{"schemaVersion":"1.0","generatedFrom":"https://brightaifuture.com/discoveries/pangu","record":{"id":"pangu","headline":"Weather in three dimensions.","canonicalUrl":"https://brightaifuture.com/discoveries/pangu","datePublished":"2026-09-05","dateModified":null,"sourcePublicationDate":"2023-07-05","author":null,"publisher":{"name":"Bright AI Future","url":"https://brightaifuture.com/"},"topics":[],"summary":"Pangu-Weather demonstrated medium-range forecasting with three-dimensional neural networks.","evidenceState":"Demonstrated","keyFacts":[{"label":"AI’s role","value":"A three-dimensional architecture learned spatial weather relationships."},{"label":"Documented result","value":"The paper reported strong forecast accuracy and computational speed."},{"label":"Important limitation","value":"The evaluation does not prove better decisions or preparedness."}],"limitations":["The evaluation does not prove better decisions or preparedness."],"evidenceLinks":[{"title":"Accurate medium-range global weather forecasting with 3D neural networks","url":"https://www.nature.com/articles/s41586-023-06185-3","type":"paper"}],"evidencePackUrl":"https://brightaifuture.com/evidence-pack/pangu","embedUrl":"https://brightaifuture.com/embed/story/pangu","attribution":{"credit":"Bright AI Future","requirements":["Link to the canonical Bright record.","Keep material limitations with the claim they qualify.","Link to the original evidence when repeating a substantive claim.","Do not describe a source check or organization-reported result as independent verification."],"sourceRights":"Linked source material, quotations, trademarks and media remain subject to their owners’ terms. No reuse right is granted for third-party media."}},"claim":{"humanProblem":"Forecasting must capture conditions across atmospheric layers.","priorConstraint":"Traditional systems numerically integrate physical equations.","aiRole":"A three-dimensional architecture learned spatial weather relationships.","documentedResult":"The paper reported strong forecast accuracy and computational speed.","whyItMayMatter":"Another route toward more accessible forecasting tools.","unresolvedQuestions":["Validate unusual weather and distribution shifts."]},"evidenceAssessment":{"state":"Demonstrated","claimConfidence":"unassessed","reviewState":"source-checked","reviewMethod":null,"reviewNote":"Legacy source check; no named human reviewer is recorded in this projection.","lastSourceReview":"2026-09-05","independentVerification":"not-established-by-this-source-review"},"sources":[{"id":"source:pangu","title":"Accurate medium-range global weather forecasting with 3D neural networks","url":"https://www.nature.com/articles/s41586-023-06185-3","type":"paper"}],"revisions":[],"corrections":[]}