Mijin Kim
Papers
15
Total Citations
819
H-Index
12
About
Mijin Kim is a prominent atmospheric scientist whose research centers on aerosol remote sensing, satellite-based retrieval algorithms, and air quality monitoring across East Asia. She is best known for her foundational contributions to the GOCI Yonsei Aerosol Retrieval (YAER) algorithm, which enabled hourly aerosol optical depth measurements from geostationary orbit — a significant methodological advance over traditional polar-orbiting satellites. Her iterative refinement of this algorithm, culminating in the widely adopted version 2 product with improved error analysis and uncertainty estimation, has become a benchmark in the field, earning over 270 citations across two landmark papers. Kim has also contributed to the global Dark Target aerosol algorithm applied to MODIS observations, participated in major international field campaigns including DRAGON-NE Asia 2012, and helped develop optimal estimation frameworks for the Geostationary Environment Monitoring Spectrometer (GEMS), advancing real-time air quality surveillance over Asia. Her synergistic work merging hyperspectral UV-visible and broadband satellite data further demonstrates her versatility in multi-sensor integration. With over 660 total citations across her published work, Kim's research has meaningfully shaped how scientists observe, retrieve, and validate aerosol properties from space, with direct implications for public health and climate science.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10