Start with live guidance
Atmosight pulls provider forecast guidance, recent weather context, 15-minute nowcast data, nearby point samples, air quality, and official NWS context when it is available.
Your grandpa's weather app and The Weather Channel are optimized for a quick answer: current condition, hourly icons, and a daily high/low. Atmosight is optimized for the second-order questions that matter when weather affects a plan: what evidence supports this, where might it fail, how fast is it changing, and when should I check again?
Atmosight pulls provider forecast guidance, recent weather context, 15-minute nowcast data, nearby point samples, air quality, and official NWS context when it is available.
A deterministic transformer looks back over the last 96 hours, adjusts hourly temperature, precipitation, wind, confidence, and hazard signals, then exposes what it paid attention to.
Historical residual buckets and nearest analog windows keep the model honest about where it tends to miss, how wide intervals should be, and which regimes are thinly tested.
The first six hours are corrected with source-backed 15-minute precipitation, temperature, snow, condition, and gust signals so the immediate runway can change quickly.
Atmosight cross-checks provider guidance, NWS hourly forecasts, current station observations, official discussions, neighborhood spread, and historical verification before calling a forecast settled.
The output becomes a decision readout, watchlist, bust-risk score, recheck cadence, planning windows, departure guidance, and a phone-ready brief instead of just icons and highs.
Lower, expected, and higher-impact paths, timing spreads, reliability scores, and lead-time error budgets stay visible when the forecast is not settled.
Model drift, regime coverage, source consensus, observation disagreement, and neighborhood volatility are promoted before a pretty hourly chart can become false confidence.
Source freshness, official alerts, NWS forecast discussions, station checks, and model-vs-guidance deltas are part of the readout, not hidden in the machinery.
Backtests, analog replay, residual calibration, and pass/watch/fail quality gates connect today's forecast to the kinds of events where the model has helped or hurt.
It keeps National Weather Service alerts and forecast discussions in the evidence layer, then uses the local model, analogs, and verification context to explain how much confidence to place in the next few hours and days.
Waiting for verification and confidence evidence.
Next Six Hours
Historical Verification