Policy Document · 2024-12-01
2024 Climate Risk Landscape Report
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Tool
GenCast
Author or publisher unknown · Publication date unknown
What it covers
New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead
Who it helps
Intended audience has not been documented.
Limitations
Source identity and required public metadata were editorially reviewed on 2026-09-15.
Source identity and required public metadata were editorially reviewed on 2026-09-15.
Show citation
Author unknown. Date unknown. GenCast. https://github.com/google-deepmind/graphcast (AI & Environment Resource Hub; record atlas-34c96eb1bdf6; collection snapshot 2026-10-04).
Classification and context
Included in the original Tool collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
lifecycle
orientation
Available source metadata
- Author or creator
- Unknown or not supplied
- Publisher
- Unknown or not supplied
- Publication date
- Unknown or not supplied
- Date precision
- unknown
- Geographic scope
- Unknown
- Access
- free
- Language
- unknown
- Peer review
- unknown
- Source access
- Reachable at last check
- Metadata confidence
- Required metadata corroborated
- Last verified
- 2026-09-15T00:00:00.000Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Climate & Weather
- Legacy subdomain
- Unknown or not supplied
Provenance and review
- Source access
- Reachable at last check
- Metadata confidence
- Required metadata corroborated
- Editorial relevance
- Relevance has not been separately reviewed.
- Evidence quality
- Evidence quality has not been separately assessed.
Selected fields checked: · 2026-09-06. Editorial review confirmed this record against its current source page/file; limited or generic machine-readable metadata prevented automatic corroboration. Verification source ↗
Source sheet: Tool · Row 6 · Original ID: Not supplied.
Inclusion does not establish effectiveness, maintenance, or endorsement. Check access and current documentation. Source link reachable · checked 2026-09-28. Source identity and required metadata verified. The import date is not the original date added.
Suggest a correction for this record →Newsletter appearances
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Related through shared environmental topics
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
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Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
Scientific Paper · 2025-04-23
A Hackathon for Flood Map Prediction From Geospatial Data With Parsimonious Machine Learning Models
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