indicator Ranking Using Random Forest J. Wu & X. Jiang https://doi.org/10.3390/buildings14051370
65. Real-time correction of water stage forecast during rainstorm events using combination of forecast errors S. Wu et al. https://doi.org/10.1007/s00477-011-0514-4
66. Enhancing Flood Prediction in Mountainous Watersheds across Diverse Climates Using Spatiotemporal Variable Source-Mixed Runoff Model X. Zhao et al. https://doi.org/10.1007/s11269-025-04445-7
67. Spatiotemporal variability of drought/flood and its teleconnection with large-scale climate indices based on standard precipitation index: a case study of Taihu Basin, China D. Wang et al. https://doi.org/10.1007/s11356-022-19329-1