Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies

This database illustrates the potential current impact of anthropogenic climate change across the globe and reveals a substantial ‘attribution gap’ as robust levels of evidence for potentially attributable impacts are twice as prevalent in high-income than in low-income countries.