발행물

전체 논문

380

131

A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
Oak, YJ, Jacob, DJ, Balasus, N, Yang, LH, Chong, H, Park, J, Lee, H, Lee, GT, Ha, ES, Park, RJ, Kwon, HA, 김준
Atmospheric Measurement Techniques, 202409

132

Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO<sub>2</sub> Estimation With GEMS
He, Q, Qin, K, Cohen, JB, Li, D, 김준
Geophysical Research Letters, 202409

133

Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa
Choi, M, Lyapustin, A, Schuster, GL, Go, S, Wang, YJ, Korkin, S, Kahn, R, Reid, JS, Hyer, EJ, Eck, TF, Chin, M, Diner, DJ, Kalashnikova, O, Dubovik, O, 김준, Moosmuller, H
Atmospheric Chemistry and Physics, 202409

134

Improved mean field estimates from the Geostationary Environment Monitoring Spectrometer (GEMS) Level-3 aerosol optical depth (L3 AOD) product: Using spatiotemporal variability
Kim, Sooyon, Cho, Yeseul, Ki, Hanjeong, 박세영, Oh, Dagun, Lee, Seungjun, Cho, Yeonghye, 김준, Lee, Wonjin, 박재우, 진익훈, 강상욱
Atmospheric Measurement Techniques, 202409

135

Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval
Yan, X, Zang, Z, Li, ZQ, Chen, HW, Chen, JY, Jiang, YZ, Chen, YH, He, B, Zuo, C, Nakajima, T, 김준
Environmental Science & Technology, 202408

136

Estimation of ground-level NO<sub>2</sub> and its spatiotemporal variations in China using GEMS measurements and a nested machine learning model
Ahmad, N, Lin, CQ, Lau, AKH, 김준, Zhang, TS, Yu, FQ, Li, CC, Li, Y, Fung, JCH, Lao, XQ
Atmospheric Chemistry and Physics, 202408

137

Quantifying the diurnal variation in atmospheric NO<sub>2</sub> from Geostationary Environment Monitoring Spectrometer (GEMS) observations
Edwards, DP, Martinez-Alonso, S, Jo, DS, Ortega, I, Emmons, LK, Orlando, JJ, Worden, HM, 김준, Lee, H, Park, J, Hong, H
Atmospheric Chemistry and Physics, 202408

138

Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods
Kim, M, 김준, Lim, H, Lee, S, Cho, Y, Lee, YG, Go, S, Lee, K
Atmospheric Measurement Techniques, 202407

139

Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO <sub>2</sub> ) over East Asia
Yang, LH, Jacob, DJ, Dang, RJ, Oak, YJ, Lin, HP, 김준, Zhai, SX, Colombi, NK, Pendergrass, DC, Beaudry, E, Shah, VR, Feng, X, Yantosca, RM, Chong, HS, Park, J, Lee, HL, Lee, WJ, Kim, S, Kim, E, Travis, KR, Crawford, JH, Liao, H
Atmospheric Chemistry and Physics, 202406

140

Global retrieval of stratospheric and tropospheric BrO columns from the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) on board the Suomi-NPP satellite
Chong, H., Abad, G.G., Nowlan, C.R., Miller, C.C., Saiz-Lopez, A., Fernandez, R.P., Kwon, H.-A., Ayazpour, Z., Wang, H., Souri, A.H., Liu, X., Chance, K., O’Sullivan, E., 김준, 구자호, Simpson, W.R., Hendrick, F., Querel, R., Jaross, G., Seftor, C., Suleiman, R.M.
Atmospheric Measurement Techniques, 202405