Clemson statistician helps map regional shifts in global warming
Climate scientists have long understood that global warming isn't uniform. Some regions warm faster than others, and that unevenness matters enormously for predicting local impacts—from sea-level rise to agricultural stress. But mapping exactly where and how quickly those shifts occur has been technically difficult. This week, a team at Clemson University published a new statistical method to do it. Robert Lund, a statistician there, developed an approach that detects regional warming trends with far greater precision than earlier models. The work focuses on temperature records across the globe, identifying where rates of change accelerate or slow. What makes this useful isn't just the method itself—it's that it can be applied to existing data without waiting for new measurements. That means climate planners can now model regional impacts with better accuracy, which changes how cities and governments prepare for what's coming.