42 citations as recorded by crossref.

1. The need to reconfigure consistency and variability to best manage changing flood risks in Aotearoa‐New Zealand S. Serrao‐Neumann et al. https://doi.org/10.1080/03036758.2023.2211777
2. Coastal Flood Risk and Smart Resilience Evaluation under a Changing Climate P. Shen et al. https://doi.org/10.34133/olar.0029
3. The Cost of Imperfect Knowledge: How Epistemic Uncertainties Influence Flood Hazard Assessments M. Balbi & D. Lallemant https://doi.org/10.1029/2023WR035685
4. Climate change impacts on spatial and seasonal meteorological drought characteristics for the island of Ireland H. Meresa & C. Murphy https://doi.org/10.1002/joc.8217
5. Climate Gentrification: Valuing Perceived Climate Risks in Property Prices J. Thompson et al. https://doi.org/10.1080/24694452.2022.2156318
6. Are open-source hydrodynamic models efficient in quantifying flood risks over mountainous terrains? An exhaustive analysis over the Hindu-Kush-Himalayan region T. Namgyal et al. https://doi.org/10.1016/j.scitotenv.2023.165357
7. Orographic control on bias and uncertainty in extreme sub-daily precipitation simulations from a convection-permitting ensemble N. Correa-Sánchez et al. https://doi.org/10.1016/j.jhydrol.2025.133324
8. Assessing uncertainty in hydrological projections arising from local-scale internal variability of climate Q. Yuan et al. https://doi.org/10.1016/j.jhydrol.2023.129415
9. Climate Change Impacts on Irish River Flows: High Resolution Scenarios and Comparison with CORDEX and CMIP6 Ensembles C. Murphy et al. https://doi.org/10.1007/s11269-023-03458-4
10. The Influence of Climate and Hydrological Factors on the Phenological Characteristics of Populus euphratica in the Oasis of the Central Taklamakan Desert Y. Liu et al. https://doi.org/10.3390/f16030447
11. Current Trends and Future Scenarios: Modeling Maximum River Discharge in the Zhaiyk–Caspian Basin (Kazakhstan) Under a Changing Climate S. Alimkulov et al. https://doi.org/10.3390/hydrology12110278
12. The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs Y. Song et al. https://doi.org/10.1007/s11269-022-03338-3
13. Hydrological climate change impact assessment in high latitudes: are bucket-type models up to the task? A. Todorović et al. https://doi.org/10.1016/j.envsoft.2026.106964
14. Evaluating the uncertainty of climate model structure and bias correction on the hydrological impact of projected climate change in a Mediterranean catchment A. Senatore et al. https://doi.org/10.1016/j.ejrh.2022.101120
15. Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models D. Muñoz et al. https://doi.org/10.5194/hess-28-2531-2024
16. Parameter Sensitivity and Uncertainty Analysis of the Distributed Xin’anjiang Model in the Xixian Basin, Upper Huaihe River, China J. Sun et al. https://doi.org/10.1061/AJRUA6.RUENG-1874
17. GHydroMod-SIM-DAI v1.0: A new distributed hydrological model capable of dynamically recognizing runoff generation mechanisms and accounting for aboveground and underground anthropogenic impacts Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134184
18. Evaluating statistical and machine learning bias-correction methods for CMIP6 rainfall projections in a tropical megacity N. Miniandi et al. https://doi.org/10.1007/s00704-026-06223-w
19. Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al. https://doi.org/10.1007/s11069-023-06017-7
20. Disentangling atmospheric, hydrological, and coupling uncertainties in compound flood modeling within a coupled Earth system model D. Feng et al. https://doi.org/10.5194/nhess-25-3619-2025
21. Simulated Changes in Seasonal and Low Flows with Climate Change for Irish Catchments H. Meresa et al. https://doi.org/10.3390/w14101556
22. Uncertainty analysis of 100-year flood maps under climate change scenarios S. Alipour et al. https://doi.org/10.1016/j.jhydrol.2023.130502
23. Evaluating flash flood simulation capability with respect to rainfall temporal variability in a small mountainous catchment X. Wang et al. https://doi.org/10.1007/s11442-023-2188-5
24. Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya M. Wanzala et al. https://doi.org/10.1016/j.ejrh.2022.101105
25. Understanding Flood Vulnerability in Local Communities of Kogi State, Nigeria, Using an Index-Based Approach P. Oyedele et al. https://doi.org/10.3390/w14172746
26. Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method C. Rajulapati & S. Papalexiou https://doi.org/10.1029/2023EA002823
27. Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment S. Band et al. https://doi.org/10.1016/j.indic.2025.100727
28. A novel quintile multi-model ensemble approach for improving future extreme precipitation projections using XGBoost Y. Song et al. https://doi.org/10.1088/2632-2153/adfcb1
29. Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al. https://doi.org/10.1029/2022JD038025
30. Differences in hydrological impacts using regional climate model and nested convection-permitting model data A. Kay https://doi.org/10.1007/s10584-022-03405-z
31. Trends in reconstructed monthly, seasonal and annual flows for Irish catchments (1900–2016) P. O'Connor et al. https://doi.org/10.1002/wea.4288
32. WITHDRAWN: Mapping the groundwater memory across Ireland: a step towards a groundwater drought susceptibility assessment P. Schuler et al. https://doi.org/10.1016/j.hydroa.2022.100131
33. Evaluation of future flood probability in agricultural reservoir watersheds using an integrated flood simulation system J. Kwak et al. https://doi.org/10.1016/j.jhydrol.2023.130463
34. The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes S. Fordham & C. Murphy https://doi.org/10.1002/joc.70346
35. Analysing Urban Flooding Risk with CMIP5 and CMIP6 Climate Projections R. Oyelakin et al. https://doi.org/10.3390/w16030474
36. Mapping the groundwater memory across Ireland: A step towards a groundwater drought susceptibility assessment P. Schuler et al. https://doi.org/10.1016/j.jhydrol.2022.128277
37. Assessing future flood hazards in the major rivers of Bangladesh using CMIP6 projections and integrated hydrologic-hydraulic modeling A. Aishi et al. https://doi.org/10.1016/j.acags.2026.100327
38. Significant contribution of bias correction methods to uncertainty in future runoff projections under CMIP6 climate change S. Chae & E. Chung https://doi.org/10.1016/j.ejrh.2024.101973
39. Implementing Climate Change Adaptation in Territory Spatial Planning Systems: Challenges and Approaches Based on Practices in Guiyang L. Zong et al. https://doi.org/10.3390/ijerph20010490
40. The emergence of a climate change signal in long-term Irish meteorological observations C. Murphy et al. https://doi.org/10.1016/j.wace.2023.100608
41. Local-scale flood hazard projections in historically vulnerable communities S. Bista et al. https://doi.org/10.1007/s40808-025-02599-2
42. An Integrative Framework for Assessment of Urban Flood Response to Changing Climate L. Pal et al. https://doi.org/10.1029/2023WR034466