Tool

CoastalDEM

Author or publisher unknown · Publication date unknown

What it covers

CoastalDEM® v3.0 is Climate Central’s newest, most precise, and best-trained digital elevation model ever.

Who it helps

Intended audience has not been documented.

Limitations

Source-specific limitations have not been reviewed. Inclusion and topic labels do not establish effectiveness or reliability.

Show citation

Author unknown. Date unknown. CoastalDEM. https://go.climatecentral.org/coastaldem (AI & Environment Resource Hub; record atlas-c5c5e51a5c49; 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.

pathway

topic

lifecycle

orientation

Definitions, inclusion guidance, and examples →

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
paid
Language
unknown
Peer review
unknown
Source access
Reachable at last check
Metadata confidence
Required metadata corroborated
Last verified
2026-09-28T20:13:11.233Z
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.

Source sheet: Tool · Row 10 · 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 2026-09-28. Source identity and required metadata verified. The import date is not the original date added.

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Newsletter appearances

Publication, placement, and evidence are tracked separately. A legacy coverage flag alone does not prove an appearance.

No issue-specific evidence recorded.

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

Policy Document · 2024-12-01

2024 Climate Risk Landscape Report

Open the record to view the available source metadata.

Source: UNEPReachable at last check · Required metadata corroborated

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

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

Scientific Paper · 2025-05-21

A Foundation Model for the Earth System

Aurora is a large-scale AI foundation model that significantly outperforms traditional forecasting systems across multiple Earth system domains, like air quality and cyclone tracking, while using far less computational power, marking a major advancement in accessible, efficient environmental prediction.

Source: NatureReachable at last check · Metadata unconfirmed

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