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AI weather forecasting goes operational: ECMWF's AIFS (Feb 2025), then NOAA's AI models (Dec 2025)

★★★★scienceECMWFNOAAconfidence: high

On 25 Feb 2025 the European Centre for Medium-Range Weather Forecasts made its machine-learned AIFS Single model operational alongside its physics model. It was up to 20% better on tropical-cyclone tracks and used about 1,000× less energy per forecast. The AIFS ensemble followed on 1 Jul 2025. On 17 Dec 2025 NOAA deployed AIGFS (GraphCast-based), AIGEFS and the hybrid HGEFS operationally.

Key facts

Science result

Field
climate-weather / operational numerical weather prediction
Problem
Replacing or complementing physics-based operational forecasts
Result
Machine-learned models adopted as official operational forecasts by major national and international centres.
AI system
AIFS, AIGFS (GraphCast), AIGEFS, HGEFS
Human role
Human-built; used by operational forecasters
Verification
Operational verification by ECMWF and NOAA
Status
confirmed

What happened

Within about 15 months of GraphCast's publication, the world's leading forecast centres began issuing official forecasts from machine-learned models.

Why it matters

It is one of the fastest transitions of AI research into critical public infrastructure.

Changelog

  • 2026-09-29: created

Related events

  1. GraphCast: ML weather model beats the world's best physics-based 10-day forecast on 90% of targets ★★★★
  2. Microsoft's Aurora foundation model beats operational forecasts for air quality, waves, cyclones and weather ★★★
  3. DeepMind open-sources WeatherNext 2 and WeatherNext Cyclones with a Nature paper showing ~1 extra day of hurricane warning ★★★

Sources (3)

id: 2025-02-25-ecmwf-aifs-operational-ai-weather · updated 2026-09-29 · open in the interactive timeline