Jungho Im — Papers on Cortexa

crossrefRemote Sensing2026-07-10

Exploring the Potential of Machine Learning Post-Processing to Generate ERA5-Consistent Atmospheric Profiles from Geostationary Satellite Retrievals

Daehyeon Han, Minki Choo, Sihun Jung, Juhyun Lee, Hyunyoung Choi, Jungho Im

Accurate atmospheric temperature and humidity profiles are fundamental to weather monitoring and prediction. Geostationary imagers such as the Advanced Meteorological Imager (AMI) provide continuous observations and enable profile retrievals through radiative transfer–based algor…

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crossrefRemote Sensing2015-07-17Cited by 53

Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches

Hyangsun Han, Sanggyun Lee, Jungho Im, Miae Kim, Myong-In Lee, Myoung Ahn, et al.

As convective clouds in Northeast Asia are accompanied by various hazards related with heavy rainfall and thunderstorms, it is very important to detect convective initiation (CI) in the region in order to mitigate damage by such hazards. In this study, a novel approach for CI det…

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