UrbanFloodCast¶
Overview¶
urbanfloodcast adds an urban-focused raster baseline to the PyHazards inundation benchmark stack.
At a Glance¶
Flood
Public catalog grouping used for this model.
Implemented
Catalog maturity label used on the index page.
1
Inundation
Primary benchmark-family link used for compatible evaluation coverage.
Description¶
urbanfloodcast adds an urban-focused raster baseline to the PyHazards inundation benchmark stack.
The implementation keeps the shared spatiotemporal tensor contract used by the synthetic inundation smoke dataset.
Benchmark Compatibility¶
Primary benchmark family: Flood Benchmark
Mapped benchmark ecosystems: FloodCastBench
External References¶
Paper: UrbanFloodCast: WMO Urban Flooding Forecasting Challenge | Repo: Repository
Registry Name¶
Primary entrypoint: urbanfloodcast
Supported Tasks¶
Inundation
Programmatic Use¶
import torch
from pyhazards.models import build_model
model = build_model(name="urbanfloodcast", task="regression", in_channels=3, history=4)
preds = model(torch.randn(2, 4, 3, 16, 16))
print(preds.shape)
Notes¶
Outputs are next-horizon inundation depth rasters.