SAF-Net¶

Overview¶

saf_net adds an intensity-oriented storm baseline to the shared tc.track_intensity evaluator.

At a Glance¶

Hazard Family

Tropical Cyclone

Public catalog grouping used for this model.

Maturity

Implemented

Catalog maturity label used on the index page.

Tasks

Track + Intensity

Benchmark Family

Tropical Cyclone Benchmark

Primary benchmark-family link used for compatible evaluation coverage.

Description¶

saf_net adds an intensity-oriented storm baseline to the shared tc.track_intensity evaluator.

The adapter keeps full trajectory outputs so it can use the same report format as the other PyHazards storm models.

Benchmark Compatibility¶

Primary benchmark family: Tropical Cyclone Benchmark

Mapped benchmark ecosystems: TCBench Alpha

External References¶

Paper: SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction | Repo: Repository

Registry Name¶

Primary entrypoint: saf_net

Supported Tasks¶

Track + Intensity

Programmatic Use¶

import torch
from pyhazards.models import build_model

model = build_model(name="saf_net", task="regression", input_dim=8, horizon=5)
preds = model(torch.randn(2, 6, 8))
print(preds.shape)

Notes¶

Track channels are retained so the shared storm evaluator can score all baselines consistently.