34 citations as recorded by crossref.

1. Europe's transport infrastructure is not ready to face climate change C. Deidda et al. https://doi.org/10.5194/nhess-26-3345-2026
2. Leveraging normalized data to improve point-scale estimates of precipitation–temperature scaling rates M. Switanek et al. https://doi.org/10.5194/hess-30-1719-2026
3. Estimation of design precipitation using weather radar in Germany: A comparison of statistical methods K. Lengfeld & F. Marra https://doi.org/10.1016/j.ejrh.2024.101952
4. Urbanization Enhances Shorter‐Duration Precipitation Intensity in the Yangtze River Delta Region X. Xie et al. https://doi.org/10.1029/2024JD043300
5. A 2°C warming can double the frequency of extreme summer downpours in the Alps N. Peleg et al. https://doi.org/10.1038/s41612-025-01081-1
6. A simple and robust approach for adapting design storms to assess climate-induced changes in flash flood hazard N. Peleg et al. https://doi.org/10.1016/j.advwatres.2024.104823
7. A process-informed framework linking temperature-rainfall projections and urban flood modeling W. Zou et al. https://doi.org/10.5194/hess-30-5097-2026
8. Enhancing generalizability of data-driven urban flood models by incorporating contextual information T. Cache et al. https://doi.org/10.5194/hess-28-5443-2024
9. Development of intensity-duration-frequency curves using machine learning and satellite-derived precipitation data E. Dargham & C. Andraos https://doi.org/10.3389/frwa.2026.1727182
10. Predictive modeling of daily precipitation occurrence using weather data of prior days in various climates G. Mahtabi et al. https://doi.org/10.1007/s12145-024-01289-4
11. Deriving Future Rainfall Depth-Duration-Frequency Curves from Hourly Regional Climate Projections and Simple Scaling in Sicily G. Buonacera et al. https://doi.org/10.1007/s11269-025-04219-1
12. Precipitation-driven typology of storms in the Alps G. Papacharalampous et al. https://doi.org/10.1016/j.hydroa.2026.100223
13. Climate change shifts risk of soil salinity and land degradation in water-scarce regions I. Kramer et al. https://doi.org/10.1016/j.agwat.2024.109223
14. Modelling non-stationarity in extreme rainfall using large-scale climate drivers L. Jayaweera et al. https://doi.org/10.1016/j.jhydrol.2024.131309
15. Quantifying rainfall variability and potential hazards of extreme events in Beijing through stochastic simulations T. Li et al. https://doi.org/10.1016/j.ejrh.2025.103068
16. Record-breaking rainfall: a stochastic approach for its prediction M. Chen et al. https://doi.org/10.1038/s44304-025-00148-6
17. 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
18. Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data N. Ebers et al. https://doi.org/10.5194/nhess-24-2025-2024
19. Duration-dependent relationships between storm characteristics and extreme precipitation statistics E. Dallan https://doi.org/10.1016/j.hydroa.2026.100224
20. Evolving patterns of hourly rainfall extremes across seasonal regimes in Chennai, India P. Bheeman & S. Rangarajan https://doi.org/10.1007/s11600-026-01803-w
21. Benefits of the simplified MEV for analyzing hourly precipitation extremes in a changing climate M. Lennartz et al. https://doi.org/10.5194/nhess-26-3273-2026
22. Evaluation and projection of extreme rainfall from a large ensemble of high–resolution regional climate models in Australia L. Jayaweera et al. https://doi.org/10.1016/j.wace.2025.100818
23. Extreme Rainfall Estimation Methods: A Review D. Faulkner et al. https://doi.org/10.1002/met.70233
24. Projected changes in sub-daily extreme precipitation: comparing temperature-scaling approaches and convection-permitting models across an Alpine gradient R. Akbary et al. https://doi.org/10.1016/j.jhydrol.2026.135356
25. Duration-conditioned temporal profiles and synchronization networks reveal regional organization of midlatitude precipitation events C. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.136382
26. A Universal Multifractals perspective into the link between rainfall variability and temperature A. Gires & Y. Torres https://doi.org/10.5194/hess-30-4741-2026
27. 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
28. Meta-modelling paths of simple climate models using neural networks and dirichlet polynomials: an application to DICE E. Gobet et al. https://doi.org/10.1007/s13385-025-00438-3
29. Impacts of urban dynamics and thermodynamics on convective rainfall across different urban forms H. Torelló-Sentelles et al. https://doi.org/10.1016/j.uclim.2025.102499
30. Non-stationary frequency analysis of long-term convection permitting simulations reveals sub-daily extreme precipitation changes in central-southern Europe M. Lompi et al. https://doi.org/10.1016/j.advwatres.2025.105071
31. Technical note: Temperature dependence of precipitation tail heaviness in the TENAX model E. Thomas et al. https://doi.org/10.5194/hess-30-4957-2026
32. Future precipitation extremes and urban flood risk assessment using a non-stationary and convection-permitting climate-hydrodynamic modeling framework P. Laux et al. https://doi.org/10.1016/j.jhydrol.2025.133607
33. Hotter summers, heavier showers: Global warming and its impact on Swiss short-duration rainfall extremes N. Peleg et al. https://doi.org/10.1016/j.wace.2025.100829
34. Topographic and Climatic Controls on Depth–Duration–Frequency Curve Parameters in the Gargano Promontory (Southern Italy) G. Iemmolo et al. https://doi.org/10.3390/hydrology13070188