2024 Climate Risk Landscape Report
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AI & Environment Resource HubPrice, Ilan; Sanchez-Gonzalez, Alvaro; Alet, Ferran; Andersson, Tom R.; El-Kadi, Andrew; Masters, Dominic; Ewalds, Timo; Stott, Jacklynn; Mohamed, Shakir; Battaglia, Peter; Lam, Remi; Willson, Matthew · 2024-12-04
GenCast, an ML-based weather model, outperforms traditional forecasts in accuracy and speed, enhancing weather prediction and risk assessment.
Price, Ilan; Sanchez-Gonzalez, Alvaro; Alet, Ferran; Andersson, Tom R.; El-Kadi, Andrew; Masters, Dominic; Ewalds, Timo; Stott, Jacklynn; Mohamed, Shakir; Battaglia, Peter; Lam, Remi; Willson, Matthew. 2024-12-04. Probabilistic Weather Forecasting with Machine Learning. https://www.nature.com/articles/s41586-024-08252-9 (AI & Environment Resource Hub; record paper-011; collection snapshot 2026-09-15).
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Source sheet: Scientific Paper · Row 15 · Original ID: paper-011.
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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
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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
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.