Hyunkwang Lim

发表

Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign

M. Garay, T. Eck, B. Holben, 2019, Atmospheric Measurement Techniques.

AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products

Jhoon Kim, Pak Wai Chan, Myungje Choi, 2018, Remote. Sens..

Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns

Jhoon Kim, Y. Kasai, Chang-Keun Song, 2020, Atmospheric Measurement Techniques.

Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign

T. Eck, B. Holben, Joon-Young Ahn, 2019, Atmospheric Environment.

Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements

Nickolay A. Krotkov, Sujung Go, Gordon Labow, 2020 .

Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations

R. Martin, J. Jimenez, B. Anderson, 2021, Atmospheric Chemistry and Physics.

Interpretation of geostationary satellite aerosol optical depth (AOD) over East Asia in relation to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and seasonality

R. Martin, D. Jacob, J. Jimenez, 2021 .

Fine Particulate Concentrations Over East Asia Derived from Aerosols Measured by the Advanced Himawari Imager Using Machine Learning

Jhoon Kim, J. Im, Myungje Choi, 2023, SSRN Electronic Journal.

Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia

S. Park, Y. Lee, Hyunkwang Lim, 2023, Atmospheric Environment.

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

Sang-Woo Kim, Jhoon Kim, Seoyoung Lee, 2023, Atmospheric Measurement Techniques.

Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT

Jhoon Kim, Tae-Young Goo, Tatsuya Yokota, 2017, Remote. Sens..

Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product

Jungho Im, Jungho Im, Sujung Go, 2020, Remote. Sens..

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

Woogyung V. Kim, Jhoon Kim, Sujong Jeong, 2023, GIScience & Remote Sensing.

Retrieval and Validation of Aerosol Optical Properties Using Japanese Next Generation Meteorological Satellite, Himawari-8

Jhoon Kim, Mijin Kim, P. Chan, 2016 .

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

Jhoon Kim, Y. Kasai, Seoyoung Lee, 2023, IEEE Geoscience and Remote Sensing Letters.

Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: the TROPOspheric Monitoring Instrument (TROPOMI) NO2 product and the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol optical depth (AOD) data fusion product and its proxy

Jhoon Kim, Yunsoo Choi, Jia Jung, 2023, Atmospheric Measurement Techniques.

Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: TROPOMI product, and the Geostationary Environment Monitoring Spectrometer (GEMS) data fusion product and its proxy

Jhoon Kim, Yunsoo Choi, Jia Jung, 2023 .

Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: The Geostationary Environment Monitoring Spectrometer (GEMS) data fusion product and its proxies

Jhoon Kim, Yunsoo Choi, Jia Jung, 2023 .