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Estimating Ground-Level Particulate Matter (PM) Concentration using Satellite-derived Aerosol Optical Depth(AOD)

Park, Seohui , Im, Jungho

Conference Paper Issue Date2017-04-25 View5

Estimating Ground-level Particulate Matter Concentrations Using Satellite Observations and Numerical Model Output

Park, Seohui , Shin, Minso , Im, Jungho

Conference Paper Issue Date2018-07-02 View12

Estimating ground-level particulate matter concentrations using satellite-based data: a review File

Shin, Minso , Kang, Yoojin , Park, Seohui , Im, Jungho , Yoo, Cheolhee , Quackenbush, Lindi J.

Article Issue Date2020-02 View4

Estimating Ground-level Particulate Matter Concentrations Using Satellite-Derived Aerosol Oprical Depth

Park, Seohui , Shin, Minso , Im, Jungho , Kim, Youngjoon , Jang, Eunna , Han, Daehyun

Conference Paper Issue Date2018-05-10 View9

Estimation of Ground-level Nitrogen Dioxide and Ozone Concentrations Using Satellite Data and Numerical Model Output

Shin, Minso , Im, Jungho , Yoo, Cheolhee , Cho, Dongjin , Park, Seohui

Conference Paper Issue Date2018-12-11 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 View4

Estimation of ground-level PM10 and PM2.5 concentrations using boosting-based machine learning from satellite and numerical weather prediction data File File

Park, Seohui , Kim, Miae , Im, Jungho

Article Issue Date2021-04 View16

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models File

Park, Seohui , Lee, Junghee , Im, Jungho , Song, Chang-Keun , Choi, Myungje , Kim, Jhoon , Lee, Seungun , Park, Rokjin , Kim, Sang-Min , Yoon, Jongmin , et al

Article Issue Date2020-04 View6

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 View8

Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia File

Park, Seohui , Im, Jungho , Kim, Jhoon , Kim, Sang-Min

Article Issue Date2022-08 View4

Improved Monitoring and Nowcasting of Particulate Matter based on Machine Learning through the Synergistic Use of Satellite and Model Products over East Asia File

Park, Seohui

Thesis Issue Date2022-08 View4

Monitoring and short-term forecasting for Ground-level Particulate Matter Using Satellite Observations and Numerical Model Output

Park, Seohui , Im, Jungho

Conference Paper Issue Date2018-12-14 View10

Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models File File

Choi, Hyunyoung , Kang, Yoojin , Im, Jungho , Park, Seohui , Shin, Minso , Kim, Sang-Min

Article Issue Date2020-10 View5

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 View5

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