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Enza Di Tomaso is a leading figure in atmospheric science, specializing in the remote sensing and modeling of desert dust aerosols. Her research focuses on improving our understanding of dust’s spatiotemporal variability and its profound impacts on climate, weather, and human health. Di Tomaso’s major contributions include the development of the ModIs Dust AeroSol (MIDAS) data set, a global, fine-resolution dust optical depth product that has become a cornerstone for dust research, garnering 145 citations. She also spearheaded the MONARCH high-resolution dust reanalysis over Northern Africa, the Middle East, and Europe, providing a continuous, observationally constrained 3D aerosol field from 2007–2016. Her work on assimilating spaceborne lidar dust extinction into forecasts has demonstrated significant improvements in predicting dust’s vertical structure—a critical advance for operational models. With over 190 citations across her top papers, Di Tomaso’s research bridges satellite observations and numerical modeling, offering essential tools for assessing dust trends, climate effects, and socioeconomic impacts. Her achievements highlight her as a key innovator in aerosol science, advancing both data products and forecasting capabilities.