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Lee, Myong-In (이명인)

Department
Department of Urban and Environmental Engineering(도시환경공학과)
Website
http://climate.unist.ac.kr/
Lab
UNIST Climate Environment Modeling Lab. (기후환경모델링 연구실 )
Research Keywords
전지구 기후예측모델, 계절 예측, 폭염 메커니즘 분석 및 예측기술 개발, 대기질 모델링, 미세먼지 자료동화, Climate Change, Seasonal Prediction, Heatwave Mechanisms and Prediction, Air Quality Modeling, Data Assimilation
Research Interests
We are the UNIST Climate Environment Modeling Laboratory (UCEM), one of dedicated labs at UNIST for climate and environmental studies since 2010. Our research area covers widely classical and recent topics in weather and climate, with a primary emphasis on climate sciences and modeling. We have been developing earth system models with a fully-interactive global carbon cycle, which is being prepared for a national use in responding to the next IPCC climate change scenario projections. We're also developing high-resolution global climate prediction models with improved water cycle, which are known to be better for simulating high-impact weather and climate anomalies. Our lab is also dedicated to understanding and improving the simulations of pronounced weather and climate variability and their changes. These include the various phenomena from the time scale of the daily cycle of warm-season precipitation, to the time scale of tropical waves and cyclones, the Madden-Julian oscillation, and to the interannual and decadal time scales of the El Nino and Southern Oscillation, and beyond. We have been supported and partnered by major research institutes and foundations, including the Korean Meteorological Administration (KMA), National Institute of Meteorological Research (NIMR), APEC Climate Center (APCC), Korea Institute of Atmospheric Prediction Systems (KIAPS), and the National Research Foundation of Korea (NRF). We are also collaborating actively with NASA Goddard Space Flight Center for joint research project and scholar exchanges.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2022-04Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next-day maximum temperature in South KoreaYoon, Donghyuck; Kim, Kyoungmin; Cha, Dong-Hyun, et alARTICLE36 Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next-day maximum temperature in South Korea
2022-04Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based ObservationsLee, Seunghee; Kim, Ganghan; Lee, Myong-In, et alARTICLE30 Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations
2022-01An 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 DataKim, Hyeon-Kook; Lee, Seunghee; Bae, Kang-Ho, et alARTICLE78 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
2022-01Importance of ocean initial conditions of late autumn on winter seasonal prediction skill in atmosphere-land-ocean-sea ice coupled forecast systemLee, Joonlee; Lee, Myong-In; Ahn, Joong-BaeARTICLE45 Importance of ocean initial conditions of late autumn on winter seasonal prediction skill in atmosphere-land-ocean-sea ice coupled forecast system
2022-01Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AODLee, Seunghee; Park, Seohui; Lee, Myong-In, et alARTICLE109 Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD
2021-09Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing periodKim, Ganghan; Lee, Seunghee; Im, Jungho, et alARTICLE113 Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period
2021-08The Origin of Systematic Forecast Errors of Extreme 2020 East Asian Summer Monsoon Rainfall in GloSea5Ham, Yoo-Geun; Kim, Ji-Gwang; Lee, Jeong-Gil, et alARTICLE126 The Origin of Systematic Forecast Errors of Extreme 2020 East Asian Summer Monsoon Rainfall in GloSea5
2021-06Relationship between circum-Arctic atmospheric wave patterns and large-scale wildfires in boreal summerYasunari, Teppei J.; Nakamura, Hisashi; Kim, Kyu-Myong, et alARTICLE167 Relationship between circum-Arctic atmospheric wave patterns and large-scale wildfires in boreal summer
2021-03Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South KoreaYoon, Donghyuck; Cha, Dong-Hyun; Lee, Myong-In, et alARTICLE252 Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South Korea
2021-03Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation CharacteristicsPak, Gyundo; Noh, Yign; Lee, Myong-In, et alARTICLE115 Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics
2021-03Impacts of urbanization on atmospheric circulation and aerosol transport in a coastal environment simulated by the WRF-Chem coupled with urban canopy modelKim, Ganghan; Lee, Joonlee; Lee, Myong-In, et alARTICLE60 Impacts of urbanization on atmospheric circulation and aerosol transport in a coastal environment simulated by the WRF-Chem coupled with urban canopy model
2021-02Representation of Tropical Cyclones by the Modern-Era Retrospective Analysis for Research and Applications Version 2Kim, Hyerim; Lee, Myong-In; Kim, Sungyoon, et alARTICLE414 Representation of Tropical Cyclones by the Modern-Era Retrospective Analysis for Research and Applications Version 2
2021-02Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman FilterSeo, Eunkyo; Lee, Myong-In; Reichle, Rolf H.ARTICLE232 Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter
2020-11Investigation of the 2016 Eurasia heat wave as an event of the recent warmingSeo, Eunkyo; Lee, Myong-In; Schubert, Siegfried D., et alARTICLE251 Investigation of the 2016 Eurasia heat wave as an event of the recent warming
2020-11Population ageing determines changes in heat vulnerability to future warmingPark, Chang-Eui; Jeong, Sujong; Harrington, Luke J., et alARTICLE161 Population ageing determines changes in heat vulnerability to future warming
2020-10Recent changes in heatwave characteristics over KoreaYoon, Donghyuck; Cha, Dong-Hyun; Lee, Myong-In, et alARTICLE319 Recent changes in heatwave characteristics over Korea
2020-06Effects of Surface Vegetation on the Intensity of East Asian Summer Monsoon as Revealed by Observation and Model ExperimentsLee, Seonju; Lee, Myong-InARTICLE310 Effects of Surface Vegetation on the Intensity of East Asian Summer Monsoon as Revealed by Observation and Model Experiments
2020-05Numerical Modeling for the Accidental Dispersion of Hazardous Air Pollutants in the Urban Metropolitan AreaKim, Ganghan; Lee, Myong-In; Lee, Seunghee, et alARTICLE255 Numerical Modeling for the Accidental Dispersion of Hazardous Air Pollutants in the Urban Metropolitan Area
2020-04Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis dataPark, Seonyoung; Kang, Daehyun; Yoo, Cheolhee, et alARTICLE244 Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data
2020-02Decadal Changes in the Interannual Variability of Heatwaves in East Asia Caused by Atmospheric Teleconnection ChangesChoi, Nakbin; Lee, Myong-In; Cha, Dong-Hyun, et alARTICLE437 Decadal Changes in the Interannual Variability of Heatwaves in East Asia Caused by Atmospheric Teleconnection Changes

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