Alexandra Tsekeri
Papers
11
Total Citations
605
H-Index
7
About
Alexandra Tsekeri is a leading atmospheric scientist whose research focuses on the remote sensing of aerosols, particularly mineral dust and smoke, using an innovative combination of satellite, lidar, and radiometric techniques. Her most impactful work includes the development of the ModIs Dust AeroSol (MIDAS) dataset (145 citations), a global fine-resolution dust optical depth product that has become a critical resource for studying dust transport and its climate effects. She also made foundational contributions to the Lidar-Radiometer Inversion Code (LIRIC, 139 citations), which retrieves vertical aerosol profiles by synergizing lidar and sun-photometer data—a tool now widely used within the EARLINET network. Her early work optimizing CALIPSO retrievals for Saharan dust (180 citations) improved the accuracy of space-based dust observations over North Africa and Europe. Tsekeri has also explored novel retrieval methodologies, including neural networks for satellite aerosol characterization and the use of near-spherical particle shapes to model wildfire smoke. Her research bridges algorithm development, field campaigns, and operational datasets, with over 600 total citations, making her a key figure in advancing our understanding of aerosol vertical structure and optical properties.
Research Focus
Key Achievements
Top Papers
- 1Optimizing CALIPSO Saharan dust retrievals180 citations · 2013
- 2ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set145 citations · 2021
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- 4Is the near-spherical shape the “new black” for smoke?48 citations · 2020
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