Weather Ensemble Forecast

Compare weather forecasts from up to 9 independent global weather models side-by-side.

No setup needed -- just install and run /forecast nyc.

What this skill does

• Fetches high temperature forecasts from multiple weather models: GFS, ECMWF, JMA, GEM, MeteoFrance, UKMO, ICON, ARPEGE, GraphCast
• Shows each model's individual prediction so you can see where they agree and disagree
• Calculates ensemble standard deviation (how uncertain the forecast is)
• Cross-validates with NWS (National Weather Service) official forecasts
• Covers 16 cities: NYC, Chicago, Miami, Dallas, Atlanta, Seattle, Toronto, London, Paris, Munich, Seoul, Ankara, Wellington, Lucknow, Buenos Aires, Sao Paulo

Quick Start

/forecast nyc

That's it. Works immediately with free tier (NYC, Chicago, Miami).

For full access (all 16 cities), set an API key:

curl -X POST https://polymarket-scanner.fly.dev/keys/free

Then set: export WEATHER_ENSEMBLE_API_KEY="pm_your_key_here"

Commands

/forecast - Get multi-model forecast

Compare forecasts from all available weather models for a city.

When the user asks for a weather forecast, temperature prediction, model comparison, or ensemble analysis, run:

bash {baseDir}/scripts/forecast.sh "<city>" "<date>"

Where is a city key (e.g., nyc, london, seoul). Run /cities to see all options.

And is optional, in YYYY-MM-DD format (defaults to tomorrow).

Display results showing each model's prediction, the ensemble average, and standard deviation.

/cities - List available cities

bash {baseDir}/scripts/cities.sh

Use Cases

• Weather enthusiasts: See how GFS, ECMWF, and other models compare for your city
• Event planners: Check forecast confidence before outdoor events
• Researchers: Access raw multi-model data for analysis
• Travelers: Get high-confidence forecasts when models agree, warnings when they don't
• Prediction market traders: Use ensemble data to evaluate temperature market positions (see polymarket-weather-scanner skill)

How It Works

1. Queries the Weather Ensemble API for forecasts from each weather model
2. Returns individual model predictions so you can see the spread
3. Calculates ensemble statistics: mean, standard deviation
4. Higher standard deviation = more uncertainty = models disagree
5. Low standard deviation = high confidence = models agree

External Endpoints

All requests are sent to the Weather Ensemble API server.

Security & Privacy

• Works without an API key (anonymous free tier with IP-based rate limiting)
• All requests are sent to the Weather Ensemble API server (polymarket-scanner.fly.dev) via HTTPS
• Weather data is sourced from Open-Meteo and aggregated server-side
• No personal data collected or stored