61 citations as recorded by crossref.

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2. A new scenario free procedure to determine flood peak changes in the Harz Mountains in response to climate change projections M. Beylich et al. https://doi.org/10.1016/j.ejrh.2024.101864
3. A continuous modelling approach for design flood estimation on sub-daily time scale B. Winter et al. https://doi.org/10.1080/02626667.2019.1593419
4. Effect of data length on estimation of peak flood discharge using L-moments of five probability distributions N. Vivekanandan https://doi.org/10.1007/s11069-025-07558-9
5. Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters J. Ding & U. Haberlandt https://doi.org/10.1002/hyp.11053
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9. Applicability of a Spatially Semi-Distributed Hydrological Model for Watershed Scale Runoff Estimation in Northwest Ethiopia D. Zelelew & A. Melesse https://doi.org/10.3390/w10070923
10. A probabilistic risk modelling chain for analysis of regional flood events J. Oliver et al. https://doi.org/10.1007/s00477-019-01681-3
11. Alternate pathway for regional flood frequency analysis in data-sparse region N. Mangukiya & A. Sharma https://doi.org/10.1016/j.jhydrol.2024.130635
12. Climate and hydrological variability: the catchment filtering role I. Andrés-Doménech et al. https://doi.org/10.5194/hess-19-379-2015
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14. Assessment of the Impact of Climate Change on Dam Hydrological Safety by Using a Stochastic Rainfall Generator E. Soriano et al. https://doi.org/10.3390/hydrology12060153
15. Statistical analysis of the return period and probability distribution of annual maximum rainfall in southern Ethiopia A. Getahun et al. https://doi.org/10.2166/wcc.2026.307
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20. Defining the hundred year flood: A Bayesian approach for using historic data to reduce uncertainty in flood frequency estimates B. Parkes & D. Demeritt https://doi.org/10.1016/j.jhydrol.2016.07.025
21. Spatial and Temporal Patterns in Nonstationary Flood Frequency across a Forest Watershed: Linkage with Rainfall and Land Use Types X. Huang et al. https://doi.org/10.3390/f9060339
22. Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence? H. Müller-Thomy et al. https://doi.org/10.5194/hess-22-5259-2018
23. Dynamic Continuous Flows on Networks J. Zou et al. https://doi.org/10.51387/22-NEJSDS3
24. Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2022.127866
25. Hydrological modelling using ensemble satellite rainfall estimates in a sparsely gauged river basin: The need for whole-ensemble calibration C. Skinner et al. https://doi.org/10.1016/j.jhydrol.2014.12.052
26. A dynamic river network method for the prediction of floods using a parsimonious rainfall-runoff model A. Tsegaw et al. https://doi.org/10.2166/nh.2019.003
27. A COMPARATIVE STUDY ON PEAK FLOOD DISCHARGE ESTIMATES BY EXTREME VALUE FAMILY OF PROBABILITY DISTRIBUTIONS N. VIVEKANANDAN https://doi.org/10.26634/jfet.16.1.17521
28. Implementing generative adversarial network (GAN) as a data-driven multi-site stochastic weather generator for flood frequency estimation H. Ji et al. https://doi.org/10.1016/j.envsoft.2023.105896
29. Extraction of flooding features with multifractal analysis for the Wujiang River of South China L. Wang et al. https://doi.org/10.1007/s12665-019-8401-2
30. Watershed hydrological modelling in data scarce regions; integrating ecohydrology and regionalization for the southern Caspian Sea basin, Iran M. Sheikh Goodarzi et al. https://doi.org/10.1016/j.heliyon.2021.e06833
31. Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm S. Ashrafi & M. Mahmoudi https://doi.org/10.2166/hydro.2021.043
32. Short time step continuous rainfall modeling and simulation of extreme events A. Callau Poduje & U. Haberlandt https://doi.org/10.1016/j.jhydrol.2017.06.036
33. Comparative evaluation of two types of stochastic weather generators for synthetic precipitation in the Rhine basin S. Ullrich et al. https://doi.org/10.1016/j.jhydrol.2021.126544
