An ML forecast can run as a supported production system alongside retained physics-based forecasting.
Executive brief
A credible production transition retains parallel baselines, observable scorecards, and rollback capacity.
AI value · Operational model skill improvement
Verified4–6% overall skill improvement; up to 12% precipitation improvement in v1.1.0
Version-to-version AIFS comparison, not universal superiority over IFS; skill varies by variable and lead time.
Before
Runs physics-based numerical weather prediction from operational analyses. → Compare products, interpret uncertainty, and issue decisions through downstream services.
After
Generates deterministic global forecasts four times daily from ECMWF analyses. → Run AIFS alongside IFS, compare performance, and retain physics-based fallback and expert interpretation.
Human boundary
AIFS produces a forecast; ECMWF operations, forecasters, and downstream authorities retain release and warning decisions.
Why it matters
An ML forecast can run as a supported production system alongside retained physics-based forecasting.
Before
How the work ran before the change.
ECMWF Integrated Forecasting System
Runs physics-based numerical weather prediction from operational analyses.
ControlIFS operational verification and 24/7 support.
ECMWF forecasters and users
Compare products, interpret uncertainty, and issue decisions through downstream services.
ControlHuman/service authority; no single forecast automatically issues a warning.
What changed
An ML forecast can run as a supported production system alongside retained physics-based forecasting.
Decision rightSelection moves from a fixed rule to the model
After
How the same work runs now.
AIFS Single
Generates deterministic global forecasts four times daily from ECMWF analyses.
ControlPhysical bounding layers, open scorecards, operational monitoring, and 24/7 support.
ECMWF operations and users
Run AIFS alongside IFS, compare performance, and retain physics-based fallback and expert interpretation.
ControlIFS remains supported; model updates correct issues such as precipitation behavior.
Exception path
Operational degradation or variable-specific weakness is handled through parallel IFS comparison, monitoring, and version updates.
Decision authority
AIFS produces a forecast; ECMWF operations, forecasters, and downstream authorities retain release and warning decisions.
| # | Actor | Action | Control |
|---|---|---|---|
| 01 | ECMWF Integrated Forecasting System | Runs physics-based numerical weather prediction from operational analyses. | IFS operational verification and 24/7 support. |
| 02 | ECMWF forecasters and users | Compare products, interpret uncertainty, and issue decisions through downstream services. | Human/service authority; no single forecast automatically issues a warning. |
| # | Actor | Action | Control |
|---|---|---|---|
| 01 | AIFS Single | Generates deterministic global forecasts four times daily from ECMWF analyses. | Physical bounding layers, open scorecards, operational monitoring, and 24/7 support. |
| 02 | ECMWF operations and users | Run AIFS alongside IFS, compare performance, and retain physics-based fallback and expert interpretation. | IFS remains supported; model updates correct issues such as precipitation behavior. |
Work that left the path
Human role before
Operations run physics-based forecasts and forecasters interpret them.
Human role after
Operations support parallel ML and physics systems; users interpret both.
AI role
Produces an operational deterministic machine-learned global forecast.
AIFS Single 1.0.04–6% overall skill improvement; up to 12% precipitation improvement in v1.1.0
v1.1.0 released 2025-08-27; peer-reviewed 2026 · 24/7 operational global forecasting alongside IFS
Version-to-version AIFS comparison, not universal superiority over IFS; skill varies by variable and lead time.
Anti-pattern
Do not collapse a version-to-version gain into a claim that AI beats physics everywhere.
Questions
Portability conditions
Reputation risk
high