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GenCast

Author or publisher unknown · Publication date unknown

New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead

Source identity and required public metadata were editorially reviewed on 2026-09-15.

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Author unknown. Date unknown. GenCast. https://github.com/google-deepmind/graphcast (AI & Environment Resource Hub; record atlas-34c96eb1bdf6; collection snapshot 2026-09-15).

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.

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topic

lifecycle

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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 status
verified
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

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.

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Inclusion does not establish effectiveness, maintenance, or endorsement. Check access and current documentation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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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

Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation

Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation

Scientific Paper · 2023-12-01

A Case Study Of An Extreme Flooding Episode In Charikar, Eastern Afghanistan

Severe flash floods in Charikar, Afghanistan, on August 26, 2020, were driven by extreme atmospheric instability, deep low-level convergence, and local topography, with climate change intensifying frontal activity and baroclinicity in the region.

Journal of Water and Climate Change