40 citations as recorded by crossref.

1. Causes, impacts and patterns of disastrous river floods B. Merz et al. 10.1038/s43017-021-00195-3
2. River channel conveyance capacity adjusts to modes of climate variability L. Slater et al. 10.1038/s41598-019-48782-1
3. A tiered stochastic framework for assessing crop yield loss risks due to water scarcity under different uncertainty levels V. Uddameri et al. 10.1016/j.agwat.2020.106226
4. Potential for seasonal flood forecasting in West Africa using climate indexes J. Hounkpè et al. 10.1111/jfr3.12833
5. A Global Map for Selecting Stationary and Nonstationary Methods to Estimate Extreme Floods Z. Li et al. 10.3390/w15213835
6. An investigation on the non-stationarity of flood frequency across the UK M. Chen et al. 10.1016/j.jhydrol.2021.126309
7. Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information E. Steirou et al. 10.1038/s41598-022-16633-1
8. Comparing Flood Projection Approaches Across Hydro‐Climatologically Diverse United States River Basins K. Schlef et al. 10.1029/2019WR025861
9. Amplified seasonality in western Europe in a warmer world N. de Winter et al. 10.1126/sciadv.adl6717
10. Current European flood-rich period exceptional compared with past 500 years G. Blöschl et al. 10.1038/s41586-020-2478-3
11. Climate impact on flood changes – an Austrian-Ukrainian comparison S. Snizhko et al. 10.2478/johh-2023-0017
12. A novel deep learning-based approach for reconstruction of historical long-term high-quality gridded meteorological dataset Y. Jeong et al. 10.1016/j.jhydrol.2025.132850
13. Individual Influence of Climate Variability Indices on Annual Maximum Precipitation Across the Global Scale L. Belkhiri & T. Kim 10.1007/s11269-021-02882-8
14. Intra-annual dendrogeomorphic dating and climate linkages of flood events in headwaters of central Europe R. Tichavský et al. 10.1016/j.scitotenv.2020.142953
15. Nonstationary stochastic simulation method for the risk assessment of water allocation S. Chen et al. 10.1039/D0EW00695E
16. On the need of ensemble flood forecast in India J. Nanditha & V. Mishra 10.1016/j.wasec.2021.100086
17. Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability G. Papacharalampous & H. Tyralis 10.1016/j.jhydrol.2020.125205
18. Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity G. Papacharalampous et al. 10.1016/j.scitotenv.2020.144612
19. Modelling non-stationary flood frequency in England and Wales using physical covariates D. Faulkner et al. 10.2166/nh.2024.134
20. An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. 10.2166/nh.2021.156
21. Climate and rivers G. McGregor 10.1002/rra.3508
22. Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria L. Belkhiri & N. Krakauer 10.1007/s00477-023-02488-z
23. Global Changes in 20‐Year, 50‐Year, and 100‐Year River Floods L. Slater et al. 10.1029/2020GL091824
24. A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data B. Renard et al. 10.1029/2021WR030007
25. Flood trends in Europe: are changes in small and big floods different? M. Bertola et al. 10.5194/hess-24-1805-2020
26. Forecasting Monthly River Flows in Ukraine under Different Climatic Conditions R. Graf & V. Vyshnevskyi 10.3390/resources11120111
27. What Will the Weather Do? Forecasting Flood Losses Based on Oscillation Indices G. Guimarães Nobre et al. 10.1029/2019EF001450
28. Trends in Compound Flooding in Northwestern Europe During 1901–2014 P. Ganguli & B. Merz 10.1029/2019GL084220
29. An Overview of Flood Concepts, Challenges, and Future Directions A. Mishra et al. 10.1061/(ASCE)HE.1943-5584.0002164
30. Comparison of time trend- and precipitation-informed models for assessing design discharges in variable climate M. Šraj & N. Bezak 10.1016/j.jhydrol.2020.125374
31. Forecasting Magnitude and Frequency of Seasonal Streamflow Extremes Using a Bayesian Hierarchical Framework Á. Ossandón et al. 10.1029/2022WR033194
32. Hydroclimatic time series features at multiple time scales G. Papacharalampous et al. 10.1016/j.jhydrol.2023.129160
33. Synchronization and Delay Between Circulation Patterns and High Streamflow Events in Germany F. Conticello et al. 10.1029/2019WR025598
34. Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. 10.5194/hess-25-1347-2021
35. Using climate information as covariates to improve nonstationary flood frequency analysis in Brazil G. Anzolin et al. 10.1080/02626667.2023.2182212
36. Detecting Flood‐Rich and Flood‐Poor Periods in Annual Peak Discharges Across Europe D. Lun et al. 10.1029/2019WR026575
37. Combined predictive and descriptive tests for extreme rainfall probability distribution selection A. Ballarin et al. 10.1080/02626667.2022.2063725
38. A method for detecting the non-stationarity during high flows under global change Z. Zhang et al. 10.1016/j.scitotenv.2022.158341
39. The NAO Variability Prediction and Forecasting with Multiple Time Scales Driven by ENSO Using Machine Learning Approaches B. Mu et al. 10.1155/2022/6141966
40. Bringing realism into a dynamic copula-based non-stationary intensity-duration model R. Vinnarasi & C. Dhanya 10.1016/j.advwatres.2019.06.009