56 citations as recorded by crossref.

1. Improving short to medium range GEFS precipitation forecast in India S. Saminathan et al. https://doi.org/10.1016/j.jhydrol.2021.126431
2. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. https://doi.org/10.1080/02626667.2019.1617868
3. Improving Flood Forecasting Skill by Combining Ensemble Precipitation Forecasts and Multiple Hydrological Models in a Mountainous Basin Y. Xiang et al. https://doi.org/10.3390/w16131887
4. 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. https://doi.org/10.5194/hess-20-2649-2016
5. Enhancing resilience with operational hydrometeorological-based flood early warning system in northeast India D. Barman et al. https://doi.org/10.1007/s12040-025-02674-3
6. A dual post-processing framework for probabilistic streamflow forecasting using deep learning ensembles: Integrating residual correction and Vine Copula-based BMA W. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.136437
7. HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting P. Darbandsari & P. Coulibaly https://doi.org/10.1029/2020WR029433
8. A Comparative Analysis of Ensemble NWP Models for Flood Forecasting<b></b> S. Aminyavari https://doi.org/10.66224/JCER.7.4.23
9. Evaluation of the TRMM rainfall product accuracy over the central Mediterranean during a 20-year period (1998–2017) S. Kolios & A. Kalimeris https://doi.org/10.1007/s00704-019-03015-3
10. The potential of global reanalysis datasets in identifying flood events in Southern Africa G. Gründemann et al. https://doi.org/10.5194/hess-22-4667-2018
11. Assessing the impact of human interventions on floods and low flows in the Wei River Basin in China using the LISFLOOD model L. Gai et al. https://doi.org/10.1016/j.scitotenv.2018.10.379
12. Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al. https://doi.org/10.1016/j.jhydrol.2020.125430
13. A decision‐led evaluation approach for flood forecasting system developments: An application to the Global Flood Awareness System in Bangladesh S. Hossain et al. https://doi.org/10.1111/jfr3.12959
14. Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study T. Veldkamp et al. https://doi.org/10.1088/1748-9326/aab96f
15. 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. https://doi.org/10.1029/2020WR028390
16. Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins E. Nkiaka et al. https://doi.org/10.5194/hess-26-5899-2022
17. Assessing time, cost and quality trade-offs in forecast-based action for floods K. Bischiniotis et al. https://doi.org/10.1016/j.ijdrr.2019.101252
18. Large-scale high-resolution hydrodynamic modelling of urban floods: Some practical considerations X. Ming et al. https://doi.org/10.1016/j.jher.2025.100655
19. Filling the gaps: Calibrating a rainfall-runoff model using satellite-derived surface water extent B. Revilla-Romero et al. https://doi.org/10.1016/j.rse.2015.10.022
20. Validation of Satellite Rainfall Products over a Mountainous Watershed in a Humid Subtropical Climate Region of Brazil J. Dos Reis et al. https://doi.org/10.3390/rs9121240
21. A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models A. Khatun et al. https://doi.org/10.1016/j.envsoft.2024.106126
22. MERLIN: a flood hazard forecasting system for coastal river reaches I. Fraga et al. https://doi.org/10.1007/s11069-020-03855-7
23. A WebGIS-based flood control management system for small reservoirs: a case study in the lower reaches of the Yangtze River W. Chen et al. https://doi.org/10.2166/hydro.2016.049
24. Evaluation of Satellite Precipitation Estimates Over Omo–Gibe River Basin in Ethiopia N. Sinta et al. https://doi.org/10.1007/s41748-021-00288-5
25. Mapping flood inundation in Baro Akobo Basin, Itang area, Ethiopia: integrating machine learning and process-based models Y. Belina et al. https://doi.org/10.1007/s12145-024-01547-5
26. Assessing the role of uncertain precipitation estimates on the robustness of hydrological model parameters under highly variable climate conditions B. Bisselink et al. https://doi.org/10.1016/j.ejrh.2016.09.003
27. Addressing the gap: advancements in flow forecasting systems for small mountainous catchments M. Fagundes et al. https://doi.org/10.1007/s11069-024-06407-5
