aceArtificial intelligence for modeling and understanding extreme weather and climate events
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences, by improving weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. The latter comes with specific challenges, such as developing accurate predictors from noisy, heterogeneous, small sample sizes and data with limited annotations. This paper reviews how AI is being used to analyze extreme climate events (like floods, droughts, wildfires, and heatwaves), hig…
AI models are improving forecasting and analysis of extreme climate events such as floods, droughts, wildfires and heatwaves, helping to enhance disaster response and risk communication.
AI for extreme climate events is limited by noisy, heterogeneous, small sample sizes with limited annotations, challenges integrating real-time information, and lack of understandable models needed for stakeholder trust and regulatory compliance.
Effectiveness is constrained by noisy, heterogeneous, small-sample data with limited annotations and by difficulties integrating real-time information and deploying understandable models needed for trust and regulation.
Evidence
- Peer-reviewedNature Communications2025-02-24
How should this claim be treated?
Truvace Impact Record TRV-2026-0543, v1: “Artificial intelligence for modeling and understanding extreme weather and climate events.” Truvace, 2026-07-24. /record/TRV-2026-0543 (accessed at citation time). sha256 9163033f47e152cd…
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