Yun Gon Lee
Papers
5
Total Citations
58
H-Index
4
About
Dr. Yun Gon Lee is a leading atmospheric scientist whose research focuses on aerosol optical depth (AOD) retrieval, data fusion, and its applications for air quality monitoring. Her major contributions lie in developing innovative methods to integrate AOD datasets from geostationary satellite instruments, including GEMS, AMI, and GOCI-II aboard the GEO-KOMPSAT-2 series. Notably, she pioneered the use of both statistical and deep neural network (DNN) approaches for AOD data fusion, significantly improving the accuracy and spatiotemporal coverage of aerosol observations. Her work has been widely cited, with her 2020 study on assessing AOD under background and polluted conditions using AERONET and VIIRS datasets accumulating over 30 citations. Dr. Lee has also explored novel applications, such as using lunar AOD from AERONET for nighttime particulate matter estimation, addressing a critical gap in air quality research. Her trend analysis of AERONET-observed and model-simulated AOTs between 1993 and 2013 has provided valuable insights into long-term aerosol changes. Through her pioneering fusion techniques and innovative use of satellite data, Dr. Lee has advanced our ability to monitor and understand aerosol dynamics, with direct implications for public health and climate science.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5