| license: mit | |
| # FLASHCast Dataset | |
| This repository contains the training, validation, and testing datasets for **FLASHCast**, an auto-regressive unit streamflow and flash flood prediction deep learning architecture. | |
| ## Dataset Structure | |
| * **`data/unitq/`**: Sparse numpy arrays representing sequential geographical streamflow over time. | |
| * **`data/precip/`**: Matrix arrays recording precipitation and atmospheric forcings (MRMS/WoFS). | |
| * **`data/static/`**: Static geographical mappings such as flow accumulation and ground elevation properties. | |
| ## Origin Context | |
| Processed via UNetDiffusion (`miles-credit` backbone) utilizing high-resolution continuous hydrological models covering the Continental US (CONUS). | |
| _Total Size: ~151 GB_ |