关注
Seunghee Lee
Seunghee Lee
UNIST Climate Environment Modeling Laboratory / Ulsan National Institute of Science and Technology
在 unist.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Air quality forecasts improved by combining data assimilation and machine learning with satellite AOD
S Lee, S Park, MI Lee, G Kim, J Im, CK Song
Geophysical Research Letters 49 (1), e2021GL096066, 2022
192022
Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period
G Kim, S Lee, J Im, CK Song, J Kim, M Lee
GIScience & Remote Sensing 58 (7), 1175-1194, 2021
122021
Interannual variation of the East Asia Jet Stream and its impact on the horizontal distribution of aerosol in boreal spring
S Lee, MI Lee, CK Song, KM Kim, AM da Silva
Atmospheric Environment 223, 117296, 2020
122020
Numerical modeling for the accidental dispersion of hazardous air pollutants in the urban metropolitan area
G Kim, MI Lee, S Lee, SD Choi, SJ Kim, CK Song
Atmosphere 11 (5), 477, 2020
62020
An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring …
HK Kim, S Lee, KH Bae, K Jeon, MI Lee, CK Song
Remote Sensing 14 (2), 389, 2022
32022
Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations
S Lee, G Kim, MI Lee, Y Choi, CK Song, HK Kim
Remote Sensing 14 (9), 2123, 2022
22022
系统目前无法执行此操作,请稍后再试。
文章 1–6