aerostratospheric/uogw
Updated • 447 • 1
How to use aerostratospheric/uogw-tornado-trends with Scikit-learn:
from huggingface_hub import hf_hub_download
import joblib
model = joblib.load(
hf_hub_download("aerostratospheric/uogw-tornado-trends", "sklearn_model.joblib")
)
# only load pickle files from sources you trust
# read more about it here https://skops.readthedocs.io/en/stable/persistence.htmlSeparate research model package for tornado climatology and Midwest / Clark County trends.
Publisher: Aerostratospheric
| Head | What it does |
|---|---|
| state_month_count | Predicts expected tornado counts by U.S. state × month × year (SPC 1950–2024) |
| ef_severity | Maps path geometry proxies → EF/mag bin (0–5) |
| midwest_annual_trend | Linear long-term Midwest annual count trend |
| clark_pre_tornado_research | Fits UOGW Clark County pre-tornado research score vs components (when history available) |
Data: NOAA/SPC Severe Weather Database tornado CSV + UOGW pre-tornado-clark desk products.
NOT a warning, watch, or official outlook. For open-science screening and education only.
Trained 2026-09-18T15:34:31Z. See metrics.json.