Sanghee Lee
Papers
1
Total Citations
5
H-Index
1
About
Sanghee Lee is a leading figure in satellite-based atmospheric remote sensing, with a primary focus on aerosol property retrieval and its critical role in improving greenhouse gas measurements. Her most-cited work, "Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT" (2017), directly tackles a major challenge in carbon dioxide monitoring: the interference of aerosols that degrade data coverage and introduce significant uncertainties. By developing a specialized algorithm for the GOSAT satellite’s TANSO-CAI sensor, Lee provided a method to more accurately characterize aerosols over the complex, pollution-prone skies of Northeast Asia. This contribution is foundational for enhancing the precision of CO₂ retrievals, a vital step for climate science. With her work accumulating over 5 citations, Lee’s research bridges the gap between aerosol science and carbon cycle studies, demonstrating how correcting for atmospheric particles is essential for reliable satellite observations. Her efforts are particularly impactful for regional air quality and global climate modeling, marking her as a key innovator in the intersection of remote sensing and atmospheric chemistry.
Research Focus
Key Achievements
Top Papers
- 1