Jhoon Kim

Hybrid physics–AI aerosol property retrieval algorithm for AMI/GK-2A with a deep learning radiative transfer emulator

Min-Suek Kim, Jhoon Kim, H. Lim, Seoyoung Lee, Hyejin Cha, Yujing Chai, et al.

Comment on essd-2026-443

Hongrui Gao, Qin He, Kai Qin, Jhoon Kim, Diego Loyola, Pravash Tiwari, et al.

<strong class="journal-contentHeaderColor">Abstract.</strong> High-frequency continuous monitoring of tropospheric nitrogen dioxide (NO₂) is crucial for assessing regional air quality and investigating photochemical dynamic evolution. Although new-generation geostation…Read more

Machine Learning-Based Estimation of Surface NO2 Concentrations over China: A Comparative Analysis of Geostationary (GEMS) and Polar-Orbiting (TROPOMI) Satellite Data

Yijin Ma, Yi Wang, Jun Wang, Minghui Tao, Jhoon Kim, Chenyang Wu, et al.

High-accuracy spatiotemporal monitoring of surface nitrogen dioxide (NO2) concentrations is essential for air quality management. This study evaluates machine learning-based estimates of near-surface NO2 concentrations using data from the geostationary GEMS instrument and the pol…Read more