Jeong-Hyun Woo
Seoul National University · 地球惑星科学
研究室紹介
Professor Jeong-Hyun Woo's research lab specializes in atmospheric science and air quality modeling, focusing on improving the accuracy of air pollution predictions in East Asia. The lab develops advanced modeling frameworks that integrate artificial intelligence with numerical weather and air quality models to correct meteorological biases—particularly in wind speed—and enhance PM2.5 forecasting. It also leads the creation of high-resolution, multi-country emission inventories to better understand transboundary air pollution and regional emission sources. The lab leverages coordinated observations from ground, airborne, and satellite platforms to characterize seasonal and spatial patterns of air pollutants.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
3Wind speed is a critical factor influencing the transport and dispersion of atmospheric pollutants in air quality models. However, numerical weather prediction (NWP) models, such as the weather research and forecasting (WRF) model, typically overestimate surface wind speeds, leading to inaccuracies in air quality predictions. To address this limitation, we developed an Artificial Intelligence (AI)-based Wind Field Correction (WFC) model aimed at improving PM2.5 forecasts over East Asia. The WFC
High Resolution Image Download MS PowerPoint Slide Fine particulate matter (PM 2.5 ) remains a major challenge for air quality management in South Korea, driven by transboundary transport and domestic emissions. While the Korea–United States Air Quality (KORUS-AQ) campaign offered valuable insights into springtime sources, wintertime pollution has yet to be well characterized. The Airborne and Satellite Investigation of Asian Air Quality (ASIA-AQ) and Satellite Integrated Joint Monitoring of Air
Abstract Air pollutant emissions in Northeast Asia play a critical role in regional air quality and transboundary pollution. This study presents the development of the MOSAIC-AQNEA emission inventory framework, integrating country-specific emission inventories for six countries: China, South Korea, Japan, North Korea, Mongolia, and the Asian part of Russia. A mosaic approach was applied to combine nationally developed inventories under a unified sectoral classification scheme. The inventory incl