AEFA Forecast¶

Synthetic-backed dense-grid forecasting adapter aligned to the AEFA earthquake forecasting workflow.

Overview¶

AEFA Forecast is the public forecasting adapter used by the earthquake benchmark when exercising dense-grid wavefield forecasting models.

The current implementation is synthetic-backed, but it preserves the task shape, tensor layout, and reporting surface used by the shared earthquake evaluator.

At a Glance¶

Provider	AEFA forecasting ecosystem surfaced through a PyHazards adapter
Hazard Family	Earthquake
Source Role	Forecast Benchmark
Coverage	Benchmark-aligned earthquake forecasting samples
Geometry	Dense-grid wavefield tensors
Spatial Resolution	Benchmark-defined dense sensor grid
Temporal Resolution	Short history and forecast windows
Update Cadence	Generated locally for smoke and benchmark-alignment runs
Period of Record	Synthetic-backed benchmark adapter
Formats	PyTorch tensors via the dataset registry
Registry Entry	`aefa_forecast`

Data Characteristics¶

Multichannel dense-grid history tensors paired with future dense-grid targets.
Registry-backed benchmark adapter rather than a raw external archive loader.
Intended for forecasting-path validation and report generation.

Typical Use Cases¶

Smoke tests for WaveCastNet-style earthquake forecasting.
Shared forecasting benchmark runs under the earthquake evaluator.
Validation of report exports aligned to the forecasting path.

Access¶

Use the links below to access the upstream source or its public documentation.

AEFA repository

PyHazards Usage¶

Use this adapter when you want the public earthquake forecasting benchmark surface rather than the private synthetic dataset name.

Registry Workflow¶

Primary dataset name: aefa_forecast

from pyhazards.datasets import load_dataset

data = load_dataset(
    "aefa_forecast",
    micro=True,
    temporal_in=5,
    temporal_out=4,
).load()

train = data.get_split("train")
print(train.inputs.shape, train.targets.shape)

micro=True keeps the synthetic-backed forecasting path lightweight for validation.

Inspection Workflow¶

This dataset is currently surfaced as a registry-backed benchmark adapter, so there is no standalone inspection CLI documented for it.

Notes¶

This is a benchmark adapter, not a full external AEFA ingestion pipeline.

Reference¶

AEFA.