Papers
4
Total Citations
80
H-Index
3
About
Andrea Piacentini is a researcher specializing in atmospheric science, with a particular focus on aerosol data assimilation and chemical transport modeling. Their work centers on integrating observational data from satellite and ground-based instruments into numerical models to improve our understanding of atmospheric aerosol distributions and their behavior. Piacentini's most significant contributions involve the development and application of data assimilation techniques within MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle), a chemistry transport model used for atmospheric research. A cornerstone of this work is the assimilation of Aerosol Optical Depth (AOD) data from NASA's MODIS instrument, as well as lidar extinction coefficient measurements from the CALIOP sensor aboard the CALIPSO satellite — representing a pioneering effort in three-dimensional aerosol constraint within such models. Much of this research was conducted in the context of the TRAQA/ChArMEx campaign, a major Mediterranean atmospheric field study. With their most cited paper accumulating 46 citations and subsequent lidar-focused work reaching 24 citations, Piacentini's research has meaningfully advanced the field of atmospheric data assimilation. Their contributions are particularly valuable for researchers working on air quality forecasting, climate modeling, and the remote sensing of aerosols across regional and global scales.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4