Earth Sciences Division

Seung Hee Lee

(Postdoctoral Research Scientist)

Seung Hee Lee's Contact Card & Information.
Email: seung.h.lee@nasa.gov
Phone: 301.614.6223
Org Code: 610.1
Address:
NASA/GSFC
Mail Code 610.1
Greenbelt, MD 20771
Employer: MORGAN STATE UNIV.

Research Interests


1. Improve the forecast skill of air quality model using data assimilation

Earth Science: Aerosols


2. Application of artificial intelligence to aerosol data assimilation

Earth Science: Aerosols


3. Climate impact on the emission and transport of aerosol

Earth Science: Climate

Positions/Employment


Postdoctoral Research Fellow

Ulsan National Institute of Science and Technology - South Korea

March 2023 - June 2023


Postdoctoral Research Scientist

MSU/GESTAR II/GSFC - NASA Goddard Space Flight Center - Greenbelt, MD

July 2023 - Present

Education


B.S. (2016) in Ulsan National Institute of Science and Technology (UNIST)

• Major in ‘Climate Change and Earth Environmental System Engineering’ 

• Minor in ‘Disaster & Risk Management Engineering’


Ph.D (2023) in Ulsan National Institute of Science and Technology (UNIST)

• Major in ‘Environmental Science and Engineering’ 

Advisor | Myong-In Lee

Awards


2022.04 Best Paper Award, Korean Meteorological Society

2020.10 Best Paper Award, Korean Meteorological Society


Other Professional Information


Patent: Myong-In Lee, Seunghee Lee (2016). Hybrid Seasonal Forecast System for Typhoon Activity, Application number: 10-1646587

Publications


Refereed

2022. "Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations." Remote Sensing 14 (9): 2123 [10.3390/rs14092123] [Journal Article/Letter]

2022. "An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data." Remote Sensing 14 (2): 389 [10.3390/rs14020389] [Journal Article/Letter]

2021. "Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD." Geophysical Research Letters 49 (1): [10.1029/2021gl096066] [Journal Article/Letter]

2021. "Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period." GIScience & Remote Sensing 58 (7): 1175-1194 [10.1080/15481603.2021.1972714] [Journal Article/Letter]

2020. "Interannual variation of the East Asia Jet Stream and its impact on the horizontal distribution of aerosol in boreal spring." Atmospheric Environment 223 117296 [10.1016/j.atmosenv.2020.117296] [Journal Article/Letter]

2020. "Numerical Modeling for the Accidental Dispersion of Hazardous Air Pollutants in the Urban Metropolitan Area." Atmosphere 11 (5): 477 [10.3390/atmos11050477] [Journal Article/Letter]