Publications by authors named "Jungho Im"

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Robust daily satellite sea surface salinity reconstruction using deep learning in low-salinity coastal regions.
Sihun Jung, So-Hyun Kim, Eunna Jang, Jaese Lee, Daehyeon Han, Jungho Im

Mar Pollut Bull· December 2025

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Bridging temporal gaps: AI-based temporal downscaling of biweekly NH to daily scale with spatial transferability.
Saman Malik, Eunjin Kang, Yoojin Kang, Jungho Im

J Hazard Mater· September 2025

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Aerosol optical depth retrieval from Geostationary Environment Monitoring Spectrometer (GEMS): Advancing the first hyperspectral geostationary air quality mission using deep learning.
Hyunyoung Choi, Seohui Park, Jungho Im, Eunjin Kang, Jhoon Kim, Sang-Min Kim

Sci Total Environ· September 2025

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Comprehensive 24-hour ground-level ozone monitoring: Leveraging machine learning for full-coverage estimation in East Asia.
Yejin Kim, Seohui Park, Hyunyoung Choi, Jungho Im

J Hazard Mater· May 2025

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Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data.
Hyerim Park, Wonho Sohn, Eunjin Kang, Jungho Im, Junghye Lee

Sci Total Environ· May 2025

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Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs.
Juhyun Lee, Jungho Im, Yeji Shin

iScience· June 2024

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Diurnal urban heat risk assessment using extreme air temperatures and real-time population data in Seoul.
Cheolhee Yoo, Jungho Im, Qihao Weng, Dongjin Cho, Eunjin Kang

iScience· November 2023

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Retrieval of hourly PM using top-of-atmosphere reflectance from geostationary ocean color imagers I and II.
Hyunyoung Choi, Seonyoung Park, Yoojin Kang, Jungho Im, Sanghyeon Song

Environ Pollut· April 2023

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Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia.
Seohui Park, Jungho Im, Jhoon Kim, Sang-Min Kim

Environ Pollut· August 2022

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Estimation of surface-level NO and O concentrations using TROPOMI data and machine learning over East Asia.
Yoojin Kang, Hyunyoung Choi, Jungho Im, Seohui Park, Minso Shin, Sangmin Kim

Environ Pollut· November 2021

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Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models.
Seohui Park, Junghee Lee, Jungho Im, Chang-Keun Song, Myungje Choi, Jhoon Kim, Sang-Min Kim

Sci Total Environ· April 2020

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Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches.
Sumin Park, Haemi Park, Jungho Im, Cheolhee Yoo, Jinyoung Rhee

PLoS One· March 2020

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Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica.
Hyoung Sul La, Keyhong Park, Anna Wåhlin, Kevin R Arrigo, Dong Seon Kim, Jungho Im, Tae-Wan Kim

Sci Rep· July 2019

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Effects of seasonal variations on sediment-plume streaks from dredging operations.
Nam-Hoon Kim, Van Sy Pham, Jin Hwan Hwang, Nam Il Won, Ho Kyung Ha, Jungho Im, Youngsung Kim

Mar Pollut Bull· April 2018

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