Martina Klose
Papers
2
Total Citations
38
H-Index
2
About
Martina Klose is a leading researcher in atmospheric science, specializing in the dynamics and forecasting of mineral dust aerosols. Her work sits at the critical intersection of aerosol modeling, data assimilation, and climate interactions, with a particular focus on desert dust transport over North Africa, the Middle East, and Europe. Klose’s major contributions include the development of the MONARCH high-resolution reanalysis, a landmark dataset that provides a detailed, multi-year reconstruction of dust aerosol distribution from 2007 to 2016. This resource, cited 22 times, addresses the chronic scarcity of in situ dust measurements by offering a robust, observation-constrained view of dust’s three-dimensional structure. Further advancing the field, her research on assimilating spaceborne lidar dust extinction data (16 citations) has demonstrated that incorporating vertical profile information significantly improves dust forecast accuracy—a breakthrough over traditional column-integrated methods. By showing that lidar assimilation can better capture the rich spatial and temporal variability of dust plumes, Klose’s work directly enhances predictive models used for air quality, health, and climate studies. Her achievements are pivotal for operational forecasting and for understanding dust’s role in the Earth system.
Research Focus
Key Achievements
Top Papers
- 1
- 2Assimilating spaceborne lidar dust extinction can improve dust forecasts16 citations · 2022