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About

Romain Ceolato is a leading researcher in atmospheric optics and aerosol remote sensing, with a focus on characterizing smoke and particulate matter using advanced lidar and ceilometer techniques. His work bridges experimental and theoretical approaches to improve the detection and classification of aerosols in the atmosphere. One of his most influential contributions is the 2020 study "Is the near-spherical shape the 'new black' for smoke?" (48 citations), which challenges conventional assumptions by demonstrating that near-spherical particles can replicate the triple-wavelength particle linear depolarization ratio and lidar ratio values observed in stratospheric smoke from Canadian wildfires. This finding has significant implications for interpreting remote sensing data and understanding smoke transport. Ceolato also developed a novel ceilometer inversion method incorporating water-vapor correction from co-located microwave radiometers (20 citations), enhancing the accuracy of aerosol retrievals in the lower atmosphere. His work is highly cited for its practical impact on air quality monitoring and climate research, offering new tools for distinguishing smoke from other aerosol types. Ceolato’s research continues to shape how scientists use ground-based and spaceborne lidar systems to study atmospheric composition and wildfire effects.