52/100

Moderate evidence

GainPublished recordClimateGood Space

AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS

Truvace record
TRV-2026-2622raw data (JSON)
Version
v1Published
First published
Evidence type
Benchmark or lab evaluation
Sources
1 sourcePeer-reviewed
sha256
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We present version 1.1.0 of ECMWF's Artificial Intelligence Forecasting System (AIFS Single), operational since 25 February 2025. The revised system introduces a bounding-layer framework that enforces physical constraints, such as non-negativity and internal consistency within precipitation and cloud cover variables, alongside expanded training data, revised loss weighting, and an extended set of surface and atmospheric variables. Overall skill improves by 4 %–6 % in the upper air and near-surface variables with…

The gain

In a model evaluation, ECMWF's updated AI forecast system AIFS Single 1.1.0 improved upper-air and near-surface skill by 4%–6% and precipitation skill by up to 12%, gaining about 1 day on a categorical measure.

Sources

1 on file
  1. Geoscientific Model Developmentdoi:10.5194/gmd-19-4703-2026
    Peer-reviewed2026-06-01

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v1

Truvace Impact Record TRV-2026-2622, v1: “AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS.” Truvace, 2026-11-12. /record/TRV-2026-2622 (accessed on the day you copy it). sha256 a1e77804c9cb3a09…

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