Regions across the globe are experiencing extreme heatwaves that outpace predictions made by current climate models.
These unprecedented heat events, observed on every continent except Antarctica, are causing significant human and ecological harm, including thousands of deaths, crop failures, and widespread wildfires.
The findings of a groundbreaking study published in the Proceedings of the National Academy of Sciences highlight critical gaps in understanding the mechanisms driving these extremes and raise concerns about the effectiveness of existing models in assessing regional climate risks.
Led by Dr. Kai Kornhuber, a senior research scholar at the International Institute for Applied Systems Analysis, the study analysed 65 years of data to identify global hotspots where extreme heat is intensifying faster than moderate temperatures. This trend has resulted in record-breaking maximum temperatures, including the devastating June 2021 Pacific Northwest heatwave, where Lytton, British Columbia, reached an all-time high of 121.3°F before a wildfire destroyed the town.
Regions facing the greatest heatwave intensification include northwestern Europe, central China, parts of Australia, Africa, and South America. Northwestern Europe, in particular, has shown the most consistent signals of extreme heat, contributing to the deaths of 60,000 people in 2022 and another 47,000 in 2023. Summer peak temperatures in this region are rising twice as fast as average seasonal temperatures, a situation exacerbated by limited access to air conditioning.
Researchers attribute some of these heatwaves to destabilizing the northern hemisphere’s jet stream, influenced by accelerated Arctic warming. This disruption leads to the formation of Rossby waves, which trap hot air over specific regions for extended periods.
The study also delves into the Pacific Northwest heatwave, where factors such as dried vegetation and heat transport in the atmosphere compounded the extreme temperatures. Co-author Dr. Samuel Bartusek referred to some of these events as "grey swans," lying in a grey area between predictability and random occurrence.
These findings raise critical questions about the reliability of current climate models in predicting extreme regional heat events. The inability to anticipate such anomalies highlights the urgent need for improved climate simulations and adaptation strategies to mitigate the mounting threats posed by extreme heat.