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Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and Central Africa.
- Published in:
- Atmospheric Chemistry & Physics Discussions, 2024, p. 1, doi. 10.5194/egusphere-2024-1327
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- Article
Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic Network.
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- Remote Sensing, 2023, v. 15, n. 14, p. 3621, doi. 10.3390/rs15143621
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- Article
Fast and operational gap filling in satellite-derived aerosol optical depths using statistical techniques.
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- Journal of Applied Remote Sensing, 2022, v. 16, n. 4, p. 44507, doi. 10.1117/1.JRS.16.044507
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- Article
An Ultra‐Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared (Adv. Sci. 27/2022).
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- Advanced Science, 2022, v. 9, n. 27, p. 1, doi. 10.1002/advs.202270171
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- Article
An Ultra‐Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared.
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- Advanced Science, 2022, v. 9, n. 27, p. 1, doi. 10.1002/advs.202201227
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- Article
Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties.
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- Atmospheric Chemistry & Physics, 2022, v. 22, n. 17, p. 11275, doi. 10.5194/acp-22-11275-2022
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- Article
Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations.
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- Atmospheric Chemistry & Physics, 2022, v. 22, n. 2, p. 1395, doi. 10.5194/acp-22-1395-2022
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- Article
Airborne observation during KORUS-AQ show aerosol optical depth are more spatially self-consistent than aerosol intensive properties.
- Published in:
- Atmospheric Chemistry & Physics Discussions, 2022, p. 1, doi. 10.5194/acp-2021-1012
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- Article
Comparison of PM 2.5 in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 22, p. 10755, doi. 10.3390/app112210755
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- Article
Modeling Asian Dust Storms Using WRF‐Chem During the DRAGON‐Asia Field Campaign in April 2012.
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- Journal of Geophysical Research. Atmospheres, 2021, v. 126, n. 18, p. 1, doi. 10.1029/2021JD034793
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- Article
Inferring iron oxides species content in atmospheric mineral dust from DSCOVR EPIC observations.
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- Atmospheric Chemistry & Physics Discussions, 2021, p. 1, doi. 10.5194/acp-2021-599
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- Publication type:
- Article
Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns.
- Published in:
- Atmospheric Measurement Techniques, 2021, v. 14, n. 6, p. 4575, doi. 10.5194/amt-14-4575-2021
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- Article
A global analysis of diurnal variability in dust and dust mixture using CATS observations.
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- Atmospheric Chemistry & Physics, 2021, v. 21, n. 3, p. 1427, doi. 10.5194/acp-21-1427-2021
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- Article
A Global Analysis of Dust Diurnal Variability Using CATS Observations.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-991
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- Publication type:
- Article
Integration of GOCI and AHI Yonsei Aerosol Optical Depth Products During the 2016 KORUS-AQ and 2018 EMeRGe Campaigns.
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- 2020
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- Publication type:
- Abstract
Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues.
- Published in:
- Geoscientific Model Development, 2020, v. 13, n. 3, p. 1055, doi. 10.5194/gmd-13-1055-2020
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- Article
A Global Analysis of Dust Diurnal Variability Using CATS Observations.
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- Atmospheric Chemistry & Physics Discussions, 2019, p. 1, doi. 10.5194/acp-2019-975
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- Publication type:
- Article
Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign.
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- Atmospheric Measurement Techniques, 2019, v. 12, n. 8, p. 4619, doi. 10.5194/amt-12-4619-2019
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- Article
Development of Korean Air Quality Prediction System version 1 (KAQPS v1): an operational air quality prediction system with focuses on practical issues.
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- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-169
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- Publication type:
- Article
Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign.
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- Atmospheric Measurement Techniques Discussions, 2019, p. 1, doi. 10.5194/amt-2019-46
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- Publication type:
- Article
Long-range transboundary transport of air pollutants into Korea during the EMeRGe-Asia campaign.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
Diurnal variation of aerosol optical depth and PM2:5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model.
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- Atmospheric Chemistry & Physics, 2018, v. 18, n. 20, p. 15125, doi. 10.5194/acp-18-15125-2018
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- Article
Estimation of ground level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea.
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- Atmospheric Chemistry & Physics Discussions, 2018, p. 1, doi. 10.5194/acp-2018-647
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- Publication type:
- Article
AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products.
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- Remote Sensing, 2018, v. 10, n. 5, p. 699, doi. 10.3390/rs10050699
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- Article
An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks.
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- Atmospheric Chemistry & Physics, 2018, v. 18, n. 2, p. 655, doi. 10.5194/acp-18-655-2018
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- Publication type:
- Article
GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia.
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- Atmospheric Measurement Techniques, 2018, v. 11, n. 1, p. 385, doi. 10.5194/amt-11-385-2018
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- Publication type:
- Article
GOCI Yonsei aerosol retrieval version 2 aerosol products: improved algorithm description and error analysis with uncertainty estimation from 5-year validation over East Asia.
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- Atmospheric Measurement Techniques Discussions, 2017, p. 1, doi. 10.5194/amt-2017-251
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- Publication type:
- Article
Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT.
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- Remote Sensing, 2017, v. 9, n. 7, p. 687, doi. 10.3390/rs9070687
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- Article
Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager.
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- Remote Sensing, 2017, v. 9, n. 4, p. 378, doi. 10.3390/rs9040378
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- Article
An overview of meso-scale aerosol processes, comparison and validation studies from DRAGON networks.
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- Atmospheric Chemistry & Physics Discussions, 2017, p. 1, doi. 10.5194/acp-2016-1182
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- Publication type:
- Article
GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 3, p. 1377, doi. 10.5194/amt-9-1377-2016
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- Publication type:
- Article
GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign.
- Published in:
- Atmospheric Measurement Techniques Discussions, 2016, v. 9, n. 3, p. 1377, doi. 10.5194/amt-9-1377-2016
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- Publication type:
- Article
Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations.
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- Geophysical Research Letters, 2014, v. 41, n. 24, p. 9188, doi. 10.1002/2014GL062089
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- Article