Why are forecast snapshots useful?
Every 20 minutes, WeatherEdge records a forward-only analytics snapshot. That history lets users review how forecasts, prices, confidence, and model outputs changed before the final observation
Analytics history
Forecast Snapshots
Why forward-only forecast snapshots matter for reviewing how weather-market analytics changed before actual outcomes were known
Why snapshots matter
A live forecast can change many times before a weather market settles. A snapshot records the state of the analysis at a specific moment so future reviews can see what the model knew then, not only what is known after the outcome
That time-by-time history is important for model evaluation, backtesting, and understanding where confidence improved or deteriorated
The 20 minute cadence
Every 20 minutes, the production scheduler records available forecast inputs, market context, model outputs, and analysis-ready state. This cadence is frequent enough to study changes without collecting unnecessary second-by-second noise
What accumulated history unlocks
As snapshots accumulate, WeatherEdge can support richer historical review
- Compare forecast movement before and after major weather updates
- Review when model confidence changed and whether that change was justified
- Backtest model behavior against actual station observations
- Build a clearer audit trail for why a market looked interesting at the time
Common questions
Why not record every second?
Second-by-second storage adds noise and cost without improving most weather-market research. A 20 minute cadence gives enough resolution for meaningful analysis while keeping history manageable
Can snapshots improve model audits?
Yes. Snapshots preserve what the model showed at the time, which makes later accuracy reviews and backtests more honest than judging only the final state