Stefano Casadio

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About

Stefano Casadio is a leading figure in atmospheric remote sensing, with a primary focus on the intricate interplay between trace gases and aerosol optical properties. His research is pivotal in refining how we interpret data from ground-based sun–sky radiometers, directly impacting the accuracy of climate and air quality models. Casadio’s most cited work, "Evaluating the effects of columnar NO₂ on the accuracy of aerosol optical properties retrievals" (2023, 4 citations), provides a critical methodological advancement. He systematically quantifies how nitrogen dioxide absorption biases key aerosol parameters—aerosol optical depth (AOD), Ångström exponent (AE), and single scattering albedo (SSA)—and proposes algorithmic corrections to mitigate these errors. This contribution is essential for improving the fidelity of long-term aerosol records, which are vital for understanding radiative forcing and pollution trends. By bridging the gap between gas-phase chemistry and aerosol science, Casadio’s work ensures that satellite and ground-based observations yield more reliable data, supporting both fundamental research and policy-relevant environmental monitoring. His efforts underscore a commitment to precision in Earth observation, making him a key resource for students and researchers tackling the complexities of atmospheric composition.