Francesca Macchia
Papers
2
Total Citations
38
H-Index
2
About
Francesca Macchia is a leading researcher in atmospheric aerosol science, with a primary focus on the dynamics and forecasting of desert dust. Her work centers on developing and applying high-resolution reanalysis models to better understand the transport and lifecycle of mineral dust across Northern Africa, the Middle East, and Europe. Macchia’s major contributions include pioneering the use of spaceborne lidar data—specifically dust extinction profiles—to improve the vertical representation of dust plumes in numerical models. Her 2022 study on the MONARCH high-resolution reanalysis (cited 22 times) provides a critical, long-term dataset for regions with sparse in situ measurements, while her subsequent work (16 citations) demonstrates that assimilating lidar observations significantly enhances dust forecast accuracy compared to relying solely on column-integrated aerosol optical depth. By addressing the critical gap in vertical dust structure, Macchia’s research directly supports improved air quality predictions, climate modeling, and public health warnings in dust-prone regions. Her innovative integration of satellite lidar data into operational frameworks marks a notable achievement, advancing the frontier of aerosol data assimilation and solidifying her reputation as a key contributor to atmospheric composition modeling.
Research Focus
Key Achievements
Top Papers
- 1
- 2Assimilating spaceborne lidar dust extinction can improve dust forecasts16 citations · 2022