15 citations as recorded by crossref.

1. Regional Copula Modeling of Rainfall Duration and Intensity: Derivation and Validation of IDF Curves in the Kastoria Basin E. Leivadiotis et al.
2. A probabilistic machine learning framework for daily extreme events forecasting A. Sattari et al.
3. Accounting for the uncertainty of precipitation forecasts and its impacts on probabilistic flood inundation mapping skill F. Gomez et al.
4. Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging A. Sattari et al.
5. Unraveling uncertainty in compound flood modeling: sensitivity of simulations to forcings and model parameters C. Wang et al.
6. Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework P. Maduwantha et al.
7. A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics S. Daramola et al.
8. Physics-Informed Bayesian Markov random field approach for road flooding inference from sparse post-disaster observations S. Cao et al.
9. FLDSensing: Remote Sensing Flood Inundation Mapping with FLDPLN J. Edwards et al.
10. Performance evaluation and comparison of Delft3DFM and TUFLOW FV for urban flood simulation along Tapi River, India S. Rajendiran et al.
11. A Transformer-Based Probabilistic Deep Learning Framework for Uncertainty-Aware Long-Range Flood Forecasting Using Satellite-Derived Mesoscale Inputs F. Ghobadi et al.
12. DEM-based pluvial flood inundation modeling at a metropolitan scale A. Samadi et al.
13. Spatial delineation of the compound flood transition zone using deep learning F. Yarveysi et al.
14. Enhancing compound flood simulation accuracy and efficiency in urbanized coastal areas using hybrid meshes and modified digital elevation model E. Hamidi et al.
15. Coping with data scarcity in extreme flood forecasting: A deep generative modeling approach A. Sattari & H. Moradkhani