YL
Member Since 2020
Yoonjin Lee
Research Scientist, Seoul National University
Member, Bowie Medal Committee; Member, Hydrology Precipitation Technical Committee
Professional Experience
Seoul National University
Research Scientist
2024 - Present
Cooperative Institute for Research in the Atmosphere
Research Scientist I
2023 - 2024
Cooperative Institute for Research in the Atmosphere
Post-doc
2021 - 2023
Colorado State University Fort Collins
Graduate student
2014 - 2021
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Education
Colorado State University Fort Collins
Doctorate
2020
Masters
2017
Publications
Characteristics of Convectively Induced Turbulence in East Asia Using Geostationary Korea Multi‐Purp...
Deep convection and its vicinity are important areas of turbulence encountered in cruising aircraft, called convectively induced turbulence (CIT). ...
December 12, 2024
Impacts of Assimilating Vertical Velocity, Latent Heating, or Hydrometeor Water Contents Retrieved F...
Assimilation of observation data in cloudy regions has been challenging due to the unknown properties of clouds such as cloud depth or cloud drop s...
February 03, 2018
AGU Abstracts
Machine learning-based convectively-induced turbulence intensity estimation using geostationary satellite data for aviation safety
ADVANCED AI/ML FOR HIGH-IMPACT WEATHER PREDICTION AND OBSERVATION II ORAL
atmospheric sciences | 11 december 2024
Yoonjin Lee, Soo-Hyun Kim, Jung-Hoon Kim, YOO-JEON...
Atmospheric turbulence presents significant hazards to aviation safety when encountered unexpectedly. With climate change, the frequency and intensity...
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Testing INCUS Methods Experiment - Suborbital preLaunch Investigation of Convective Evolution (TIME SLICE)
NEW SUBORBITAL APPROACHES FOR OBSERVING DEEP CONVECTION POSTER
atmospheric sciences | 11 december 2024
Brenda Dolan, Kristen L. Rasmussen, Pavlos Kollias...
The upcoming NASA INvestigation of Convective UpdraftS (INCUS) mission will employ a reflectivity time-differencing technique to estimate tropical con...
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Retrieval of boundary layer precipitable water from GOES ABI using machine learning techniques
WEATHER, WATER, AND CLIMATE APPLICATIONS FROM GEOSTATIONARY SATELLITES OF THE PRESENT AND FUTURE II ORAL
atmospheric sciences | 12 december 2023
Yoonjin Lee, Kyle Hilburn
Boundary layer precipitable water is an important quantity for accurate prediction of convective initiation. Observing low-level moisture is especiall...
View Abstract
Volunteer Experience
2024 - 2026
Member
Hydrology Precipitation Technical Committee
2024 - 2025
Member
Bowie Medal Committee
2021 - 2022
Member
Hydrology Precipitation Technical Committee
Check out all of Yoonjin Lee’s AGU Research!
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