ECMWF

ECMWF Integrated Forecast System

European Centre for Medium-Range Weather Forecasts · 0.4° (OpenData) · 15 days · Twice daily

Latest Run: 20260529 12Z
Generated 1 hour ago

What This Model Is Showing

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The European model — widely considered the most accurate global forecast model. Free OpenData access provides reduced-resolution products.

Best for: Highest-skill global forecast, hurricane tracking, comparison with GFS

500mb Heights — Atmospheric Pattern

ECMWF · 20 frames
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Sea Level Pressure — Surface Systems

ECMWF · 20 frames
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Learn

How to Read ECMWF Charts

The "Euro" Model

The ECMWF IFS (often called "the Euro") is widely considered the most accurate global forecast model in the world. It consistently outperforms the American GFS in verification scores, especially for medium-range (3-10 day) forecasts.

European weather agencies pooled resources to build it, and it runs at higher resolution with more sophisticated physics than GFS. When GFS and ECMWF disagree, experienced forecasters typically lean toward the Euro.

When to trust ECMWF over GFS: - Storm track forecasting (hurricane paths, nor'easters) - 5-10 day pattern changes - Precipitation type and amounts

When GFS might be better: - Very short range (0-24h) in the continental US - When ECMWF data is from the older 12Z run and GFS has a fresh 18Z run

We pull ECMWF data from their free OpenData service at 0.4° resolution — slightly coarser than the operational model, but the same physics and the same skill.

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Comparing GFS and ECMWF

The most valuable thing you can do with model data is compare. Pull up the GFS 500mb F072 and the ECMWF 500mb F072 side by side.

If they agree: High confidence. The pattern is well-determined and you can plan around it.

If they disagree on position: The truth is usually between them, but closer to ECMWF. A trough that GFS puts over Ohio and ECMWF puts over Virginia will probably end up somewhere in between, but lean Virginia.

If they disagree on existence: One model has a feature the other doesn't? Check GEFS and ECMWF EPS ensemble spread in that area. If the ensembles show high spread, the feature is uncertain regardless of what the deterministic runs show.

For equestrians: This is how you become a better forecaster over time. Watch where the models disagree, make a prediction (use the Forecast Challenge!), and see who was right. After a few months, you'll develop intuition for which model handles your region better.

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Page auto-refreshes every 10 minutes. Data sourced from European Centre for Medium-Range Weather Forecasts.

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