Pangu TC Adapter¶
Overview¶
pangu_tc adds a second foundation-weather reference path behind the shared tropical-cyclone evaluator.
At a Glance¶
Tropical Cyclone
Public catalog grouping used for this model.
Experimental Adapter
Catalog maturity label used on the index page.
1
Track + Intensity
Primary benchmark-family link used for compatible evaluation coverage.
Description¶
pangu_tc adds a second foundation-weather reference path behind the shared tropical-cyclone evaluator.
The implementation is intentionally lightweight and should be interpreted as an adapter contract for forecast-field driven storm evaluation.
Benchmark Compatibility¶
Primary benchmark family: Tropical Cyclone Benchmark
Mapped benchmark ecosystems: IBTrACS
External References¶
Paper: Accurate medium-range global weather forecasting with 3D neural networks | Repo: Repository
Registry Name¶
Primary entrypoint: pangu_tc
Supported Tasks¶
Track + Intensity
Programmatic Use¶
import torch
from pyhazards.models import build_model
model = build_model(name="pangu_tc", task="regression", input_dim=8, horizon=5)
preds = model(torch.randn(2, 6, 8))
print(preds.shape)
Notes¶
Experimental adapter: intended for shared-evaluator prototyping rather than exact weather-model parity.