{"id":103943,"date":"2024-12-14T11:39:04","date_gmt":"2024-12-14T10:39:04","guid":{"rendered":"https:\/\/www.sonnenseite.com\/?p=103943"},"modified":"2024-12-14T11:39:05","modified_gmt":"2024-12-14T10:39:05","slug":"ai-predicts-that-most-of-the-world-will-see-temperatures-rise-to-3c-much-faster-than-previously-expected","status":"publish","type":"post","link":"https:\/\/www.sonnenseite.com\/en\/science\/ai-predicts-that-most-of-the-world-will-see-temperatures-rise-to-3c-much-faster-than-previously-expected\/","title":{"rendered":"AI predicts that most of the world will see temperatures rise to 3C much faster than previously expected"},"content":{"rendered":"\n

Three leading climate scientists have combined insights from 10 global climate models and, with the help of artificial intelligence (AI), conclude that regional warming thresholds are likely to be reached faster than previously estimated.<\/p>\n\n\n\n

The study<\/a>, published in Environmental Research Letters<\/a><\/em> by IOP Publishing, projects that most land regions as defined by the Intergovernmental Panel on Climate Change (IPCC) will likely surpass the critical 1.5\u00b0C threshold by 2040 or earlier. Similarly, several regions are on track to exceed the 3.0\u00b0C threshold by 2060\u2014sooner than anticipated in earlier studies.<\/p>\n\n\n\n

Regions including South Asia, the Mediterranean, Central Europe and parts of sub-Saharan Africa are expected to reach these thresholds faster, compounding risks for vulnerable ecosystems and communities.<\/p>\n\n\n\n

The research, conducted by Elizabeth Barnes, professor at Colorado State University, Noah Diffenbaugh, professor at Stanford University, and Sonia Seneviratne, professor at the ETH-Zurich, used a cutting-edge AI transfer-learning approach, which integrates knowledge from multiple climate models and observations to refine previous estimates and deliver more accurate regional predictions.<\/p>\n\n\n\n

Key Findings<\/h4>\n\n\n\n

Using AI-based transfer learning, the researchers analysed data from 10 different climate models to predict temperature increases and found:<\/strong><\/p>\n\n\n\n