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Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period File

Kim, Ganghan , Lee, Seunghee , Im, Jungho , Song, Chang-Keun , Kim, Jhoon , Lee, Myong-in

Article Issue Date2021-09 View24
Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD File

Lee, Seunghee , Park, Seohui , Lee, Myong-In , Kim, Ganghan , Im, Jungho , Song, Chang-Keun

Article Issue Date2022-01 View13
Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia File

Kang, Eunjin , Park, Seonyoung , Kim, Miae , Yoo, Cheolhee , Im, Jungho , Song, Chang-Keun

Article Issue Date2023-09 View11
Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea File File

Park, Seohui , Shin, Minso , Im, Jungho , Song, Chang-Keun , Choi, Myungje , Kim, Jhoon , Lee, Seungun , Park, Rokjin , Kim, Jiyoung , Lee, Dong-Won , et al

Article Issue Date2019-01 View13
Estimation of surface-level NO2 and O-3 concentrations using TROPOMI data and machine learning over East Asia File

Kang, Yoojin , Choi, Hyunyoung , Im, Jungho , Park, Seohui , Shin, Minso , Song, Chang-Keun , Kim, Sangmin

Article Issue Date2021-11 View11
Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability File File

Yu, Jinhyeok , Song, Chul H. , Lee, Dogyeong , Lee, Sojin , Kim, Hyun S. , Han, Kyung M. , Park, Seohui , Im, Jungho , Park, Soon-Young , Jeon, Moongu , et al

Article Issue Date2023-05 View15
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