Seungwon Baek is a PhD student at Kyungpook National University (KNU) in South Korea. Under the guidance of Prof. GyuWon Lee at the Center for Atmospheric Remote Sensing (CARE) at KNU, his research focuses on improving the monitoring and detection of hazardous aviation weather — such as turbulence, wind shear, and low visibility — using remote sensing instruments such as Doppler lidar and radar. In his previous work, Seungwon evaluated various Doppler lidar-based turbulence detection techniques by comparing them with measurements from sonic anemometers installed on a meteorological tower, to assess their accuracy.

As part of his research under the Halaby Fellowship, Seungwon aims to improve turbulence detection using S-band weather radar. His work focuses on analyzing the impact of horizontal wind shear on turbulence estimation and developing methodologies to account for these effects. This involves comparative assessments of existing turbulence estimation methods and investigations into the characteristics of convectively induced turbulence (CIT) in complex terrain environments.

Halaby Fellowship: A tribute to Najeeb Halaby’s legacy that builds on his contributions to aviation meteorology.