AI & Environment Resource HubWeather prediction, extreme events, hazards, resilience, and adaptation.
Browse all 330 resources →Counts reflect provisional metadata classification, not measured environmental impact. A record may belong to multiple topics.
Share of the 330 records in this view. Pathways can overlap; bars do not add to 100%.
Research papers and scholarly literature on impacts, applications, and methods.
Machine learning enhances real-time and future climate monitoring in historic buildings, aiding preservation efforts amid climate change.
GenCast, an ML-based weather model, outperforms traditional forecasts in accuracy and speed, enhancing weather prediction and risk assessment.
Machine learning can help combat climate change by reducing emissions and aiding adaptation through applications like smart grids and disaster management.
New projections suggest the Arctic's first ice-free day could occur before 2030, driven by rapid ice loss and strong seasonal warming.
Missing metadata is a curation task, not evidence of absent research or activity. The Resource Hub does not currently contain a validated incident dataset, expert survey, or measurements of net environmental benefit.