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THE GRID

SECTION 13

ISSUE 001

OBSERVEDsafetynowconfidence / high

Weather Distribution-Shift Alarms

An AI forecast can drift because the world changed—or because its upstream analysis system did. Weather services need alarms for both: observing-network shifts, climate regimes, data pipelines, and physics-model upgrades. When distributions move, widen uncertainty, compare alternatives, and document the retraining decision before yesterday’s score becomes today’s false assurance.

Why this idea is here

What the evidence establishes.

ECMWF documented downstream effects from an analysis-system upgrade and stopped some external real-time models after verification; AIFS itself was adapted.

Source ledger

Read the sources.

  1. S01
    Farewell to the External AI Models

    official verification report / published 2026-05-11 / retrieved 2026-07-09

  2. S02
    AIFS Machine Learning Data

    official operational dataset / published 2026-05-12 / retrieved 2026-07-09

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