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Will You Have a Snow Day Tomorrow?

Will school be cancelled tomorrow? Check your auto-detected forecast or search by ZIP code, city, or district for a real-time probability built from live weather, ice risk, and regional school-closure data.

0
❄️ Unlikely

Schools will likely remain open

95% confidence

Analysis Summary

“No significant snowfall is forecast.”

Risk Factor Breakdown

Snowfall
0
Ice Risk
0
Temperature
0
Storm Timing
0

Weather Data

Temperature

13°C

55°F

Snowfall

0.0cm

next 24h

Precipitation

0.0mm

total

Wind

9 km/h

6 mph

Computed 01:44 AMSource: Open-MeteoEngine v1.0 · SSR

SnowSense™ Intelligence

Storm Anatomy

Every factor analyzed in real-time to calculate your snow day probability

Snowfall

risk

0/100

0.0mm

No snowfall forecast

Forecast accumulation depth and intensity

Ice Risk

threat

0/100

Minimal

Surface temp: 13°C

Freezing rain, sleet, and black ice probability

Wind Chill

factor

0/100

13°C

Actual: 13°C · Wind: 9 km/h

Road freeze potential and wind chill impact

Storm Timing

window

0/100

No Risk

Clear timing for road crews

Overnight and early morning accumulation risk

24-Hour Timeline

Hourly Snowfall Curve

Peak

0.0mm

Total 24h

0.0mm

Peak Time

1 AM

Snowfall (mm)
1a4a7a10a1p4p7p10p
Data refreshed every 30 min

Edge Radar Cache

Live Doppler Scan

Tile generated at the edge, refreshed every 5 minutes, with synthetic precipitation cells modeled from regional storm history.

Live doppler radar tile for Columbus, OH
Doppler · Live
SCAN --:--:--Z
UTC · 6s SWP
FRQ 5.6 GHz
RNG 200 KM
MODE BASE-REFL
ELEV 0.5°
Columbus, OHEdge Tile · SWR 300s · Cached
BRG 000°
HEAD-UP · NORTH-LK

Transparent Technology

How SnowSense™ Works

A multi-source, edge-computed prediction engine calibrated to your region

Multi-Source Weather Data

We combine public forecast inputs for your location, including live weather, snow accumulation, temperature, and timing signals.

SnowSense™ Algorithm

Our proprietary prediction engine analyzes 4 key factors — snowfall, ice risk, temperature, and storm timing — weighted by regional tolerance.

Regional Calibration

Predictions account for local snow tolerance. A 3-inch snowfall closes schools in Atlanta but barely phases Boston.

Edge Computing

Results are rendered quickly with cached weather inputs refreshed throughout the day so the forecast stays responsive.

Privacy-First Design

No account required. No tracking cookies. Location is detected from IP headers at the edge — never stored.

Local Context Matters

The same snowfall can lead to different decisions depending on road treatment, bus routes, timing, and district tolerance.

What the forecast weighs

Core inputs used on every prediction

SnowSense is a forecast aid, not an official closure notice. Final school decisions still depend on district leadership and real-world road conditions.

Snowfall

Accumulation and hourly intensity

Ice Risk

Mixed precipitation and road impact

Timing

Whether the storm hits commute hours

Local Tolerance

How the region typically handles winter weather

Explore by Region

Snow Day Predictions by City

Check the snow day probability for any major city

Common Questions

Frequently Asked Questions

School closures in Columbus depend on multiple factors including accumulation rate, timing, ice risk, and the district's historical tolerance. Our SnowSense™ engine weighs all of these — not just total inches — to predict closures. Generally, 4-6 inches triggers closures in most Northeast cities, while 1-2 inches can shut down Southern cities.
Treat SnowSense as a forecast aid, not an official closure notice. We weigh snowfall, ice risk, temperature, storm timing, and local tolerance, but districts can still make different calls based on road crews, bus routes, and superintendent judgment.
Weather data is re-fetched and cached at the edge every 30 minutes. The prediction is computed server-side on every page load using the latest cached data, ensuring you always get current results without API overload.
Regional infrastructure plays a massive role. A city like Boston is equipped to handle 6 inches of snow with minimal disruption, whereas 2 inches in Atlanta could paralyze the road network due to a lack of plows and salt trucks.
The Calibration Layer lets you tune the prediction model with two signals: (1) Snow days already used this year — districts that have used most of their snow days tend to be more conservative, and (2) School type — private schools typically close more easily than public schools due to smaller bus fleets and parent-driven decisions.
Superintendents typically make closure decisions between 4-6 AM based on overnight accumulation and morning road conditions. In Columbus, this decision often involves coordination with city plowing operations and weather service updates.
While our core probability focuses on full closures, a high 'Timing' score (snow falling between 4 AM and 8 AM) combined with a moderate overall probability often strongly indicates a 2-hour delay.
Yes! Every prediction is encoded in the URL. When you share a link, anyone who opens it sees the exact same prediction with the same calibration settings. No account needed, no sign-up required.