68 citations as recorded by crossref.

1. Attribution of long-term changes in peak river flows in Great Britain A. Brady et al. https://doi.org/10.1080/02626667.2019.1628964
2. Climate change and water in the UK: Recent scientific evidence for past and future change G. Garner et al. https://doi.org/10.1177/0309133316679082
3. Assessment and significance of the frequency domain for trends in annual peak streamflow C. Konrad & D. Restivo https://doi.org/10.1111/jfr3.12761
4. At-site flood frequency analysis in Brazil M. Valentini et al. https://doi.org/10.1007/s11069-023-06231-3
5. An investigation on the non-stationarity of flood frequency across the UK M. Chen et al. https://doi.org/10.1016/j.jhydrol.2021.126309
6. Hydroclimatology of extreme river flows G. Garner et al. https://doi.org/10.1111/fwb.12667
7. CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological and other applications V. Keller et al. https://doi.org/10.5194/essd-7-143-2015
8. Have trends changed over time? A study of UK peak flow data and sensitivity to observation period A. Griffin et al. https://doi.org/10.5194/nhess-19-2157-2019
9. An investigation into driver's perceptions of road flooding and adherence to signage M. Watkins et al. https://doi.org/10.1016/j.trf.2026.103639
10. Nonstationarity in maximum annual daily streamflow series from Southern Brazil D. Bartiko et al. https://doi.org/10.1590/2318-0331.0217170054
11. Updating estimates of low-streamflow statistics to account for possible trends A. Blum et al. https://doi.org/10.1080/02626667.2019.1655148
12. Non-stationary frequency analysis of extreme rainfall events on the east coast of KwaZulu-Natal, South Africa K. Johnson et al. https://doi.org/10.1080/02626667.2025.2464233
13. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
14. Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh A. Dey & M. Patwary https://doi.org/10.1007/s00477-025-02969-3
15. On the power of popular two-sample tests applied to precipitation and discharge series G. Mascaro https://doi.org/10.1007/s00477-024-02709-z
16. Probability Distribution of Waiting Time of the kth Extreme Event under Serial Dependence F. Serinaldi & F. Lombardo https://doi.org/10.1061/(ASCE)HE.1943-5584.0001923
17. Incorporating sedimentological data in UK flood frequency estimation S. Longfield et al. https://doi.org/10.1111/jfr3.12449
18. Comparison of time trend- and precipitation-informed models for assessing design discharges in variable climate M. Šraj & N. Bezak https://doi.org/10.1016/j.jhydrol.2020.125374
19. Non-stationary flood frequency analysis by a new decomposition-based method considering external forcing and internal variability of the climate system Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133560
20. Hazard function analysis for flood planning under nonstationarity L. Read & R. Vogel https://doi.org/10.1002/2015WR018370
21. Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. https://doi.org/10.5194/hess-25-1347-2021
22. Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea H. An et al. https://doi.org/10.1016/j.envsoft.2025.106471
23. Assessment of trends in hydrological extremes using regional magnification factors T. Kjeldsen & I. Prosdocimi https://doi.org/10.1016/j.advwatres.2021.103852
24. An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. https://doi.org/10.2166/nh.2021.156
25. Linear, nonlinear, parametric and nonparametric regression models for nonstationary flood frequency analysis M. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.128772
26. Hazard function theory for nonstationary natural hazards L. Read & R. Vogel https://doi.org/10.5194/nhess-16-915-2016
27. Informed attribution of flood changes to decadal variation of atmospheric, catchment and river drivers in Upper Austria M. Bertola et al. https://doi.org/10.1016/j.jhydrol.2019.123919
28. Can we still predict the future from the past? Implementing non‐stationary flood frequency analysis in the UK D. Faulkner et al. https://doi.org/10.1111/jfr3.12582
29. Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information E. Steirou et al. https://doi.org/10.1038/s41598-022-16633-1
30. A comparison of estimators of the conditional mean under non-stationary conditions R. Vogel & C. Kroll https://doi.org/10.1016/j.advwatres.2020.103672
31. Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. https://doi.org/10.5194/hess-25-3897-2021
32. Identification of coherent flood regions across Europe by using the longest streamflow records L. Mediero et al. https://doi.org/10.1016/j.jhydrol.2015.06.016
33. The influence of non-stationarity in extreme hydrological events on flood frequency estimation M. Šraj et al. https://doi.org/10.1515/johh-2016-0032
34. Areal Models for Spatially Coherent Trend Detection: The Case of British Peak River Flows I. Prosdocimi et al. https://doi.org/10.1029/2019GL085142
35. Comparison of four nonstationary hydrologic design methods for changing environment L. Yan et al. https://doi.org/10.1016/j.jhydrol.2017.06.001