34. Critical rainfall statistics for predicting watershed flood responses: rethinking the design storm concept J. Knighton & M. Walter https://doi.org/10.1002/hyp.10888
35. How do changes along the risk chain affect flood risk? A. Metin et al. https://doi.org/10.5194/nhess-18-3089-2018
36. Nonstationary Annual Maximum Flood Frequency Analysis Using a Conceptual Hydrologic Model with Time-Varying Parameters L. Zeng et al. https://doi.org/10.3390/w14233959
37. Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2020.125664
38. Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management S. Ali et al. https://doi.org/10.3390/rs13193916
39. A non-stationary climate-informed weather generator for assessing future flood risks V. Nguyen et al. https://doi.org/10.5194/ascmo-10-195-2024
40. An integrated probabilistic assessment to analyse stochasticity of soil erosion in different restoration vegetation types J. Zhou et al. https://doi.org/10.5194/hess-21-1491-2017
41. An approach for flood assessment by numerical modeling of extreme hydrological events in the Zat watershed (High Atlas, Morocco) M. Benkirane et al. https://doi.org/10.1080/1573062X.2020.1734946
42. Use of Hydrological Models in Global Stochastic Flood Modeling G. Olcese et al. https://doi.org/10.1029/2022WR032743
43. Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. https://doi.org/10.1016/j.jhydrol.2020.125531
44. The impact of the spatiotemporal structure of rainfall on flood response over a piedmont urban basin: An approach coupling machine learning and hydrologic modeling S. Xu et al. https://doi.org/10.1016/j.jhydrol.2025.133160
45. Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain D. Falter et al. https://doi.org/10.1016/j.jhydrol.2015.02.021
46. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro https://doi.org/10.1016/j.jhydrol.2023.130118
47. Hydrologic State Influence on Riverine Flood Discharge for a Small Temperate Watershed (Fall Creek, United States): Negative Feedbacks on the Effects of Climate Change J. Knighton et al. https://doi.org/10.1175/JHM-D-16-0164.1
48. Exploring frequency analysis alternatives on instantaneous peak flow, in the context of flood plain delineation in southern Québec, Canada S. Ricard et al. https://doi.org/10.1139/cjce-2020-0729
49. Storm event-based frequency analysis method C. Jun et al. https://doi.org/10.2166/nh.2017.175
50. Probabilistic analysis of the controls on groundwater depth using Copula Functions Y. Bai et al. https://doi.org/10.2166/nh.2020.147
51. Mapping the potential flood frequency zones in Jordan using Gumbel distribution and GIS L. Mahasneh et al. https://doi.org/10.30493/das.2025.479057
52. Estimation of instantaneous peak flows from maximum mean daily flows using the HBV hydrological model J. Ding et al. https://doi.org/10.1002/hyp.10725
53. Selection of appropriate loss methods in HEC-HMS model and determination of the derived values of the sensitive parameters for un-gauged catchments in Northern Ethiopia D. Zelelew & S. Langon https://doi.org/10.1080/15715124.2019.1672701
54. Comprehensive evaluation of an improved large‐scale multi‐site weather generator for Germany V. Nguyen et al. https://doi.org/10.1002/joc.7107
55. Assessing the potential of satellite-based precipitation estimates for flood frequency analysis in ungauged or poorly gauged tributaries of China’s Yangtze River basin Z. Gao et al. https://doi.org/10.1016/j.jhydrol.2017.05.025
56. Evaluation of Various Probability Distributions for Deriving Design Flood Featuring Right-Tail Events in Pakistan M. Rizwan et al. https://doi.org/10.3390/w10111603
57. Integrating historical archives and geospatial data to revise flood estimation equations for Philippine rivers T. Hoey et al. https://doi.org/10.5194/hess-29-6181-2025
58. An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. https://doi.org/10.5194/gmd-9-2315-2016
59. The potential impact of climate variability on siltation of Andean reservoirs M. Rosas et al. https://doi.org/10.1016/j.jhydrol.2019.124396
60. Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach A. Bomers et al. https://doi.org/10.5194/nhess-19-1895-2019
61. A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes V. Filipova et al. https://doi.org/10.5194/nhess-19-1-2019