TCIF-fusion¶

Overview¶

tcif_fusion combines multiple feature streams behind the shared storm forecasting interface used throughout the PyHazards cyclone roadmap.

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¶

tcif_fusion combines multiple feature streams behind the shared storm forecasting interface used throughout the PyHazards cyclone roadmap.

The adapter focuses on the fusion contract and evaluator compatibility rather than full reproduction of the original training stack.

Benchmark Compatibility¶

Primary benchmark family: Tropical Cyclone Benchmark

Mapped benchmark ecosystems: TCBench Alpha

External References¶

Paper: Tropical cyclone intensity forecasting using model knowledge guided deep learning model | Repo: Repository

Registry Name¶

Primary entrypoint: tcif_fusion

Supported Tasks¶

Track + Intensity

Programmatic Use¶

import torch
from pyhazards.models import build_model

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

Notes¶

Outputs are shared storm forecast trajectories over the configured horizon.