A novel data fusion approach to combine the global observations from the Tropospheric Ozone Assessment Report database hosted by JSC with output from several numerical chemistry-transport models has been developed under the lead of the university of North Carolina, USA. The research has been published online March 8 by the journal Environmental Science & Technology (https://pubs.acs.org/doi/10.1021/acs.est.0c07742). The new method allows for the production of annual high-resolution maps of ground-level ozone burden, which can be combined with population density to assess the health risk from ozone air pollution. The findings from this study were used by the Global Burden of Disease 2019 (GBD2019) study, which estimated that about 365,000 people around the world died in 2019 from exposure to ozone pollution. The research used the largest compilation of ozone observations ever produced as well as estimates from nine global atmospheric models. By doing a data fusion, the research team was able to combine these different sources of information, making use of the advantages of each.