FloodSformer: Dam-Break datasets&checkpoints

Data used for the paper: Pianforini et al. (2024). Real-Time Flood Maps Forecasting for Dam-Break Scenarios with a Transformer-Based Deep Learning Model. Journal of Hydrology, 635, 131169. https://doi.org/10.1016/j.jhydrol.2024.131169 The repository contains the training/testing datasets and the checkpoints for two test cases: 1. Dam-break in a channel with a parabolic cross section 2. Dam-break in a rectangular tank The data for the third test case are unavailable due to restrictions on data permissions. More detailed information on the repository content are provided in the README.md file. Acknowledgements This research was granted by University of Parma through the action “Bando di Ateneo 2022 per la ricerca” co-funded by MUR-Italian Ministry of Universities and Research - D.M. 737/2021 - PNR - PNRR – NextGenerationEU. Renato Vacondio and Susanna Dazzi acknowledge financial support from the PNRR MUR project ECS_00000033_ECOSISTER.