Abstract The source-receptor relationship of atmospheric mercury is a critical environmental concern. However, comprehensive evaluations of mercury pollution based on spatially resolved and time-averaged data have not yet been conducted in... Read More
Abstract Over the last five decades, Arctic sea ice has been shrinking in area and thickness. As a result, increased marine traffic has created a need for improved sea ice forecasting on seasonal to annual time-scales. In this study, we int... Read More
![[Lab News] Professor Jungho Im’s Team Celebrates A Series of Awards for Environmental and AI Research](https://news.unist.ac.kr/wp-content/uploads/2024/12/썸네일-_2024-위성정보활용-경진대회-800x505-216x122.png)
The Intelligent Remote sensing and geospatial Information Science (IRIS) Lab, led by Professor Jungho Im in the Department of Civil, Urban, Earth, and Environmental Engineering at UNIST, is gaining significant attention for its research in... Read More
Over 100 research administrators from UNIST gathered at Lahan Select in Gyeongju for the 2024 UNIST Research Administrator Day, an event aimed at addressing key challenges and enhancing the skills crucial for effective research administrati... Read More
Abstract Wind power, which is the fastest–growing renewable energy source, is directly influenced by weather or climate conditions. This study examined the recent changes and future projections under different carbon emission levels in the... Read More
Abstract Increasing heatwave intensity and mortality demand timely and accurate heatwave prediction. The present study focused on teleconnection, the influence of distant land and ocean variability on local weather events, to drive long-ter... Read More
Ha Jeong Jeon, a graduate student in the Department of Civil Urban Earth and Environmental Engineering at UNIST under the guidance of Professor Sang Seo Park, has been honored with the Best Student Poster Award at the 2024 Asia Oceania Geos... Read More
Abstract 1 Geostationary satellites are valuable tools for monitoring the entire lifetime of tropical cyclones (TCs). Although the most widely used method for TC intensity estimation is manual, several automatic methods, particularly artifi... Read More
Abstract 1 This study suggests a methodology for probabilistic forecasts of the extreme heat events in East Asia based on an operational global ensemble prediction used by the Korea Meteorological Administration (KMA). It focuses on the med... Read More
The event provided a valuable opportunity for us to expand our knowledge and expertise. We look forward to continuing our efforts to foster a collaborative environment for knowledge sharing and skill development among research administrator... Read More
![[UNIST Webinar] AI enabled Computational Imaging for Biomedical Applications](https://news.unist.ac.kr/wp-content/uploads/2022/10/Session-13.18-296x166.jpg)