About Our Snow Day Calculator
The Snow Day Calculator uses advanced weather prediction algorithms combined with machine learning to provide the most accurate school closing forecasts available online. Developed by meteorologists and data scientists, our calculator analyzes multiple factors:
- Current National Weather Service forecasts
- Historical school closing patterns in your region
- Snowfall amounts and accumulation rates
- Temperature and wind conditions
- Local road maintenance capabilities
- School district policies regarding winter weather
With over 500,000 predictions made since our launch, the Snow Day Calculator has become the most trusted resource for students, parents, and educators nationwide when winter weather threatens.
Frequently Asked Questions
How accurate is the Snow Day Calculator?
Our Snow Day Calculator has achieved an 86% accuracy rate over the past three winter seasons. We continuously improve our algorithm by incorporating new weather data and school closing patterns.
When should I check for snow day predictions?
For the most accurate results, check the night before a potential snow day. Weather forecasts become more reliable as the predicted snow event approaches, and our calculator updates predictions every hour.
Why do school types matter for predictions?
Different types of educational institutions have different thresholds for declaring snow days. For example, colleges typically require more severe conditions to close than K-12 schools, while private schools may have different policies than public schools.
Can I get alerts for potential snow days?
Yes! Sign up for our free Snow Day Alert service to receive notifications when the probability of a snow day in your area rises above 50%. You'll be the first to know when conditions look favorable for school closings.
Does the calculator work for delayed openings too?
Currently, our calculator focuses on full-day closings. However, many of the same factors that lead to snow days also contribute to delayed openings, so a moderate prediction (30-60%) often indicates a possible delay.