36. Using climate information as covariates to improve nonstationary flood frequency analysis in Brazil G. Anzolin et al. https://doi.org/10.1080/02626667.2023.2182212
37. Streamflow trends and flood frequency analysis: a regional study of the UK F. Di Nunno et al. https://doi.org/10.1007/s11356-024-34774-w
38. The Features of the Cyclical Fluctuations, Homogeneity and Stationarity of the Average Annual Flow of the Southern Buh River Basin T. Bauzha & L. Gorbachova https://doi.org/10.1515/avutgs-2017-0001
39. Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel https://doi.org/10.1016/j.advwatres.2017.11.026
40. Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone V. Aich et al. https://doi.org/10.3390/w7062796
41. Evaluating the effectiveness of catchment-scale approaches in mitigating urban surface water flooding C. Ferguson & R. Fenner https://doi.org/10.1098/rsta.2019.0203
42. The impact of seasonal flood peak dependence on annual maxima design quantiles S. Debele et al. https://doi.org/10.1080/02626667.2017.1328558
43. Modelling non-stationary flood frequency in England and Wales using physical covariates D. Faulkner et al. https://doi.org/10.2166/nh.2024.134
44. Long-term temporal structure of catchment sediment response to precipitation in a humid mountain badland area C. Juez & E. Nadal-Romero https://doi.org/10.1016/j.jhydrol.2020.125723
45. Estimating flood recurrence uncertainty for non-stationary regimes Y. Gomes et al. https://doi.org/10.1590/2318-0331.282320230031
46. TEMPORAL CHANGE PREDICTABILITY OF EXTREME BASIN RAINFALL USING THE 150-YEAR SEAMLESS EXPERIMENT WITH NON-STATIONARY FREQUENCY ANALYSIS T. TANAKA et al. https://doi.org/10.2208/jscejj.22-00096
47. Reliability, return periods, and risk under nonstationarity L. Read & R. Vogel https://doi.org/10.1002/2015WR017089
48. Investigation of Trends and Nonstationarity in Hydrologic Variables in the Western Black Sea Basin, Turkey H. Zaifoglu et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002182
49. Techniques for assessing water infrastructure for nonstationary extreme events: a review J. Salas et al. https://doi.org/10.1080/02626667.2018.1426858
50. Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models I. Prosdocimi et al. https://doi.org/10.1002/2015WR017065
51. Non Stationary Analysis of Extreme Events A. Cancelliere https://doi.org/10.1007/s11269-017-1724-4
52. Design considerations for riverine floods in a changing climate – A review B. François et al. https://doi.org/10.1016/j.jhydrol.2019.04.068
53. Contribution of urbanisation to non-stationary river flow in the UK S. Han et al. https://doi.org/10.1016/j.jhydrol.2022.128417
54. A bivariate trend analysis to investigate the effect of increasing urbanisation on flood characteristics A. Requena et al. https://doi.org/10.2166/nh.2016.105
55. Updating urban design floods for changes in central tendency and variability using regression J. Hecht & R. Vogel https://doi.org/10.1016/j.advwatres.2019.103484
56. Spatio-temporal clustering of extreme floods in Great Britain G. Formetta et al. https://doi.org/10.1080/02626667.2024.2367167
57. Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States A. Luke et al. https://doi.org/10.1002/2016WR019676
58. Intensification of sub-daily rainfall extremes in a low-rise urban area J. Huang et al. https://doi.org/10.1016/j.uclim.2022.101124
59. Correlation between climate and flood indices in Northwestern Italy at different temporal scales M. Pesce et al. https://doi.org/10.2478/johh-2022-0009
60. Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology F. Serinaldi et al. https://doi.org/10.1016/j.advwatres.2017.10.015
61. Flood trends in Europe: are changes in small and big floods different? M. Bertola et al. https://doi.org/10.5194/hess-24-1805-2020
62. Understanding flood regime changes in Europe: a state-of-the-art assessment J. Hall et al. https://doi.org/10.5194/hess-18-2735-2014
63. Non-stationary future return levels for extreme rainfall over Extremadura (southwestern Iberian Peninsula) F. Acero et al. https://doi.org/10.1080/02626667.2017.1328559
64. On the Stationarity of Annual Precipitation over China (1959–2018) H. Wang & F. Sun https://doi.org/10.1175/JHM-D-19-0195.1
65. Flood hazard map of the Becho floodplain, Ethiopia, using nonstationary frequency model S. Tola & A. Shetty https://doi.org/10.1007/s11600-023-01074-9
66. Stationary vs non-stationary modelling of flood frequency distribution across northwest England S. Hesarkazzazi et al. https://doi.org/10.1080/02626667.2021.1884685
67. Extreme rainfall and temporal loading in Great Britain: Analysis of present and future trends using a convection-permitting climate model M. Asher et al. https://doi.org/10.1016/j.ejrh.2025.102750
68. Nonstationary frequency pairing reveals a highly sensitive peak flow regime to harvesting across a wide range of return periods X. Yu & Y. Alila https://doi.org/10.1016/j.foreco.2019.04.008