How Our Snow Day Predictions Work
We combine current weather data with simple rules to estimate the chance of a snow day for supported locations. This page explains our inputs, logic, update cadence, and limitations.
Data Sources
- OpenWeather current conditions (temperature, precipitation type, snowfall).
- Basic heuristics for temperature thresholds and snow indicators.
Model Logic (High Level)
- Strong snow signal → high probability (e.g., active snow conditions).
- Freezing temps (≤ 32°F) increase likelihood; near‑freezing (≤ 35°F) moderate chance.
- When conditions are warm and no snow is observed, probability is low.
Update Cadence
We fetch fresh weather data frequently and set caching at roughly five minutes. During storms, refresh the page for the latest data.
Limitations
- No school‑district policies or road reports are included.
- Microclimates and rapid changes may not be captured instantly.
- Use official sources for closures and emergency information.
Questions or feedback? Reach out so we can improve accuracy and coverage.