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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
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