23 citations as recorded by crossref.

1. Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al. https://doi.org/10.3390/w14060994
2. The Impact of Rainfall Movement Direction on Urban Runoff Cannot Be Ignored in Urban Hydrologic Management Y. Liu et al. https://doi.org/10.3390/w13202923
3. Disaster Chain Analysis of Landfill Landslide: Scenario Simulation and Chain-Cutting Modeling W. Xiu et al. https://doi.org/10.3390/su13095032
4. A parsimonious post-processor for uncertainty evaluation of ensemble precipitation forecasts: an application to quantitative precipitation forecasts for civil protection purposes D. Biondi et al. https://doi.org/10.2166/nh.2021.045
5. Rainfall Threshold for Flash Flood Warning Based on Model Output of Soil Moisture: Case Study Wernersbach, Germany T. Luong et al. https://doi.org/10.3390/w13081061
6. Early-Warning Signals of Drought-Flood State Transition over the Dongting Lake Basin Based on the Critical Slowing Down Theory H. Wu et al. https://doi.org/10.3390/atmos12081082
7. The Dynamic Change and Effect of Rainfall Induced Groundwater Flow Y. He et al. https://doi.org/10.3390/w13192625
8. Learning Case Study of a Shallow-Water Model to Assess an Early-Warning System for Fast Alpine Muddy-Debris-Flow A. Pasculli et al. https://doi.org/10.3390/w13060750
9. Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al. https://doi.org/10.1080/02626667.2025.2490780
10. A Research by Design Strategy for Climate Adaptation Solutions: Implementation in the Low-Density, High Flood Risk Context of the Lake District, UK I. Psarra et al. https://doi.org/10.3390/su132111847
11. The Weather model (Indus Village): Procedural generation of daily weather for the simulation of small-scale socioecological systems A. Angourakis et al. https://doi.org/10.1016/j.envsoft.2025.106634
12. Lithological terrain-based rainfall thresholds for possible initiation of shallow landslides in South Korea J. Lee et al. https://doi.org/10.1007/s00477-023-02568-0
13. Warning Models for Landslide and Channelized Debris Flow under Climate Change Conditions in Taiwan H. Chen & C. Chen https://doi.org/10.3390/w14050695
14. Early Warning Signals of Dry-Wet Transition Based on the Critical Slowing Down Theory: An Application in the Two-Lake Region of China H. Wu et al. https://doi.org/10.3390/atmos14010126
15. EDDA 2.0: integrated simulation of debris flow initiation and dynamics considering two initiation mechanisms P. Shen et al. https://doi.org/10.5194/gmd-11-2841-2018
16. Early warning system using tilt sensors in Chibo, Kalimpong, Darjeeling Himalayas, India A. Dikshit et al. https://doi.org/10.1007/s11069-018-3417-6
17. Event-based rainfall warning regression model for landslide and debris flow issuing C. Chen https://doi.org/10.1007/s12665-020-8877-9
18. Forecasting Summer Rainfall and Streamflow over the Yangtze River Valley Using Western Pacific Subtropical High Feature R. He et al. https://doi.org/10.3390/w13182580
19. The Relationships between Public Risk Perceptions of Climate Change, Environmental Sensitivity and Experience of Extreme Weather-Related Disasters: Evidence from Greece M. Diakakis et al. https://doi.org/10.3390/w13202842
20. Assessing framework of rainfall-induced landslide hazard considering spatiotemporal asymmetry in extreme precipitation indices under climate change C. Yan & D. Gong https://doi.org/10.1007/s00704-024-05106-2
21. Examples of Application of GASAKe for Predicting the Occurrence of Rainfall-Induced Landslides in Southern Italy O. Terranova et al. https://doi.org/10.3390/geosciences8020078
22. Rainfall nowcasting model for early warning systems applied to a case over Central Italy D. De Luca & G. Capparelli https://doi.org/10.1007/s11069-021-05191-w
23. Evaluation and Application of Reanalyzed Combined Data under Extreme Climate Conditions: A Case Study of a Typical Flood Event in the Jinsha River D. Guo et al. https://doi.org/10.3390/atmos13020263