우정헌 교수

Wind 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