FloodCastBench (mirror)

Re-hosted for use in a CNN-LSTM spatiotemporal flood forecasting course project, to allow selective per-region download from Google Colab (snapshot_download(..., allow_patterns=...)) instead of a single non-resumable 21.6GB Zenodo archive.

Original dataset: Xu, Q., Shi, Y., Zhao, J. et al. "FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting." Scientific Data 12, 431 (2025). https://doi.org/10.1038/s41597-025-04725-2

Original source: https://zenodo.org/records/14017092 (CC BY 4.0)

All credit for the dataset itself belongs to the original authors. This is an unmodified re-upload of the same files for data-access convenience only.

Structure

• High-fidelity flood forecasting/<30m|60m>/<Australia|UK>/ - per-timestep depth TIFFs
• Low-fidelity flood forecasting/480m/<Pakistan|Mozambique>/ - per-timestep depth TIFFs
• Relevant data/ - DEM, land use, rainfall, georeferenced world files, initial conditions

Filenames are unpadded integers (simulation seconds) - sort numerically, not alphabetically.