28. 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
29. Spatial and Temporal Trend Analysis of Flood Events Across Africa During the Historical Period D. Houteta et al. https://doi.org/10.3390/w17243531
30. 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. https://doi.org/10.2166/nh.2018.182
31. Intelligent Web App for Flash Flood Prediction in Nigeria’s Coastal Regions I. Acheme & M. Abduljalal https://doi.org/10.53982/ajerd.2025.0803.07-j
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33. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. https://doi.org/10.1002/wat2.1432
34. Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya M. Wanzala et al. https://doi.org/10.1111/jfr3.12846
35. Assessment of Precipitation Estimation from the NWP Models and Satellite Products for the Spring 2019 Severe Floods in Iran S. Aminyavari et al. https://doi.org/10.3390/rs11232741
36. A simplified model to investigate the hydrological regimes of temporary wetlands: the case study of Doñana marshland (Spain) C. Panciera et al. https://doi.org/10.5194/hess-30-3263-2026
37. A Brief review of flood forecasting techniques and their applications S. Jain et al. https://doi.org/10.1080/15715124.2017.1411920
38. Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. https://doi.org/10.1029/2022RG000788
39. An Overview of Flood Concepts, Challenges, and Future Directions A. Mishra et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002164
40. Suivi en temps réel des sécheresses : de l'analyse à la prévision saisonnière F. Besson et al. https://doi.org/10.1051/lhb/2020042
41. Estimating groundwater recharge across Africa during 2003–2023 using GRACE-derived groundwater storage changes V. Ferreira et al. https://doi.org/10.1016/j.ejrh.2024.102046
42. Evaluation of global ensemble prediction models for forecasting medium to heavy precipitations A. Abdolmanafi et al. https://doi.org/10.1007/s00703-020-00731-8
43. Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile https://doi.org/10.3390/hydrology9030050
44. Humanitarian engineering at the sustainability-development nexus: mapping vulnerability and capability factors for communities at risk of water-based disasters S. Schismenos et al. https://doi.org/10.1007/s11625-020-00890-y
45. Process refinements improve a hydrological model concept applied to the Niger River basin J. Andersson et al. https://doi.org/10.1002/hyp.11376
46. Providing peak river flow statistics and forecasting in the Niger River basin J. Andersson et al. https://doi.org/10.1016/j.pce.2017.02.010
47. A multi-scale ensemble-based framework for forecasting compound coastal-riverine flooding: The Hackensack-Passaic watershed and Newark Bay F. Saleh et al. https://doi.org/10.1016/j.advwatres.2017.10.026
48. Bias-correcting input variables enhances forecasting of reference crop evapotranspiration Q. Yang et al. https://doi.org/10.5194/hess-25-4773-2021
49. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al. https://doi.org/10.1029/2019WR025700
50. Assessing the impact of global change on flood dynamics and rice submergence susceptibility in the Kilombero floodplain, Tanzania M. Tuschen et al. https://doi.org/10.3389/feart.2025.1672749
51. Future Projections of Water Scarcity in the Danube River Basin Due to Land Use, Water Demand and Climate Change B. Bisselink et al. https://doi.org/10.2478/jengeo-2018-0010
52. Mid-Century Daily Discharge Scenarios Based on Climate and Land Use Change in Ouémé River Basin at Bétérou Outlet L. Emmanuel et al. https://doi.org/10.3390/hydrology5040069
53. Multimodel comparison and assessment of short to medium range precipitation and temperature forecasts over India: Implications towards forecasting of meteorological indices in India S. Saminathan et al. https://doi.org/10.1002/joc.8409
54. Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control V. Ramaswamy & F. Saleh https://doi.org/10.1007/s11269-019-02481-8
55. Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models M. Sanz-Ramos et al. https://doi.org/10.3390/w13233433
56. Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al. https://doi.org/10.5194/hess-22-1831-2018