Get started
Author

Daegeun Shin

Observed names: D.‐B. Shin, Shin, Daegeun
ORCID: 0000-0002-8408-5210
Observed ORCID: 0000-0002-8408-5210
OpenAlex ID: A5082646880
A New Application of Unsupervised Learning to Nighttime Sea Fog Detection
2018 · Daegeun Shin, Jae-Hwan Kim · Asia-Pacific Journal of Atmospheric Sciences · 43
An assessment of thin cloud detection by applying bidirectional reflectance distribution function model‐based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea
2017 · Hye‐Won Kim, Jong‐Min Yeom, et al. · Journal of Geophysical Research Atmospheres · 20
PDF
Variations in Ozone Concentration over the Mid-Latitude Region Revealed by Ozonesonde Observations in Pohang, South Korea
2020 · Daegeun Shin, Seungjoo Song, et al. · Atmosphere · 19
PDF
Influence of ENSO on Tropospheric Ozone Variability in East Asia
2023 · Yujoo Jeong, Si‐Wan Kim, et al. · Journal of Geophysical Research Atmospheres · 18
Analysis of the Fog Detection Algorithm of DCD Method with SST and CALIPSO Data
2013 · Daegeun Shin, Hyungmin Park, et al. · Atmosphere · 17
PDF
Characteristics of Asian Dust Observed over the Yellow Sea during YES-AQ Campaign in March, 2021 based on Vessel and Aircraft Measurement
2022 · Jeong Eun Kim, Won Seok Jung, et al. · Journal of Korean Society for Atmospheric Environment · 11
Total Ozone Trends in East Asia from Long-Term Satellite and Ground Observations
2021 · Daegeun Shin, Young-Suk Oh, et al. · Atmosphere · 11
PDF
Aerosol Physical Characteristics over the Yellow Sea Using Optical Particle Counter Measurement Data Onboard Gisang1 Vessel during the YES-AQ Campaign
2022 · Daegeun Shin, Jeong Eun Kim, et al. · Journal of Korean Society for Atmospheric Environment · 8
Latitudinal distribution and sources analysis of greenhouse gases and air pollutants observed during the 2021 Yellow Sea Air Quality campaign aboard a research vessel
2023 · Shanlan Li, Samuel Takele Kenea, et al. · Atmospheric Environment · 7
Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling
2024 · Samuel Takele Kenea, Daegeun Shin, et al. · Atmospheric Environment · 4
PDF
Analysis of Aerosol Characteristics through Stereoscopic Observation of the West Sea during the 2019 YES-AQ Campaign
2022 · Min Jae Jeong, Hee-Jung Yoo, et al. · Journal of Korean Society for Atmospheric Environment · 3
Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1983-2024; obspack_ch4_1_GLOBALVIEWplus_v8.0_2026-01-13
2026 · Schuldt, Kenneth N., Aalto, Tuula, et al. · HAL · 2
Achievements and Future Prospects of Greenhouse Gas Research for Climate Change Monitoring in Korea
2025 · Sangwon Joo, Sunran Lee, et al. · Journal of Korean Society for Atmospheric Environment · 2
Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2024; obspack_co2_1_GLOBALVIEWplus_v11.0_2026-01-12
2025 · Schuldt, Kenneth N., Mund, John, et al. · Global Monitoring Laboratory · 2
Analysis of Carbon Dioxide Growth Rate Observed at Anmyeon-do, Korea, and Globally over the Last Decade
2024 · Sunran Lee, Daegeun Shin, et al. · Journal of Korean Society for Atmospheric Environment · 2
Preface to the Special Collection “Advances in Remote Sensing of Rainfall and Snowfall”
2018 · R. Roca, R. Bennartz, et al. · Quarterly Journal of the Royal Meteorological Society · 2
PDF
Regional CO 2 and CH 4 inversion system using WRF-Chem (v4.4)/DART (v9.8.0) and continuous high-precision observations over the Korean Peninsula
2026 · Doyoon Kwon, Bonhoon Koo, et al. · Geoscientific model development · 1
PDF
Spatiotemporal Variability of Greenhouse Gas Concentrations at the WMO/GAW Observational Sites in Korea
2025 · Ho Yeon Shin, Jaemin Kim, et al. · Atmosphere · 1
PDF
Greenhouse Gas Measurements using the Boseong Tall Tower during the ASIA-AQ Campaign
2025 · Seokhan Jeong, Daegeun Shin, et al. · JOURNAL OF ENVIRONMENTAL ANALYSIS, HEALTH AND TOXICOLOGY · 1
PDF
CarbonTracker CT2026
2026 · Andrew R. Jacobson, Kenneth N. Schuldt, et al. · Global Monitoring Laboratory
Evaluation of model-simulated atmospheric methane over South Korea using ground-based and aircraft observations
2026 · Se-Won Do, Changsub Shim, et al. · Environmental Monitoring and Assessment
Methane (CH4) emission estimates for South Korea using Lagrangian-based inversion modeling (2010–2021)
2026 · Samuel Takele Kenea, Daegeun Shin, et al. · Atmospheric Environment X
National-scale methane emissions in South Korea (2010–2021): insights from multiple inversion systems
2026 · Samuel Takele Kenea, Daegeun Shin, et al. · EGU General Assembly Conference Abstracts
Improving the Accuracy of CO₂ Emission Estimates over South Korea Using a Top-down Inversion Framework
2026 · Ho Yeon Shin, Daegeun Shin, et al. · EGU General Assembly Conference Abstracts
Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1983-2024; obspack_ch4_1_GLOBALVIEWplus_v8.1_2026-07-13
2026 · Schuldt, Kenneth N., Aalto, Tuula, et al. · Global Monitoring Laboratory
Works count: 45
Citation count: 202
H-index: 8
I10-index: 7
Year
Topic
Type