Substantially underestimated global health risks of current ozone pollution

Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause…

• NS
  National Science Foundation
• NN
  National Natural Science Foundation of China

  Awards: 42471414, 2042024kf0020, 42230108, 42222503, 2042023kfyq04
• NU
  Nanjing University of Information Science and Technology
• FR
  Fundamental Research Funds for the Central Universities

  Awards: 2042023kfyq04, 2042024kf0020, 2042022dx0002
• SF
  Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology