Jhoon Kim

Professor, Yonsei Lee Youn Jae Fellow

Yonsei University

South Korea

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About

Jhoon Kim is a Professor and the Yonsei Lee Youn Jae Fellow at Yonsei University, South Korea. His research areas include atmospheric monitoring and pollution, with a focus on nitrogen dioxide levels, aerosol properties, and particulate matter. He has contributed significantly to the field through his recent publications on satellite observations and the application of machine learning in environmental data analysis.

Articles (21)

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2022

Collaborators (6)

Jens Redemann

Director/Professor

University of Oklahoma

UNITED STATES

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Yujin Oak

Harvard University

UNITED STATES

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Juseon Bak

Pusan National University

SOUTH KOREA

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Kelvin Bates

Assistant Professor

University of Colorado Boulder

UNITED STATES

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RAINER VOLKAMER

University of Colorado Boulder

UNITED STATES

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Seoyoung Lee

Yonsei University

SOUTH KOREA

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Jhoon Kim

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Articles (21)

A continuous 2011–2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from geostationary satellite observations: Population exposure and long-term trends

Cross-Validation of GEMS Total Ozone from Ozone Profile and Total Column Products Using Pandora and Satellite Observations

Mitigating bias induced by missing data in new-generation geostationary satellite monitoring of ground-level NO2 via machine learning

Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS)

Tropospheric nitrogen dioxide levels vary diurnally in Asian cities

Tropospheric NO<sub>2</sub> Column over Tibet Plateau According to Geostationary Environment Monitoring Spectrometer: Spatial, Seasonal, and Diurnal Variations

Long-term trends in aerosol properties derived from AERONET measurements

Atmospheric HONO Observed Over Global Biomass Burning Regions Using Satellite Observations of TROPOMI and GEMS

A continuous 2011-2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from geostationary satellite observations: Population exposure and long-term trends

Aerosol Fine-Mode-Fraction Retrieval From GEO-KOMPSAT-2A/AMI Using a Deep Neural Network and Spectral Deconvolution Algorithm

A SmallSat Concept to Resolve Diurnal and Vertical Variations of Aerosols, Clouds, and Boundary Layer Height

Aerosol Layer Height Retrieval Over Ocean From the Advanced Himawari Imager Using Spectral Reflectance Sensitivity

Assessment of air quality in North Korea from satellite observations

Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia

Potential improvement of XCO2 retrieval of the OCO-2 by having aerosol information from the A-train satellites

Tropospheric NO2 vertical profiles over South Korea and their relationto oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space

Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties

AEROsol generic classification using a novel Satellite remote sensing Approach (AEROSA)

Characteristics of the Spectral Response Function of Geostationary Environment Monitoring Spectrometer Analyzed by Ground and In-Orbit Measurements

Continuous mapping of fine particulate matter (PM2.5) air quality in East Asia at daily 6 x 6 km(2) resolution by application of a random forest algorithm to 2011-2019 GOCI geostationary satellite data

Fast and operational gap filling in satellite-derived aerosol optical depths using statistical techniques

Collaborators (6)

Jens Redemann

Yujin Oak

Juseon Bak

Kelvin Bates

RAINER VOLKAMER

Seoyoung Lee

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