Policy Document · 2025-05-01
20,000 Kilometers of Code: AI's Secret Voyage Across The Ocean
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Tool
Coastal Risk Finder
Climate Central · Publication date unknown
What it covers
An interactive map showing areas threatened by sea level rise and coastal flooding. Combining the most advanced global model of coastal elevations with the latest projections for future flood levels.
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
Climate Central. Date unknown. Coastal Risk Finder. https://app.climatecentral.org/coastal-risk-finder (AI & Environment Resource Hub; record atlas-79753b5cf3ae; 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
Unclassified
orientation
Available source metadata
- Author or creator
- Unknown or not supplied
- Publisher
- Climate Central
- 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
- 2026-09-28T20:13:10.830Z
- Snapshot import
- 2026-09-06
- Legacy domain
- Water & Oceans
- 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: title, canonical_url · 2026-09-06. Climate Central’s current user guide and application identify the renamed Coastal Risk Finder. Verification source ↗
Alternate source links
Source sheet: Tool · Row 9 · 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
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: Water; Oceans and coasts
Shared topics: Water; Oceans and coasts
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.
Shared topics: Water; Oceans and coasts
Scientific Paper · 2025-04-23
A Deep-Learning Based Parameter Inversion Framework for Large-Scale Groundwater Models
A machine learning framework was developed to efficiently parametrize large-scale hydrogeologic models by learning the relationship between water table depth and hydraulic conductivity from a small number of simulations, enabling realistic predictions with significantly reduced computational cost.
Shared topics: Water; Oceans and coasts
Scientific Paper · 2025-09-25
A Sentinel-3 Foundation Model for Ocean Colour
This study introduces a new foundation model based on the Prithvi-EO Vision Transformer, pre-trained on Sentinel-3 ocean color data, to enhance marine Earth observation. By fine-tuning on chlorophyll and primary production tasks, the model outperforms traditional baselines, showing that self-trained AI can extract detailed spatial patterns from limited labeled data and improve monitoring of ocean ecosystems and climate processes.