2024 Climate Risk Landscape Report
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AI & Environment Resource HubInnovation for Cool Earth Foum (ICEF) · 2024-11-01
ICEF develops roadmaps on how key innovative technologies can contribute to a transition to clean energy. Roadmaps consider industrial, academic and governmental perspectives to identify a realistic, fact-based pathway and meaningfully inform the work of all stakeholders.
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Innovation for Cool Earth Foum (ICEF). 2024-11-01. ICEF Artificial Intelligence for Climate Change Mitigation Roadmap (Second Edition). https://www.icef.go.jp/roadmap/ (AI & Environment Resource Hub; record report-002; collection snapshot 2026-10-04).
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Source sheet: Policy Document · Row 6 · Original ID: report-002.
These are policy resources, not a verified register of enacted laws. Legal status and jurisdiction must be checked at source. 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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Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
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Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
Self-supervised learning enhances 3D cloud reconstruction, improving climate predictions by reducing uncertainties in climate models.
Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
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.
Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation
This study showcases a machine learning hackathon in France where a CNN-based model accurately predicted flood risk evolution using geospatial and climate data, even without streamflow input, emphasizing trustworthy AI in data-scarce regions.