{"schemaVersion":"1.0","generatedFrom":"https://brightaifuture.com/discoveries/floods","record":{"id":"floods","headline":"More time before the flood.","canonicalUrl":"https://brightaifuture.com/discoveries/floods","datePublished":"2026-09-05","dateModified":null,"sourcePublicationDate":"2024-03-20","author":null,"publisher":{"name":"Bright AI Future","url":"https://brightaifuture.com/"},"topics":[],"summary":"Researchers demonstrated useful river-flood forecasts in watersheds with no local streamflow gauges.","evidenceState":"Demonstrated","keyFacts":[{"label":"AI’s role","value":"A model learned from hydrological data across watersheds."},{"label":"Documented result","value":"At up to five days ahead, reliability matched or exceeded same-day forecasts from the comparison system for extreme riverine events."},{"label":"Important limitation","value":"Forecast skill varies by basin. Warnings still require local delivery, trust, and capacity to act."}],"limitations":["Forecast skill varies by basin. Warnings still require local delivery, trust, and capacity to act."],"evidenceLinks":[{"title":"Global prediction of extreme floods in ungauged watersheds · Nature","url":"https://www.nature.com/articles/s41586-024-07145-1","type":"paper"}],"evidencePackUrl":"https://brightaifuture.com/evidence-pack/floods","embedUrl":"https://brightaifuture.com/embed/story/floods","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":"Many communities lack the observations needed for reliable flood forecasts.","priorConstraint":"Sparse measurements limited forecasting in ungauged watersheds.","aiRole":"A model learned from hydrological data across watersheds.","documentedResult":"At up to five days ahead, reliability matched or exceeded same-day forecasts from the comparison system for extreme riverine events.","whyItMayMatter":"Earlier information could help communities prepare; the study did not measure lives saved.","unresolvedQuestions":["Evaluate forecast performance and warning access in more communities."]},"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:floods","title":"Global prediction of extreme floods in ungauged watersheds · Nature","url":"https://www.nature.com/articles/s41586-024-07145-1","type":"paper"}],"revisions":[],"corrections":[]}