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Yoonjin Lee

Research Scientist I

  • Office Location:
    CIRA 39
About Me:

Yoonjin received B.S. in environmental science & engineering from Ewha Womans University in Korea, and meanwhile she also studied biology at University of Cergy-Pontoise and Pierre-and-Marie-Curie University in France. After studying future change of wildfire danger variability as an undergraduate intern, she decided to study satellite meteorology and data assimilation at Colorado State University (CSU). Her master’s thesis was about analyzing impacts of assimilating vertical velocity, latent heating, or hydrometeor water contents retrieved from GPM satellite, and her dissertation was about using GOES-16 ABI data to detect convection, estimate latent heating, and initiate convection in a high resolution model. She joined CIRA as a postdoc in 2021, and now she’s a research scientist in METSAT and Machine learning team. Her research focuses on applying machine learning techniques to GOES-16 ABI data for various applications such as convective initialization, retrieving boundary-layer precipitable water, and detecting turbulence.